Instructor: Doug Ensley Course: MAT Applied Statistics  Ensley


 Conrad Ross Cain
 2 years ago
 Views:
Transcription
1 Student: Date: Instructor: Doug Ensley Course: MAT Applied Statistics  Ensley Assignment: Online 15  Sections A survey asked the question "What do you think is the ideal number of children for a family to have?" The 547 females who responded had a median of 2, mean of 3.15, and standard deviation of Answer parts ad. a. What is the point estimate of the population mean? b. Find the standard error of the sample mean. standard error = (Round to three decimal places as needed.) c. The 95% confidence interval is ( 3.01, 3.29). Interpret. A. We can be 95% confident that the proportion of females who want children is between 3.01 and B. Ninetyfive percent of females want between 3.01 and 3.29 children. C. We can be 95% confident that a given female will want between 3.01 and 3.29 children. D. We can be 95% confident that the mean number of children that females would like to have is between 3.01 and d. Is it plausible that the population mean μ = 2? A. Yes, because the median is 2. B. Yes, because 2 falls outside the confidence interval. C. No, because 2 falls outside the confidence interval. D. No, because the sample mean was not 2. ID: of 14
2 2. A survey asked, "During the last year, did anyone take something from you by using force such as a stickup, mugging, or threat?" Of 975 subjects, 18 answered yes and 957 answered no. a. Find the point estimate of the proportion of the population who were victims. b. Find the standard error of this estimate. c. Find the margin of error for a 95% confidence interval. d. Construct the 95% confidence interval for the population proportion. Can you conclude that fewer than 10% of all adults were victims? a. Find the point estimate of the proportion of the population who were victims. p = (Round to five decimal places as needed.) b. Find the standard error of this estimate. se = (Round to five decimal places as needed.) c. Find the margin of error for a 95% confidence interval. (Round to five decimal places as needed.) d. Construct the 95% confidence interval for the population proportion. (, ) (Round to five decimal places as needed.) Can you conclude that fewer than 10% of all adults were victims? A. No, more than 10% of all adults were victims. B. Yes, fewer than 10% of all adults were victims. C. No conclusion can be drawn by using the 95% confidence interval. ID: of 14
3 3. Using a tdistribution table or software or a calculator, report the tstatistic which is multiplied by the standard error to form the margin of error for the following cases. a. 95% confidence interval for a mean with 14 observations. b. 95% confidence interval for a mean with 24 observations. c. 98% confidence interval for a mean with 24 observations. 1 Click the icon to view the tdistribution table. a. t = (Round to three decimal places as needed.) b. t = (Round to three decimal places as needed.) c. t = (Round to three decimal places as needed.) 1: tdistribution table 3 of 14
4 ID: of 14
5 4. Selling prices of a PDA (personal digital assistant) in eighteen randomly chosen stores are shown below These data have x = , s = 20.71, Q1 = 229, Median = 240.5, Q3 = Click the icon to view the tdistribution table. a. What assumptions are needed to construct a 95% confidence interval for μ? A. The data are obtained by randomization, and the population distribution is approximately normal. B. The data are obtained by randomization, and the population distribution is approximately uniform. C. The data are obtained by randomization, and all the data are within two standard deviations of the mean. D. The population distribution is approximately normal, and all the data are within two standard deviations of the mean. Look at the dotplot and determine if the population appears to be normally distributed. The population appears to be normally distributed. The population does not appear to be normally distributed selling price b. Determine the 95% confidence interval for the population mean μ. The lower limit is. The upper limit is. (Round to two decimal places as needed.) Interpret this confidence interval. A. We can be 95% confident that a given selling price will be between $ and $ B. Ninetyfive percent of prices fall between $ and $ C. We can be 95% confident that the mean population price is between $ and $ D. We can be 95% confident that all selling prices are between $ and $ c. Are any of the observations more than 1.5 IQR below Q1 or above Q3? A. Yes, because there are observations below (Q1 1.5 IQR) and above (Q IQR). B. Yes, because there is at least one observation below (Q1 1.5 IQR). C. No, because all observations lie between (Q1 1.5 IQR) and (Q IQR). D. Yes, because there is at least one observation above (Q IQR). Do all observations lie within 3 standard deviations of the mean? No Yes d. The dotplot shows that the $ 176 observation is quite a bit lower than the others. Deleting this observation, find the mean and standard deviation, and construct the 95% confidence interval for μ. x = 5 of 14 s = (Round to two decimal places as needed.) (Round to two decimal places as needed.)
