Statistics Class Level Test Mu Alpha Theta State 2008

Size: px
Start display at page:

Download "Statistics Class Level Test Mu Alpha Theta State 2008"

Transcription

1 Statistics Class Level Test Mu Alpha Theta State Which of the following are true statements? I. The histogram of a binomial distribution with p = 0.5 is always symmetric no matter what n, the number of trials, is. II. The histogram of a binomial distribution with p = 0.9 and n = 7 is skewed to the right. III. The histogram of a binomial distribution with p = 0.9 is almost symmetric if n is very large. (A) I and II (B) I and III (C) II and III (D) I, II, and III 2. The type of sampling in which each member of the population selected for the sample is returned to the population before the next member is selected is called (A) Sampling without replacement (B) Sampling with replacement (C) Simple random sampling (D) Systematic sampling 3. The summary statistics for selling prices (in thousands of dollars) of 35 luxury condominiums are as follows: x Sx Min. Q1 Med. Q3 Max Which of the following correctly determines the boundaries for outliers in this distribution? (A) 545 ±1.5 (460) (B) (510) and (510) (C) 651 ± 1.5 (510) (D) (460) and (460) 4. The Academic Registrar compiled data on 11,000 students, which were summarized in a contingency table. The survey results were cross-classified by gender and department of study. GENDER Science Humanities Business Arts Total Male (M) Female (F) Total Suppose a student is randomly selected. What is the probability (to the nearest thousandth) that a student is either a male or in the Humanities department? (A) (B) (C) (D) A politician wants to know what percentage of the voters supports her position on the issue of forced busing for integration. What size voter sample should be obtained to determine with 90% confidence the support level to within 4%? (A) 21 (B) 25 (C) 423 (D) 600

2 6. We wish to investigate if a new medicine is effective in reducing the length and severity of the flu. We take the next 20 patients that come to the walk-in clinic complaining of flu and, after a medical exam to verify that the patients do have the flu, we give them the new medicine and tell them about the new drug we are giving them. One week later, the patients are contacted and 15 patients state the new remedy was helpful in reducing the severity and length of the illness. Which of the following is NOT CORRECT? (A) This is a poor experiment because there is no control group. We do not know how many would feel better in a week without treatment. (B) This is a poor experiment because it is not double-blinded. The patients may feel relief because they thought the drug should work. (C) This is a poor experiment because a convenience sample was selected. Patients who come to the walk-in clinic may have more severe flu than people who do not. (D) This is a poor experiment because we didn t give the remedy to people without the flu to assess its effect in a control group. 7. The marketing manager of a pharmaceutical company believes that more girls than boys use its acne medicine. In a recent survey, 2500 teenagers are asked whether or not they use that particular product. The responses, separated by sex, are summarized below. Use acne Total medicine Female Male Give a 90% confidence interval for the difference between the proportion of girls and boys who use this acne medication. (A) ± ( 1.4 ) ( 1.34 ) ± 1.96 (B).4 ( 1.4 ) ( 1.34) 1150 ( ).4.34 ± (C) ( ).4.34 ± (D) According to a CBS/New York Times poll taken in 1992, 15% of the public have responded to a telephone call-in poll. In a random group of five people, what is the probability (to the nearest thousandth) that exactly two have responded to a call-in poll? (A).138 (B).165 (C).300 (D).835

3 9. Lice are a pesky problem for school aged children and is unrelated to cleanliness. The lifetimes of lice that have fallen off the scalp onto bedding is approximately normally distributed with a mean of 2.2 days and a standard deviation of 0.4 days. We would expect that once the lice start falling off the scalp, 90% of the lice would die within days (to the nearest tenth): (A) 2.6 days (B) 3.9 days (C) 2.5 days (D) 2.7 days 10. Which of the following statements is correct? I. You can reduce the probability of a Type I error by decreasing your value for α. II. You can reduce the probability of a Type II error by increasing your sample size. III. If you reduce the probability of a Type I error, you automatically reduce the probability of a Type II error as well. (A) II only (B) I and II. (C) II and III. (D) I, II, and III. 11. The average length of stay in a hospital is useful for planning purposes. Suppose that the following is the distribution of the length of stay in a hospital after a minor operation: Days Prob The average length of stay is: (A) 4.2 days (B).17 days (C) 3.3 days (D) 4.0 days 12. The Correcto Publishing Company claims that its publications will have errors only twice in every 100 pages. What is the approximate probability that Anne will read 235 pages of a 790-page book published by Correcto before finding an error? (A) 0.02% (B) 2% (C) 5% (D) 16% 13. Suppose that the distribution of math SAT scores from your state this year is normally distributed with mean 480 and standard deviation 100 for males, and mean 440 and standard deviation 120 for females. If someone who scores 780 or higher on math SAT can be considered a genius, what is the approximate proportion of geniuses among the male SAT takers? (A) 28% (B) 15% (C) 3% (D) 1.5%

4 14. Seventeen people have been exposed to a particular disease. Each one independently has a 40% chance of contracting the disease. A hospital has the capacity to handle 10 cases of the disease. What is the probability (to the nearest thousandth) that the hospital s capacity will be exceeded? (A) (B) (C) (D) Suppose that the scatterplot of log Y on X produces a correlation close to 1. Which of the following is true? I. The correlation between the variables X and Y may also have a correlation close to 1. II. The residual plot of Y on X will show a clearly curved pattern of points. III. The difference between consecutive values of y for equal x-intervals is approximately constant. (A) I and II only (B) I and III only (C) II and III only (D) I, II, and III 16. A researcher wishes to compare the effects of 2 fertilizers on the yield of a soybean crop. She has 20 plots of land available and she decides to use a paired experiment using 10 pairs of plots. Thus, she will: (A) use a table of random numbers to divide the 20 plots into 10 pairs and then, for each pair, flip a coin to assign the fertilizers to the 2 plots. (B) subjectively divide the 20 plots into 10 pairs (making the plots within a block as similar as possible) and then, for each pair, flip a coin to assign the fertilizers to the 2 plots. (C) use a table of random numbers to divide the 20 plots into 10 pairs and then use the table of random numbers a second time to decide upon the fertilizer to be applied to each pair. (D) flip a coin to divide the 20 plots into 10 pairs and then, for each pair, use a table of random numbers to assign the fertilizers to the 2 plots. 17. A publisher uses standard boxes for shipping books. The mean weight of books packed per box is 25 pounds, with a standard deviation of 2 pounds. The mean weight of the boxes is 1 pound, with a standard deviation of 0.15 pounds. The mean weight of the packing material used per box is 2 pounds, with a standard deviation of 0.25 pounds. What is the standard deviation (to the nearest thousandth) of the weights of the packed boxes? (A) pounds (B) pounds (C) pounds (D) pounds 18. A study was conducted to estimate the effectiveness of doing assignments in an introductory statistics course. Students in one section taught by instructor A received assignments. Students in another section taught by instructor B, received no assignments. The final grade of each student was recorded. A 95% confidence interval for the difference in the mean grades (Section A - Section B) was computed to be 3.5 ± 1.8. This means: (A) There is evidence that doing assignments improves the average grade because the difference in the population means is negative. (B) There is little evidence that doing assignments improves the average grade because the 95% confidence interval does not cover 0. (C) There is evidence that doing assignments improves the average grade because the 95% confidence is entirely positive. (D) There is evidence that doing assignments does not improve the average grade because the 95% confidence interval does not cover 0.