6 Construct the 95% confidence interval for μ. The lower limit is. The upper limit is. (Round to two decimal places as needed.) 2: tdistribtuion table 6 of 14
7 ID: of 14
8 5. A survey asks respondents to rate their political views on a sevenpoint scale, where 1 = extremely liberal, 4 = moderate, and 7 = extremely conservative. Use the output shown below to complete parts a through c. Variable n Mean StDev SE Mean Polviews Click the icon to view the tdistribution table. a. Construct the 95% confidence interval from the other information provided. < μ < (Round to two decimal places as needed.) b. Can it be concluded that the population mean is higher than the moderate score of 4.0? A. Yes, because the lower limit of the confidence interval is greater than 4.0. B. Yes, because the upper limit of the confidence interval is greater than 4.0. C. No, because the lower limit of the confidence interval is greater than 4.0. D. No, because the upper limit of the confidence interval is greater than 4.0. c. (i) Would the confidence interval be wider or narrower if a 99% confidence interval was constructed? Narrower Wider (ii) Would the confidence interval be wider or narrower if n = 500 instead of 1325? Narrower Wider 3: tdistribution table 8 of 14
9 9 of 14
10 ID: Find the margin of error for a 95% confidence interval for estimating the population mean when the sample standard deviation equals 110, with a sample size of (i) 361 and (ii) What is the effect of the sample size? (i) Find the margin of error for a 95% confidence interval for estimating the population mean when the sample standard deviation equals 110 with a sample size of 361. (Round to two decimal places as needed.) (ii) Find the margin of error for a 95% confidence interval for estimating the population mean when the sample standard deviation equals 110 with a sample size of (Round to two decimal places as needed.) What is the effect of the sample size on the margin of error? Choose the correct answer below. A. The margin of error is the same for all sample sizes. B. The larger sample size increases the margin of error. C. The larger sample size decreases the margin of error. D. There is no correlation between the sample size and the margin of error. ID: of 14
11 7. Researchers are interested in the effect of a certain nutrient on the growth rate of plant seedlings. Using a hydroponics grow procedure that utilized water containing the nutrient, they planted six tomato plants and recorded the heights of each plant 14 days after germination. Those heights, measured in millimeters, were 54.4, 60.9, 60.8, 62.2, 65.6, and Complete parts a through d below. a. Using technology, find the 95% confidence interval for the population mean μ. (, ) (Round to one decimal place as needed.) b. Name two things you could do to get a narrower interval than the one in part a. Choose the correct choice below. A. Decrease the confidence level or increase the sample size. B. Decrease the confidence level or decrease the sample size. C. Increase the confidence level or decrease the sample size. D. Increase the confidence level or increase the sample size. c. Using technology, construct a 99% confidence interval. (, ) (Round to one decimal place as needed.) Why is the 99% confidence interval wider than the 95% interval? A. The tdistribution critical value is smaller with a higher confidence level. B. The standard deviation is smaller for a higher confidence level. C. The tdistribution critical value is larger with a higher confidence level. D. None of the above statements are correct. d. On what assumptions is the interval in part a based? A. The data are obtained by randomization and the population distribution is approximately normal. B. The data are obtained by randomization and the population distribution is approximately uniform. C. The population distribution is approximately normal and all the data are within two standard deviations of the mean. D. The data are obtained by randomization and all the data are within two standard deviations of the mean. ID: T 11 of 14
12 8. For a certain survey, software reports the results shown below for responses on the number of times a week the subject reads a newspaper. Complete parts a through d. Variable N Mean Std Dev SE Mean 95.0% CI News ( 3.531, 5.069) a. Is it plausible that μ = 7, where μ is the population mean for all respondents? Explain. A. Yes, because 7 is within the 95% confidence interval given in the software results. B. No, because 7 is well outside the 95% confidence interval given in the software results. C. No, because 7 is within the 95% confidence interval given in the software results. D. Yes, because 7 is well outside the 95% confidence interval given in the software results. b. Suppose that the sample size had been 240, with x = 4.3 and s = 3.1. Use technology to find a 95% confidence interval. Describe the effect of sample size on the margin of error. The 95% confidence interval is (, ). (Round to one decimal place as needed.) Compare the confidence interval found in the previous step to the one reported. What effect does sample size have on the margin of error? A. As sample size increases, the margin of error does not change. B. As sample size increases, the margin of error becomes smaller. C. As sample size increases, the margin of error becomes larger. c. Does it seem plausible that the population distribution of this variable is normal? Why? A. No, because there will be many students who do not read a newspaper but some students who read at least one newspaper every day. The distribution is likely to be skewed right. B. No, because there will be a few students who do not read a newspaper, many students who occasionally read a newspaper, and a few students who read at least one newspaper every day. The distribution is not likely to be normal. C. No, because there will be a few students who do not read a newspaper but many students who read at least one newspaper every day. The distribution is likely to be skewed left. D. Yes, because there will be a few students who do not read a newspaper, many students who occasionally read a newspaper, and a few students who read at least one newspaper every day. The distribution is likely to be normal. d. Explain the implications of the term "robust" regarding the normality assumption made to conduct this analysis. Choose the correct answer below. A. The term "robust" means that even if the normality assumption is not completely met, this analysis is still likely to produce valid results. B. The term "robust" means that even if the normality assumption is completely met, this analysis is not likely to produce valid results. C. The term "robust" means that if the normality assumption is not completely met, this analysis is likely to produce invalid results. ID: T 12 of 14
13 D. We can be 95% confident that the mean number of children that females would like to have is between 3.01 and C. No, because 2 falls outside the confidence interval B. Yes, fewer than 10% of all adults were victims A. The data are obtained by randomization, and the population distribution is approximately normal. The population does not appear to be normally distributed C. We can be 95% confident that the mean population price is between $ and $ B. Yes, because there is at least one observation below (Q1 1.5 IQR). Yes A. Yes, because the lower limit of the confidence interval is greater than 4.0. Wider Wider of
14 C. The larger sample size decreases the margin of error A. Decrease the confidence level or increase the sample size C. The tdistribution critical value is larger with a higher confidence level. A. The data are obtained by randomization and the population distribution is approximately normal. 8. B. No, because 7 is well outside the 95% confidence interval given in the software results B. As sample size increases, the margin of error becomes smaller. A. No, because there will be many students who do not read a newspaper but some students who read at least one newspaper every day. The distribution is likely to be skewed right. A. The term "robust" means that even if the normality assumption is not completely met, this analysis is still likely to produce valid results. 14 of 14
Study Ch. 3.5, # 195, 207, 209
GOALS: 1. Understand difference between a population and sample. 2. Compute means and standard deviations for both populations and samples. Study Ch. 3.5, # 195, 207, 209 : Prof. G. Battaly, Westchester
More informationChapter 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 informationPoint and Interval Estimates
Point and Interval Estimates Suppose we want to estimate a parameter, such as p or µ, based on a finite sample of data. There are two main methods: 1. Point estimate: Summarize the sample by a single number
More informationLesson 17: Margin of Error When Estimating a Population Proportion
Margin of Error When Estimating a Population Proportion Classwork In this lesson, you will find and interpret the standard deviation of a simulated distribution for a sample proportion and use this information
More informationAn interval estimate (confidence interval) is an interval, or range of values, used to estimate a population parameter. For example 0.476<p<0.
Lecture #7 Chapter 7: Estimates and sample sizes In this chapter, we will learn an important technique of statistical inference to use sample statistics to estimate the value of an unknown population parameter.