5 19. Suppose the regression equation for predicting success on a dexterity task (y) from number of training sessions (x) is y = x and s y s x = What percentage of the variation in y is NOT explained by the regression on x? (A) 81% (B) 19% (C) 66% (D) 34% 20. Seven sets of identical twins are given psychological tests to determine whether the firstborn of the twins tends to be more aggressive than the second born. The results are shown in the following table, where the higher score represents greater aggressiveness. Set Firstborn Second born Difference If we are willing to assume that the necessary conditions for inference hold true, then the approximate value of the appropriate test statistic is: (A) and we would reject H0 at α =.05 (B) 1.71 and we would reject H0 at α =.05 (C) 1.71 and we would not reject H0 at α =.05 (D) and we would not reject H0 at α = The following numbers are extracted from a table of random digits: A scientist will be measuring the total amount of mercury content in a random sample of sites selected without replacement from a population of 75 sites. The sites are labeled 01, 02,..., 75 and she starts at the beginning of the line of random digits and takes consecutive pairs of digits. Which of the following is correct? (A) Her sample is 81, 15, 50, 02, 27 (B) Her sample is 81, 50, 27, 93, 82 (C) Her sample is 50, 27, 24, 09, 41 (D) Her sample is 50, 27, 24, 09, An experiment was designed to investigate the effect of the amount of water and seed variety upon subsequent growth of plants. Each plant was potted in a randomly selected clay plot, and a measured amount of water was given weekly. The height of the plant at the end of the experiment was measured. Which of the following is NOT correct? (A) The response variable is the plant height. (B) The explanatory variables are the amount of water and seed variety. (C) Randomization was used to even out the effect of other possible factors upon the growth of the plants. (D) The researcher should vary the amount of water each seed gets so that each seed gets treated with every amount of water.

6 23. In a survey or airline travelers, subjects were observed in the coach section of airplanes to determine if men or women are bothered by a seatmate of the opposite gender using the common armrest. ( Passengers who were asleep or lovers cuddled together were not counted, since these were considered confounding circumstances. ) BOTHERED NOT BOTHERED Females Males What is the probability that a randomly chosen passenger is bothered? is bothered, given that the passenger is male? (A) 19/45; 38/56 (B) 57/101; 38/101 (C) 38/56; 38/101 (D) 57/101;38/57 What is the probability that a randomly selected passenger 24. Refer to the previous problem. Are the events being male and being bothered independent? (A) No, because P(bothered) P(bothered Male) (B) Yes, because P(bothered) = P(bothered Male) (C) No, because P(bothered) = P(bothered Male) (D) Yes, because P(bothered) P(bothered Male) 25. Twenty types of beef hot dogs were tested for calories and sodium (mg). The hot dogs averaged calories with a standard deviation of 22.64, and the sodium level averaged mg with a standard deviation of mg. The correlation was given as r = To the nearest hundredth, the equation of the least-squares regression line (LSRL) predicting sodium level from number of calories is (A) y = x (B) y = x (C) y = x (D) y = x 26. Two 90% confidence interval estimates are obtained: I (28.5, 34.5) and II ( ). a. If the sample sizes are the same, which has the larger standard deviation? b. If the sample standard deviations are the same, which has the larger size? (A) a. I b. I (B) a. I b. II (C) a. II b. I (D) a. II b. II 27. Which of the following lead to binomial distributions? I. An inspection procedure at an automobile manufacturing plant involves selecting a sample of 20 cars from the assembly line and noting for each whether there are no defects, at least one major defect, or only minor defects. II. As students study more and more during their AP Statistics class, their chances of getting an A on any given test continue to improve. The teacher is interested in the probability of any given student receiving various numbers of A s on the 8 class exams. III. A committee of two is to be selected from among the five teachers and ten students attending a meeting. What are the probabilities that the committee will consist of two teachers, of two students, or of exactly one teacher and one student? (A) I only (B) II only (C) III only (D) II and III