More informationStatistical Inference
Statistical Inference Idea: Estimate parameters of the population distribution using data. How: Use the sampling distribution of sample statistics and methods based on what would happen if we used this
More informationConstruct a scatterplot for the given data. 2) x Answer:
Review for Test 5 STA 2023 spr 2014 Name Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents
More informationStats for Strategy Exam 1 InClass Practice Questions DIRECTIONS
Stats for Strategy Exam 1 InClass Practice Questions DIRECTIONS Choose the single best answer for each question. Discuss questions with classmates, TAs and Professor Whitten. Raise your hand to check
More informationConfidence Intervals for One Standard Deviation Using Standard Deviation
Chapter 640 Confidence Intervals for One Standard Deviation Using Standard Deviation Introduction This routine calculates the sample size necessary to achieve a specified interval width or distance from
More informationUCLA STAT 13 Statistical Methods  Final Exam Review Solutions Chapter 7 Sampling Distributions of Estimates
UCLA STAT 13 Statistical Methods  Final Exam Review Solutions Chapter 7 Sampling Distributions of Estimates 1. (a) (i) µ µ (ii) σ σ n is exactly Normally distributed. (c) (i) is approximately Normally
More informationName: Date: Use the following to answer questions 34:
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 information1 of 6 9/30/15, 4:49 PM
Student: Date: Instructor: Doug Ensley Course: MAT117 01 Applied Statistics  Ensley Assignment: Online 09  Section 6.2 1. In January 2011, the average monthly rental rate for onebedroom apartments in
More informationInferences About Differences Between Means Edpsy 580
Inferences About Differences Between Means Edpsy 580 Carolyn J. Anderson Department of Educational Psychology University of Illinois at UrbanaChampaign Inferences About Differences Between Means Slide
More informationConfidence Intervals for Coefficient Alpha
Chapter 818 Confidence Intervals for Coefficient Alpha Introduction Coefficient alpha, or Cronbach s alpha, is a measure of the reliability of a test consisting of k parts. The k parts usually represent
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the mean for the given sample data. 1) Bill kept track of the number of hours he spent
More informationCALCULATIONS & STATISTICS
CALCULATIONS & STATISTICS CALCULATION OF SCORES Conversion of 15 scale to 0100 scores When you look at your report, you will notice that the scores are reported on a 0100 scale, even though respondents
More informationMargin of Error When Estimating a Population Proportion
Margin of Error When Estimating a Population Proportion Student Outcomes Students use data from a random sample to estimate a population proportion. Students calculate and interpret margin of error in
More informationConfidence Intervals for the Difference Between Two Means
Chapter 47 Confidence Intervals for the Difference Between Two Means Introduction This procedure calculates the sample size necessary to achieve a specified distance from the difference in sample means
More informationStatistical Inference and ttests
1 Statistical Inference and ttests Objectives Evaluate the difference between a sample mean and a target value using a onesample ttest. Evaluate the difference between a sample mean and a target value
More informationConfidence Intervals for Cpk
Chapter 297 Confidence Intervals for Cpk Introduction This routine calculates the sample size needed to obtain a specified width of a Cpk confidence interval at a stated confidence level. Cpk is a process
More informationInferential Statistics
Inferential Statistics Sampling and the normal distribution Zscores Confidence levels and intervals Hypothesis testing Commonly used statistical methods Inferential Statistics Descriptive statistics are
More informationAP * Statistics Review
AP * Statistics Review Confidence Intervals Teacher Packet AP* is a trademark of the College Entrance Examination Board. The College Entrance Examination Board was not involved in the production of this
More informationEXAM #1 (Example) Instructor: Ela Jackiewicz. Relax and good luck!
STP 231 EXAM #1 (Example) Instructor: Ela Jackiewicz Honor Statement: I have neither given nor received information regarding this exam, and I will not do so until all exams have been graded and returned.