7 28. In a certain community, 20% of cable subscribers also subscribe to the company's broadband service for their Internet connection. You would like to design a simulation to estimate the probability that one of six randomly selected subscribers has the broadband service. Using digits 0 through 9, which of the following assignments would be appropriate to model this situation? (A) Assign even digits to broadband subscribers and odd digits to cable-only subscribers. (B) Assign 0 and 1 to broadband subscribers and 2,3,4,5,6,7,8, and 9 to cable-only subscribers. (C) Assign 0,1, and 2 to broadband subscribers and 3, 4, 5, 6, 7, 8, and 9 to cable-only subscribers. (D) Assign 0, 1, and 2 to broadband subscribers; 3,4,5, and 6 to cable only subscribers; and ignore digits 7, 8, and An analyst, using a random sample of n = 500 families, obtained a 90 percent confidence interval for mean monthly family income for a large population: ($600, $800). If the analyst had used a 99 percent confidence coefficient instead, the confidence interval would be: (A) narrower and less likely to contain the population mean family income (B) wider and more likely to contain the population mean family income (C) narrower and more likely to contain the population mean family income (D) wider and less likely to contain the population mean family income 30. A state auditor is given an assignment to choose and audit 26 companies. She lists all companies whose name begins with A, assigns each a number, and uses a random number table to pick one of these numbers and thus one company. She proceeds to use the same procedure for each letter of the alphabet and then combines the 26 results into a group for auditing. Which of the following are true statements? I. Her procedure makes use of chance. II. Her procedure results in a systematic random sample. III. Each company has an equal probability of being audited. (A) I and II (B) I and III (C) II and III (D) I, II, and III 31. The Barbarian Aptitude Test (BAT) gives each Barbarian two scores, one for pillaging and one for burning. The scores range from a low of 0 to a high of 50. The least squares equation for a large group of Barbarians who took the BAT is Predicted Burning = Pillaging Which of the following is the best interpretation of the slope of this line? (A) Barbarians tend to score about 0.3 point higher on burning than on pillaging. (B) Barbarians score about 30% as many points on burning as on pillaging. (C) The burning score is highly correlated with the pillaging score. (D) A Barbarian who earned 1 more point on pillaging than another Barbarian tended to earn only 0.3 point more on burning. 32. For the sake of efficiency, a shoe company decides to produce the left shoe of each pair at one site and the right shoe at a different site. If the two sites produce shoes with a number of defects reflected by µ1= 0.002, σ1= 0.15 and µ2 = 0.005, σ2 = 0.18, what is the mean and standard deviation for the number of defects for pairs of shoes produced by this company? (A) µ = , σ= (B) µ = , σ= (C) µ = 0.007, σ= (D) µ = 0.007, σ =

8 33. In a game of chance, three fair coins are tossed simultaneously. If all three coins show heads, then the player wins $15. If all three coins show tails, then the player wins $10. Any other flips result in $0 won. If it costs $5 to play the game, what is the player's expected net gain or loss at the end of two games? (A) The player can expect to lose $3.75 after two games. (B) The player can expect to gain $1.88 after two games. (C) The player can expect to gain $3.75 after two games. (D) The player can expect to lose $1.88 after two games. 34. A recent estimate by a large distributor of gasoline claims that 60% of all cars stopping at their service stations chose unleaded gas and that super unleaded and regular were each selected 20% of the time. In order to check the validity of these proportions, a study was conducted of cars stopping at the distributor's service stations in a large city. The results were as follows: Gasoline Selected Regular Unleaded Super Unleaded The value of the appropriate test statistic and approximate p-value, respectively, are: (A) 13.15,.0014 (B) (C) 13.15,.0028 (D) 13.15, The effects of a toxic pollutant upon fish were examined by placing fish in a two liter solution of water with various concentrations of the pollutant. The researchers wanted to see if there was any type of association between the level or pollutant and the time it took for the fish to show distress. The time (in minutes) until the fish showed distress was recorded at which time the fish were removed from the container. A total of 18 pairs of data were collected. Note that the pollutant is measured on a logarithmic scale where a change of one unit represents an increase of 10 fold in the pollution concentration. A preliminary plot of the data showed that the relationship of time vs. log(pollution) was approximately linear. The computer output appears at the top of the next column. T FOR H0: PARAMETER=0 PARAMETER ESTIMATE STD ERROR OF ESTIMATE TEST STAT PR > T INTERCEPT LOGPOLLUT A 95% confidence interval for the slope is: (A) 7.56 ± 1.96(1.978) (B) ± 1.96(0.438) (C) 7.56 ± 2.12(1.978) (D) ± 2.12 (.438) 36. The average yearly snowfall in Chillyville is normally distributed with a mean of 55 inches. If the snowfall in Chillyville exceeds 60 inches in 15% of the years, what is the standard deviation (to the nearest hundredth)? (A) 0.21 inches (B) 4.82 inches (C) 5.18 inches (D) 5.00 inches

9 37. Consumer Reports found that Duracell Alkaline AA batteries have a mean lifetime of 4.1 hours and a standard deviation of 1.8 hours. Eveready Energizer AA batteries have a mean lifetime of 4.5 hours with a standard deviation of 2.0 hours. Assume both battery lifetimes are normally distributed. If you choose one of each battery at random, then to the nearest thousandth what is the probability that the Duracell lasts longer than the Eveready? (A) (B) (C) (D) A basketball player with a poor foul-shot record practices intensively during the off-season. He tells the coach that he has raised his proficiency from 60% to 90%. Dubious, the coach asks him to take 10 shots, and will only be convinced that the player has improved if he hits 90% or more. Find the probability to the nearest thousandth of a Type I error occurring. (A) (B) (C) (D) A researcher who wanted to estimate the mean batting average of baseball players decided to take a sample of 25 professional baseball players and record their batting average. His confidence interval for the true mean batting average of all baseball players was ( , ). Determine what level of significance the researcher used. Assume that batting averages have a standard deviation of σ = (A) 74% (B) 87% (C) 94% (D) 97% 40. A company plans to sell a new product at $60 per unit. Variable costs per unit may be $20 (with a probability of 0.4) or $12. Fixed costs per week are $2000 and demand per week may be 200 units (probability 0.75) or 400 units. What is the expected weekly profit assuming that production is adjusted to demand? (A) $3800 (B) $9200 (C)$7200 (D) $15000

10 Answers: 1. B 2. B 3. D 4. A 5. C 6. D 7. E 8. A 9. D 10. B 11. E 12. A 13. E 14. A 15. A 16. B 17. D 18. C 19. D 20. C 21. C 22. D 23. E 24. A 25. A 26. C 27. E 28. B 29. B 30. E 31. D 32. D 33. A 34. A 35. D 36. B 37. A 38. C 39. C 40. B

1. What is the critical value for this 95% confidence interval? CV = z.025 = invnorm(0.025) = 1.96

1. What is the critical value for this 95% confidence interval? CV = z.025 = invnorm(0.025) = 1.96 1 Final Review 2 Review 2.1 CI 1-propZint Scenario 1 A TV manufacturer claims in its warranty brochure that in the past not more than 10 percent of its TV sets needed any repair during the first two years

More information

Name: Date: Use the following to answer questions 2-3:

Name: Date: Use the following to answer questions 2-3: Name: Date: 1. A study is conducted on students taking a statistics class. Several variables are recorded in the survey. Identify each variable as categorical or quantitative. A) Type of car the student

More information

1) The table lists the smoking habits of a group of college students. Answer: 0.218

1) The table lists the smoking habits of a group of college students. Answer: 0.218 FINAL EXAM REVIEW Name ) The table lists the smoking habits of a group of college students. Sex Non-smoker Regular Smoker Heavy Smoker Total Man 5 52 5 92 Woman 8 2 2 220 Total 22 2 If a student is chosen

More information

Statistics 151 Practice Midterm 1 Mike Kowalski

Statistics 151 Practice Midterm 1 Mike Kowalski Statistics 151 Practice Midterm 1 Mike Kowalski Statistics 151 Practice Midterm 1 Multiple Choice (50 minutes) Instructions: 1. This is a closed book exam. 2. You may use the STAT 151 formula sheets and

More information

AP STATISTICS (Warm-Up Exercises)

AP STATISTICS (Warm-Up Exercises) AP STATISTICS (Warm-Up Exercises) 1. Describe the distribution of ages in a city: 2. Graph a box plot on your calculator for the following test scores: {90, 80, 96, 54, 80, 95, 100, 75, 87, 62, 65, 85,

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Final Exam Review MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) A researcher for an airline interviews all of the passengers on five randomly

More information

Chapter 7 Section 7.1: Inference for the Mean of a Population

Chapter 7 Section 7.1: Inference for the Mean of a Population Chapter 7 Section 7.1: Inference for the Mean of a Population Now let s look at a similar situation Take an SRS of size n Normal Population : N(, ). Both and are unknown parameters. Unlike what we used

More information

STAT 350 Practice Final Exam Solution (Spring 2015)

STAT 350 Practice Final Exam Solution (Spring 2015) PART 1: Multiple Choice Questions: 1) A study was conducted to compare five different training programs for improving endurance. Forty subjects were randomly divided into five groups of eight subjects

More information

Review #2. Statistics

Review #2. Statistics Review #2 Statistics Find the mean of the given probability distribution. 1) x P(x) 0 0.19 1 0.37 2 0.16 3 0.26 4 0.02 A) 1.64 B) 1.45 C) 1.55 D) 1.74 2) The number of golf balls ordered by customers of

More information

Chapter 7: Simple linear regression Learning Objectives

Chapter 7: Simple linear regression Learning Objectives Chapter 7: Simple linear regression Learning Objectives Reading: Section 7.1 of OpenIntro Statistics Video: Correlation vs. causation, YouTube (2:19) Video: Intro to Linear Regression, YouTube (5:18) -

More information

Exercise 1.12 (Pg. 22-23)

Exercise 1.12 (Pg. 22-23) Individuals: The objects that are described by a set of data. They may be people, animals, things, etc. (Also referred to as Cases or Records) Variables: The characteristics recorded about each individual.

More information

Name: Date: Use the following to answer questions 3-4:

Name: Date: Use the following to answer questions 3-4: Name: Date: 1. Determine whether each of the following statements is true or false. A) The margin of error for a 95% confidence interval for the mean increases as the sample size increases. B) The margin

More information

STT 200 LECTURE 1, SECTION 2,4 RECITATION 7 (10/16/2012)

STT 200 LECTURE 1, SECTION 2,4 RECITATION 7 (10/16/2012) STT 200 LECTURE 1, SECTION 2,4 RECITATION 7 (10/16/2012) TA: Zhen (Alan) Zhang zhangz19@stt.msu.edu Office hour: (C500 WH) 1:45 2:45PM Tuesday (office tel.: 432-3342) Help-room: (A102 WH) 11:20AM-12:30PM,

More information

c. Construct a boxplot for the data. Write a one sentence interpretation of your graph.

c. Construct a boxplot for the data. Write a one sentence interpretation of your graph. MBA/MIB 5315 Sample Test Problems Page 1 of 1 1. An English survey of 3000 medical records showed that smokers are more inclined to get depressed than non-smokers. Does this imply that smoking causes depression?

More information

1. The parameters to be estimated in the simple linear regression model Y=α+βx+ε ε~n(0,σ) are: a) α, β, σ b) α, β, ε c) a, b, s d) ε, 0, σ

1. The parameters to be estimated in the simple linear regression model Y=α+βx+ε ε~n(0,σ) are: a) α, β, σ b) α, β, ε c) a, b, s d) ε, 0, σ STA 3024 Practice Problems Exam 2 NOTE: These are just Practice Problems. This is NOT meant to look just like the test, and it is NOT the only thing that you should study. Make sure you know all the material

More information

Module 2 Probability and Statistics

Module 2 Probability and Statistics Module 2 Probability and Statistics BASIC CONCEPTS Multiple Choice Identify the choice that best completes the statement or answers the question. 1. The standard deviation of a standard normal distribution

More information

Draft 1, Attempted 2014 FR Solutions, AP Statistics Exam

Draft 1, Attempted 2014 FR Solutions, AP Statistics Exam Free response questions, 2014, first draft! Note: Some notes: Please make critiques, suggest improvements, and ask questions. This is just one AP stats teacher s initial attempts at solving these. I, as

More information

Chapter 13 Introduction to Linear Regression and Correlation Analysis

Chapter 13 Introduction to Linear Regression and Correlation Analysis Chapter 3 Student Lecture Notes 3- Chapter 3 Introduction to Linear Regression and Correlation Analsis Fall 2006 Fundamentals of Business Statistics Chapter Goals To understand the methods for displaing

More information

Mind on Statistics. Chapter 8

Mind on Statistics. Chapter 8 Mind on Statistics Chapter 8 Sections 8.1-8.2 Questions 1 to 4: For each situation, decide if the random variable described is a discrete random variable or a continuous random variable. 1. Random variable

More information

Simple Linear Regression

Simple Linear Regression STAT 101 Dr. Kari Lock Morgan Simple Linear Regression SECTIONS 9.3 Confidence and prediction intervals (9.3) Conditions for inference (9.1) Want More Stats??? If you have enjoyed learning how to analyze

More information

STATISTICS 8, FINAL EXAM. Last six digits of Student ID#: Circle your Discussion Section: 1 2 3 4

STATISTICS 8, FINAL EXAM. Last six digits of Student ID#: Circle your Discussion Section: 1 2 3 4 STATISTICS 8, FINAL EXAM NAME: KEY Seat Number: Last six digits of Student ID#: Circle your Discussion Section: 1 2 3 4 Make sure you have 8 pages. You will be provided with a table as well, as a separate

More information

Data Analysis Tools. Tools for Summarizing Data

Data Analysis Tools. Tools for Summarizing Data Data Analysis Tools This section of the notes is meant to introduce you to many of the tools that are provided by Excel under the Tools/Data Analysis menu item. If your computer does not have that tool

More information

Statistics 104: Section 6!