More informationAP Statistics 2002 Scoring Guidelines
AP Statistics 2002 Scoring Guidelines The materials included in these files are intended for use by AP teachers for course and exam preparation in the classroom; permission for any other use must be sought
More informationConfidence level. Most common choices are 90%, 95%, or 99%. (α = 10%), (α = 5%), (α = 1%)
Confidence Interval A confidence interval (or interval estimate) is a range (or an interval) of values used to estimate the true value of a population parameter. A confidence interval is sometimes abbreviated
More informationSuppose we want to compare the average effectiveness of two treatments in a completely randomized experiment. In this case, the parameters µ 1
AP Statistics: 10.2: Comparing Two Means Name: Suppose we want to compare the average effectiveness of two treatments in a completely randomized experiment. In this case, the parameters µ 1 and µ 2 are
More information1) What is the probability that the random variable has a value greater than 2? A) 0.750 B) 0.625 C) 0.875 D) 0.700
Practice for Chapter 6 & 7 Math 227 This is merely an aid to help you study. The actual exam is not multiple choice nor is it limited to these types of questions. Using the following uniform density curve,
More informationConfidence Intervals for Cp
Chapter 296 Confidence Intervals for Cp Introduction This routine calculates the sample size needed to obtain a specified width of a Cp confidence interval at a stated confidence level. Cp is a process
More informationMath 201: Statistics November 30, 2006
Math 201: Statistics November 30, 2006 Fall 2006 MidTerm #2 Closed book & notes; only an A4size formula sheet and a calculator allowed; 90 mins. No questions accepted! Instructions: There are eleven pages
More informationGood 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 informationHypoTesting. Name: Class: Date: Multiple Choice Identify the choice that best completes the statement or answers the question.
Name: Class: Date: HypoTesting Multiple Choice Identify the choice that best completes the statement or answers the question. 1. A Type II error is committed if we make: a. a correct decision when the
More information4. Introduction to Statistics
Statistics for Engineers 41 4. Introduction to Statistics Descriptive Statistics Types of data A variate or random variable is a quantity or attribute whose value may vary from one unit of investigation
More information6.4 Normal Distribution
Contents 6.4 Normal Distribution....................... 381 6.4.1 Characteristics of the Normal Distribution....... 381 6.4.2 The Standardized Normal Distribution......... 385 6.4.3 Meaning of Areas under
More informationStats Review Chapters 34
Stats Review Chapters 34 Created by Teri Johnson Math Coordinator, Mary Stangler Center for Academic Success Examples are taken from Statistics 4 E by Michael Sullivan, III And the corresponding Test
More informationObjectives. 6.1, 7.1 Estimating with confidence (CIS: Chapter 10) CI)
Objectives 6.1, 7.1 Estimating with confidence (CIS: Chapter 10) Statistical confidence (CIS gives a good explanation of a 95% CI) Confidence intervals. Further reading http://onlinestatbook.com/2/estimation/confidence.html
More informationReview. March 21, 2011. 155S7.1 2_3 Estimating a Population Proportion. Chapter 7 Estimates and Sample Sizes. Test 2 (Chapters 4, 5, & 6) Results
MAT 155 Statistical Analysis Dr. Claude Moore Cape Fear Community College Chapter 7 Estimates and Sample Sizes 7 1 Review and Preview 7 2 Estimating a Population Proportion 7 3 Estimating a Population
More informationHYPOTHESIS TESTING: CONFIDENCE INTERVALS, TTESTS, ANOVAS, AND REGRESSION
HYPOTHESIS TESTING: CONFIDENCE INTERVALS, TTESTS, ANOVAS, AND REGRESSION HOD 2990 10 November 2010 Lecture Background This is a lightning speed summary of introductory statistical methods for senior undergraduate
More informationDensity 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 informationDescriptive Statistics
Descriptive Statistics Primer Descriptive statistics Central tendency Variation Relative position Relationships Calculating descriptive statistics Descriptive Statistics Purpose to describe or summarize
More informationProb & Stats. Chapter 9 Review
Chapter 9 Review Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally
More informationWeek 4: Standard Error and Confidence Intervals
Health Sciences M.Sc. Programme Applied Biostatistics Week 4: Standard Error and Confidence Intervals Sampling Most research data come from subjects we think of as samples drawn from a larger population.