Statistics 104: Section 6! Page 1 Statistics 104: Section 6! TF: Deirdre (say: Dear-dra) Bloome Email: dbloome@fas.harvard.edu Section Times Thursday 2pm-3pm in SC 109, Thursday 5pm-6pm in SC 705 Office Hours: Thursday 6pm-7pm SC

More information

Practice Problems and Exams

Practice Problems and Exams Practice Problems and Exams 1 The Islamic University of Gaza Faculty of Commerce Department of Economics and Political Sciences An Introduction to Statistics Course (ECOE 1302) Spring Semester 2009-2010

More information

Chicago Booth BUSINESS STATISTICS 41000 Final Exam Fall 2011

Chicago Booth BUSINESS STATISTICS 41000 Final Exam Fall 2011 Chicago Booth BUSINESS STATISTICS 41000 Final Exam Fall 2011 Name: Section: I pledge my honor that I have not violated the Honor Code Signature: This exam has 34 pages. You have 3 hours to complete this

More information

Final Exam Practice Problem Answers

Final Exam Practice Problem Answers Final Exam Practice Problem Answers The following data set consists of data gathered from 77 popular breakfast cereals. The variables in the data set are as follows: Brand: The brand name of the cereal

More information

6. Let X be a binomial random variable with distribution B(10, 0.6). What is the probability that X equals 8? A) (0.6) (0.4) B) 8! C) 45(0.6) (0.

6. Let X be a binomial random variable with distribution B(10, 0.6). What is the probability that X equals 8? A) (0.6) (0.4) B) 8! C) 45(0.6) (0. Name: Date:. For each of the following scenarios, determine the appropriate distribution for the random variable X. A) A fair die is rolled seven times. Let X = the number of times we see an even number.

More information

Chapter 7 - Practice Problems 2

Chapter 7 - Practice Problems 2 Chapter 7 - Practice Problems 2 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the requested value. 1) A researcher for a car insurance company

More information

socscimajor yes no TOTAL female 25 35 60 male 30 27 57 TOTAL 55 62 117

socscimajor yes no TOTAL female 25 35 60 male 30 27 57 TOTAL 55 62 117 Review for Final Stat 10 (1) The table below shows data for a sample of students from UCLA. (a) What percent of the sampled students are male? 57/117 (b) What proportion of sampled students are social

More information

Chapter 1: Exploring Data

Chapter 1: Exploring Data Chapter 1: Exploring Data Chapter 1 Review 1. As part of survey of college students a researcher is interested in the variable class standing. She records a 1 if the student is a freshman, a 2 if the student

More information

3. There are three senior citizens in a room, ages 68, 70, and 72. If a seventy-year-old person enters the room, the

3. There are three senior citizens in a room, ages 68, 70, and 72. If a seventy-year-old person enters the room, the TMTA Statistics Exam 2011 1. Last month, the mean and standard deviation of the paychecks of 10 employees of a small company were $1250 and $150, respectively. This month, each one of the 10 employees

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. STATISTICS/GRACEY PRACTICE TEST/EXAM 2 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Identify the given random variable as being discrete or continuous.

More information

Statistics 2014 Scoring Guidelines

Statistics 2014 Scoring Guidelines AP Statistics 2014 Scoring Guidelines College Board, Advanced Placement Program, AP, AP Central, and the acorn logo are registered trademarks of the College Board. AP Central is the official online home

More information

Chapter 4 & 5 practice set. The actual exam is not multiple choice nor does it contain like questions.

Chapter 4 & 5 practice set. The actual exam is not multiple choice nor does it contain like questions. Chapter 4 & 5 practice set. The actual exam is not multiple choice nor does it contain like questions. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

More information

Sample Term Test 2A. 1. A variable X has a distribution which is described by the density curve shown below:

Sample Term Test 2A. 1. A variable X has a distribution which is described by the density curve shown below: Sample Term Test 2A 1. A variable X has a distribution which is described by the density curve shown below: What proportion of values of X fall between 1 and 6? (A) 0.550 (B) 0.575 (C) 0.600 (D) 0.625

More information

Mind on Statistics. Chapter 13

Mind on Statistics. Chapter 13 Mind on Statistics Chapter 13 Sections 13.1-13.2 1. Which statement is not true about hypothesis tests? A. Hypothesis tests are only valid when the sample is representative of the population for the question

More information

ch12 practice test SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

ch12 practice test SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. ch12 practice test 1) The null hypothesis that x and y are is H0: = 0. 1) 2) When a two-sided significance test about a population slope has a P-value below 0.05, the 95% confidence interval for A) does

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Ch. 4 Discrete Probability Distributions 4.1 Probability Distributions 1 Decide if a Random Variable is Discrete or Continuous 1) State whether the variable is discrete or continuous. The number of cups

More information

Math 58. Rumbos Fall 2008 1. Solutions to Review Problems for Exam 2

Math 58. Rumbos Fall 2008 1. Solutions to Review Problems for Exam 2 Math 58. Rumbos Fall 2008 1 Solutions to Review Problems for Exam 2 1. For each of the following scenarios, determine whether the binomial distribution is the appropriate distribution for the random variable

More information

Chapter 23. Inferences for Regression

Chapter 23. Inferences for Regression Chapter 23. Inferences for Regression Topics covered in this chapter: Simple Linear Regression Simple Linear Regression Example 23.1: Crying and IQ The Problem: Infants who cry easily may be more easily

More information

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Ch. 10 Chi SquareTests and the F-Distribution 10.1 Goodness of Fit 1 Find Expected Frequencies Provide an appropriate response. 1) The frequency distribution shows the ages for a sample of 100 employees.

More information

Results from the 2014 AP Statistics Exam. Jessica Utts, University of California, Irvine Chief Reader, AP Statistics jutts@uci.edu

Results from the 2014 AP Statistics Exam. Jessica Utts, University of California, Irvine Chief Reader, AP Statistics jutts@uci.edu Results from the 2014 AP Statistics Exam Jessica Utts, University of California, Irvine Chief Reader, AP Statistics jutts@uci.edu The six free-response questions Question #1: Extracurricular activities

More information

Second Midterm Exam (MATH1070 Spring 2012)

Second Midterm Exam (MATH1070 Spring 2012) Second Midterm Exam (MATH1070 Spring 2012) Instructions: This is a one hour exam. You can use a notecard. Calculators are allowed, but other electronics are prohibited. 1. [60pts] Multiple Choice Problems

More information

Cell Phone Impairment?

Cell Phone Impairment? Cell Phone Impairment? Overview of Lesson This lesson is based upon data collected by researchers at the University of Utah (Strayer and Johnston, 2001). The researchers asked student volunteers (subjects)

More information

UNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and Mathematical Sciences Midterm Test March 2014

UNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and Mathematical Sciences Midterm Test March 2014 UNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and Mathematical Sciences Midterm Test March 2014 STAB22H3 Statistics I Duration: 1 hour and 45 minutes Last Name: First Name: Student number: Aids

More information

Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010

Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010 Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010 Week 1 Week 2 14.0 Students organize and describe distributions of data by using a number of different

More information

Normal Probability Distribution

Normal Probability Distribution Normal Probability Distribution The Normal Distribution functions: #1: normalpdf pdf = Probability Density Function This function returns the probability of a single value of the random variable x. Use

More information

Basic Statistics and Data Analysis for Health Researchers from Foreign Countries

Basic Statistics and Data Analysis for Health Researchers from Foreign Countries Basic Statistics and Data Analysis for Health Researchers from Foreign Countries Volkert Siersma siersma@sund.ku.dk The Research Unit for General Practice in Copenhagen Dias 1 Content Quantifying association

More information

a) Find the five point summary for the home runs of the National League teams. b) What is the mean number of home runs by the American League teams?

a) Find the five point summary for the home runs of the National League teams. b) What is the mean number of home runs by the American League teams? 1. Phone surveys are sometimes used to rate TV shows. Such a survey records several variables listed below. Which ones of them are categorical and which are quantitative? - the number of people watching

More information

Introduction to Linear Regression

Introduction to Linear Regression 14. Regression A. Introduction to Simple Linear Regression B. Partitioning Sums of Squares C. Standard Error of the Estimate D. Inferential Statistics for b and r E. Influential Observations F. Regression

More information

MATH 103/GRACEY PRACTICE EXAM/CHAPTERS 2-3. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MATH 103/GRACEY PRACTICE EXAM/CHAPTERS 2-3. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. MATH 3/GRACEY PRACTICE EXAM/CHAPTERS 2-3 Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Provide an appropriate response. 1) The frequency distribution

More information

Dawson College - Fall 2004 Mathematics Department

Dawson College - Fall 2004 Mathematics Department Dawson College - Fall 2004 Mathematics Department Final Examination Statistics (201-257-DW) No. Score Out of 1 8 2 10 3 8 Date: Thursday, December 16, 2004 Time: 9:30 12:30 Instructors: Kourosh A. Zarabi

More information

MULTIPLE REGRESSION EXAMPLE

MULTIPLE REGRESSION EXAMPLE MULTIPLE REGRESSION EXAMPLE For a sample of n = 166 college students, the following variables were measured: Y = height X 1 = mother s height ( momheight ) X 2 = father s height ( dadheight ) X 3 = 1 if

More information

Business Statistics, 9e (Groebner/Shannon/Fry) Chapter 9 Introduction to Hypothesis Testing

Business Statistics, 9e (Groebner/Shannon/Fry) Chapter 9 Introduction to Hypothesis Testing Business Statistics, 9e (Groebner/Shannon/Fry) Chapter 9 Introduction to Hypothesis Testing 1) Hypothesis testing and confidence interval estimation are essentially two totally different statistical procedures

More information

The Math. P (x) = 5! = 1 2 3 4 5 = 120.

The Math. P (x) = 5! = 1 2 3 4 5 = 120. The Math Suppose there are n experiments, and the probability that someone gets the right answer on any given experiment is p. So in the first example above, n = 5 and p = 0.2. Let X be the number of correct

More information

Good luck! BUSINESS STATISTICS FINAL EXAM INSTRUCTIONS. Name:

Good luck! BUSINESS STATISTICS FINAL EXAM INSTRUCTIONS. Name: Glo bal Leadership M BA BUSINESS STATISTICS FINAL EXAM Name: INSTRUCTIONS 1. Do not open this exam until instructed to do so. 2. Be sure to fill in your name before starting the exam. 3. You have two hours

More information

AP STATISTICS REVIEW (YMS Chapters 1-8)

AP STATISTICS REVIEW (YMS Chapters 1-8) AP STATISTICS REVIEW (YMS Chapters 1-8) Exploring Data (Chapter 1) Categorical Data nominal scale, names e.g. male/female or eye color or breeds of dogs Quantitative Data rational scale (can +,,, with

More information

STA 130 (Winter 2016): An Introduction to Statistical Reasoning and Data Science

STA 130 (Winter 2016): An Introduction to Statistical Reasoning and Data Science STA 130 (Winter 2016): An Introduction to Statistical Reasoning and Data Science Mondays 2:10 4:00 (GB 220) and Wednesdays 2:10 4:00 (various) Jeffrey Rosenthal Professor of Statistics, University of Toronto

More information

Simple Regression Theory II 2010 Samuel L. Baker

Simple Regression Theory II 2010 Samuel L. Baker SIMPLE REGRESSION THEORY II 1 Simple Regression Theory II 2010 Samuel L. Baker Assessing how good the regression equation is likely to be Assignment 1A gets into drawing inferences about how close the

More information

STATISTICS 8: CHAPTERS 7 TO 10, SAMPLE MULTIPLE CHOICE QUESTIONS

STATISTICS 8: CHAPTERS 7 TO 10, SAMPLE MULTIPLE CHOICE QUESTIONS STATISTICS 8: CHAPTERS 7 TO 10, SAMPLE MULTIPLE CHOICE QUESTIONS 1. If two events (both with probability greater than 0) are mutually exclusive, then: A. They also must be independent. B. They also could

More information

Univariate Regression

Univariate Regression Univariate Regression Correlation and Regression The regression line summarizes the linear relationship between 2 variables Correlation coefficient, r, measures strength of relationship: the closer r is

More information

AP * Statistics Review. Designing a Study

AP * Statistics Review. Designing a Study AP * Statistics Review Designing a Study Teacher Packet Advanced Placement and AP are registered trademark of the College Entrance Examination Board. The College Board was not involved in the production

More information

6.2 Normal distribution. Standard Normal Distribution:

6.2 Normal distribution. Standard Normal Distribution: 6.2 Normal distribution Slide Heights of Adult Men and Women Slide 2 Area= Mean = µ Standard Deviation = σ Donation: X ~ N(µ,σ 2 ) Standard Normal Distribution: Slide 3 Slide 4 a normal probability distribution

More information

Binomial random variables (Review)

Binomial random variables (Review) Poisson / Empirical Rule Approximations / Hypergeometric Solutions STAT-UB.3 Statistics for Business Control and Regression Models Binomial random variables (Review. Suppose that you are rolling a die

More information

Two-sample hypothesis testing, II 9.07 3/16/2004

Two-sample hypothesis testing, II 9.07 3/16/2004 Two-sample hypothesis testing, II 9.07 3/16/004 Small sample tests for the difference between two independent means For two-sample tests of the difference in mean, things get a little confusing, here,

More information

Answer: C. The strength of a correlation does not change if units change by a linear transformation such as: Fahrenheit = 32 + (5/9) * Centigrade

Answer: C. The strength of a correlation does not change if units change by a linear transformation such as: Fahrenheit = 32 + (5/9) * Centigrade Statistics Quiz Correlation and Regression -- ANSWERS 1. Temperature and air pollution are known to be correlated. We collect data from two laboratories, in Boston and Montreal. Boston makes their measurements

More information

Chapter 4. Probability Distributions

Chapter 4. Probability Distributions Chapter 4 Probability Distributions Lesson 4-1/4-2 Random Variable Probability Distributions This chapter will deal the construction of probability distribution. By combining the methods of descriptive

More information

High School Statistics and Probability Common Core Sample Test Version 2

High School Statistics and Probability Common Core Sample Test Version 2 High School Statistics and Probability Common Core Sample Test Version 2 Our High School Statistics and Probability sample test covers the twenty most common questions that we see targeted for this level.

More information

Thursday, November 13: 6.1 Discrete Random Variables

Thursday, November 13: 6.1 Discrete Random Variables Thursday, November 13: 6.1 Discrete Random Variables Read 347 350 What is a random variable? Give some examples. What is a probability distribution? What is a discrete random variable? Give some examples.

More information

Generalized Linear Models

Generalized Linear Models Generalized Linear Models We have previously worked with regression models where the response variable is quantitative and normally distributed. Now we turn our attention to two types of models where the

More information

BA 275 Review Problems - Week 5 (10/23/06-10/27/06) CD Lessons: 48, 49, 50, 51, 52 Textbook: pp. 380-394

BA 275 Review Problems - Week 5 (10/23/06-10/27/06) CD Lessons: 48, 49, 50, 51, 52 Textbook: pp. 380-394 BA 275 Review Problems - Week 5 (10/23/06-10/27/06) CD Lessons: 48, 49, 50, 51, 52 Textbook: pp. 380-394 1. Does vigorous exercise affect concentration? In general, the time needed for people to complete

More information

Contemporary Mathematics Online Math 1030 Sample Exam I Chapters 12-14 No Time Limit No Scratch Paper Calculator Allowed: Scientific

Contemporary Mathematics Online Math 1030 Sample Exam I Chapters 12-14 No Time Limit No Scratch Paper Calculator Allowed: Scientific Contemporary Mathematics Online Math 1030 Sample Exam I Chapters 12-14 No Time Limit No Scratch Paper Calculator Allowed: Scientific Name: The point value of each problem is in the left-hand margin. You

More information

Elementary Statistics

Elementary Statistics Elementary Statistics Chapter 1 Dr. Ghamsary Page 1 Elementary Statistics M. Ghamsary, Ph.D. Chap 01 1 Elementary Statistics Chapter 1 Dr. Ghamsary Page 2 Statistics: Statistics is the science of collecting,

More information

2. Here is a small part of a data set that describes the fuel economy (in miles per gallon) of 2006 model motor vehicles.

2. Here is a small part of a data set that describes the fuel economy (in miles per gallon) of 2006 model motor vehicles. Math 1530-017 Exam 1 February 19, 2009 Name Student Number E There are five possible responses to each of the following multiple choice questions. There is only on BEST answer. Be sure to read all possible

More information

Simple Predictive Analytics Curtis Seare

Simple Predictive Analytics Curtis Seare Using Excel to Solve Business Problems: Simple Predictive Analytics Curtis Seare Copyright: Vault Analytics July 2010 Contents Section I: Background Information Why use Predictive Analytics? How to use

More information

11. Analysis of Case-control Studies Logistic Regression

11. Analysis of Case-control Studies Logistic Regression Research methods II 113 11. Analysis of Case-control Studies Logistic Regression This chapter builds upon and further develops the concepts and strategies described in Ch.6 of Mother and Child Health:

More information

2 Binomial, Poisson, Normal Distribution

2 Binomial, Poisson, Normal Distribution 2 Binomial, Poisson, Normal Distribution Binomial Distribution ): We are interested in the number of times an event A occurs in n independent trials. In each trial the event A has the same probability

More information

International Statistical Institute, 56th Session, 2007: Phil Everson

International Statistical Institute, 56th Session, 2007: Phil Everson Teaching Regression using American Football Scores Everson, Phil Swarthmore College Department of Mathematics and Statistics 5 College Avenue Swarthmore, PA198, USA E-mail: peverso1@swarthmore.edu 1. Introduction

More information

Problem Solving and Data Analysis

Problem Solving and Data Analysis Chapter 20 Problem Solving and Data Analysis The Problem Solving and Data Analysis section of the SAT Math Test assesses your ability to use your math understanding and skills to solve problems set in

More information

Organizing Your Approach to a Data Analysis

Organizing Your Approach to a Data Analysis Biost/Stat 578 B: Data Analysis Emerson, September 29, 2003 Handout #1 Organizing Your Approach to a Data Analysis The general theme should be to maximize thinking about the data analysis and to minimize

More information

Binomial random variables

Binomial random variables Binomial and Poisson Random Variables Solutions STAT-UB.0103 Statistics for Business Control and Regression Models Binomial random variables 1. A certain coin has a 5% of landing heads, and a 75% chance

More information

BA 275 Review Problems - Week 6 (10/30/06-11/3/06) CD Lessons: 53, 54, 55, 56 Textbook: pp. 394-398, 404-408, 410-420

BA 275 Review Problems - Week 6 (10/30/06-11/3/06) CD Lessons: 53, 54, 55, 56 Textbook: pp. 394-398, 404-408, 410-420 BA 275 Review Problems - Week 6 (10/30/06-11/3/06) CD Lessons: 53, 54, 55, 56 Textbook: pp. 394-398, 404-408, 410-420 1. Which of the following will increase the value of the power in a statistical test

More information

17. SIMPLE LINEAR REGRESSION II

17. SIMPLE LINEAR REGRESSION II 17. SIMPLE LINEAR REGRESSION II The Model In linear regression analysis, we assume that the relationship between X and Y is linear. This does not mean, however, that Y can be perfectly predicted from X.

More information

Introduction to Linear Regression

Introduction to Linear Regression 14. Regression A. Introduction to Simple Linear Regression B. Partitioning Sums of Squares C. Standard Error of the Estimate D. Inferential Statistics for b and r E. Influential Observations F. Regression

More information

Math 425 (Fall 08) Solutions Midterm 2 November 6, 2008

Math 425 (Fall 08) Solutions Midterm 2 November 6, 2008 Math 425 (Fall 8) Solutions Midterm 2 November 6, 28 (5 pts) Compute E[X] and Var[X] for i) X a random variable that takes the values, 2, 3 with probabilities.2,.5,.3; ii) X a random variable with the

More information

Chapter 23 Inferences About Means

Chapter 23 Inferences About Means Chapter 23 Inferences About Means Chapter 23 - Inferences About Means 391 Chapter 23 Solutions to Class Examples 1. See Class Example 1. 2. We want to know if the mean battery lifespan exceeds the 300-minute

More information

Stat 412/512 CASE INFLUENCE STATISTICS. Charlotte Wickham. stat512.cwick.co.nz. Feb 2 2015

Stat 412/512 CASE INFLUENCE STATISTICS. Charlotte Wickham. stat512.cwick.co.nz. Feb 2 2015 Stat 412/512 CASE INFLUENCE STATISTICS Feb 2 2015 Charlotte Wickham stat512.cwick.co.nz Regression in your field See website. You may complete this assignment in pairs. Find a journal article in your field

More information

3.4 Statistical inference for 2 populations based on two samples

3.4 Statistical inference for 2 populations based on two samples 3.4 Statistical inference for 2 populations based on two samples Tests for a difference between two population means The first sample will be denoted as X 1, X 2,..., X m. The second sample will be denoted

More information

Chapter 4 Lecture Notes

Chapter 4 Lecture Notes Chapter 4 Lecture Notes Random Variables October 27, 2015 1 Section 4.1 Random Variables A random variable is typically a real-valued function defined on the sample space of some experiment. For instance,

More information

Density Curve. A density curve is the graph of a continuous probability distribution. It must satisfy the following properties:

Density Curve. A density curve is the graph of a continuous probability distribution. It must satisfy the following properties: Density Curve A density curve is the graph of a continuous probability distribution. It must satisfy the following properties: 1. The total area under the curve must equal 1. 2. Every point on the curve

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. A) ±1.88 B) ±1.645 C) ±1.96 D) ±2.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. A) ±1.88 B) ±1.645 C) ±1.96 D) ±2. Ch. 6 Confidence Intervals 6.1 Confidence Intervals for the Mean (Large Samples) 1 Find a Critical Value 1) Find the critical value zc that corresponds to a 94% confidence level. A) ±1.88 B) ±1.645 C)

More information

Unit 31 A Hypothesis Test about Correlation and Slope in a Simple Linear Regression

Unit 31 A Hypothesis Test about Correlation and Slope in a Simple Linear Regression Unit 31 A Hypothesis Test about Correlation and Slope in a Simple Linear Regression Objectives: To perform a hypothesis test concerning the slope of a least squares line To recognize that testing for a

More information

Recall this chart that showed how most of our course would be organized:

Recall this chart that showed how most of our course would be organized: Chapter 4 One-Way ANOVA Recall this chart that showed how most of our course would be organized: Explanatory Variable(s) Response Variable Methods Categorical Categorical Contingency Tables Categorical

More information

A) 0.1554 B) 0.0557 C) 0.0750 D) 0.0777

A) 0.1554 B) 0.0557 C) 0.0750 D) 0.0777 Math 210 - Exam 4 - Sample Exam 1) What is the p-value for testing H1: µ < 90 if the test statistic is t=-1.592 and n=8? A) 0.1554 B) 0.0557 C) 0.0750 D) 0.0777 2) The owner of a football team claims that

More information

Fairfield Public Schools

Fairfield Public Schools Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity

More information

First Midterm Exam (MATH1070 Spring 2012)

First Midterm Exam (MATH1070 Spring 2012) First Midterm Exam (MATH1070 Spring 2012) Instructions: This is a one hour exam. You can use a notecard. Calculators are allowed, but other electronics are prohibited. 1. [40pts] Multiple Choice Problems

More information

Simple linear regression

Simple linear regression Simple linear regression Introduction Simple linear regression is a statistical method for obtaining a formula to predict values of one variable from another where there is a causal relationship between

More information

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Regular smoker

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Regular smoker Exam Chapters 4&5 Review SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Provide an appropriate response. 1) A 28-year-old man pays $181 for a one-year

More information

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 119 STATISTICS AND ELEMENTARY ALGEBRA 5 Lecture Hours, 2 Lab Hours, 3 Credits Pre-

More information