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
STATISTICS/GRACEY EXAM 3 PRACTICE/CH. 89 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the Pvalue for the indicated hypothesis test. 1) A
More informationAP Statistics 2001 Solutions and Scoring Guidelines
AP Statistics 2001 Solutions and Scoring Guidelines The materials included in these files are intended for noncommercial use by AP teachers for course and exam preparation; permission for any other use
More informationOnline 12  Sections 9.1 and 9.2Doug Ensley
Student: Date: Instructor: Doug Ensley Course: MAT117 01 Applied Statistics  Ensley Assignment: Online 12  Sections 9.1 and 9.2 1. Does a Pvalue of 0.001 give strong evidence or not especially strong
More informationCollege of the Canyons Math 140 Exam 1 Amy Morrow. Name:
Name: Answer the following questions NEATLY. Show all necessary work directly on the exam. Scratch paper will be discarded unread. One point each part unless otherwise marked. 1. Owners of an exercise
More informationComparing Means in Two Populations
Comparing Means in Two Populations Overview The previous section discussed hypothesis testing when sampling from a single population (either a single mean or two means from the same population). Now we
More informationSTATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS
STATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS Correct answers are in bold italics.. This scenario applies to Questions 1 and 2: A study was done to compare the lung capacity of coal miners
More informationMULTIPLE 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 informationNeed for Sampling. Very large populations Destructive testing Continuous production process
Chapter 4 Sampling and Estimation Need for Sampling Very large populations Destructive testing Continuous production process The objective of sampling is to draw a valid inference about a population. 4
More informationPremaster Statistics Tutorial 4 Full solutions
Premaster Statistics Tutorial 4 Full solutions Regression analysis Q1 (based on Doane & Seward, 4/E, 12.7) a. Interpret the slope of the fitted regression = 125,000 + 150. b. What is the prediction for
More informationC. The null hypothesis is not rejected when the alternative hypothesis is true. A. population parameters.
Sample Multiple Choice Questions for the material since Midterm 2. Sample questions from Midterms and 2 are also representative of questions that may appear on the final exam.. A randomly selected sample
More information4. Continuous Random Variables, the Pareto and Normal Distributions
4. Continuous Random Variables, the Pareto and Normal Distributions A continuous random variable X can take any value in a given range (e.g. height, weight, age). The distribution of a continuous random
More informationStats for Strategy Fall 2012 FirstDiscussion Handout: Stats Using Calculators and MINITAB
Stats for Strategy Fall 2012 FirstDiscussion Handout: Stats Using Calculators and MINITAB DIRECTIONS: Welcome! Your TA will help you apply your Calculator and MINITAB to review Business Stats, and will
More informationMath 140 (4,5,6) Sample Exam II Fall 2011
Math 140 (4,5,6) Sample Exam II Fall 2011 Provide an appropriate response. 1) In a sample of 10 randomly selected employees, it was found that their mean height was 63.4 inches. From previous studies,
More informationGeneral Method: Difference of Means. 3. Calculate df: either WelchSatterthwaite formula or simpler df = min(n 1, n 2 ) 1.
General Method: Difference of Means 1. Calculate x 1, x 2, SE 1, SE 2. 2. Combined SE = SE1 2 + SE2 2. ASSUMES INDEPENDENT SAMPLES. 3. Calculate df: either WelchSatterthwaite formula or simpler df = min(n
More informationCents and the Central Limit Theorem Overview of Lesson GAISE Components Common Core State Standards for Mathematical Practice
Cents and the Central Limit Theorem Overview of Lesson In this lesson, students conduct a handson demonstration of the Central Limit Theorem. They construct a distribution of a population and then construct
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Sample Final Exam Spring 2008 DeMaio Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Use the given degree of confidence and sample data to construct
More informationAdverse Impact Ratio for Females (0/ 1) = 0 (5/ 17) = 0.2941 Adverse impact as defined by the 4/5ths rule was not found in the above data.
1 of 9 12/8/2014 12:57 PM (an OnLine Internet based application) Instructions: Please fill out the information into the form below. Once you have entered your data below, you may select the types of analysis
More informationSimple 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 informationChapter Study Guide. Chapter 11 Confidence Intervals and Hypothesis Testing for Means
OPRE504 Chapter Study Guide Chapter 11 Confidence Intervals and Hypothesis Testing for Means I. Calculate Probability for A Sample Mean When Population σ Is Known 1. First of all, we need to find out the
More informationStatistics 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 informationChapter 7 Review. Confidence Intervals. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Chapter 7 Review Confidence Intervals MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) Suppose that you wish to obtain a confidence interval for
More informationAP Statistics 2012 Scoring Guidelines
AP Statistics 2012 Scoring Guidelines The College Board The College Board is a missiondriven notforprofit organization that connects students to college success and opportunity. Founded in 1900, the
More informationHypothesis Testing. Bluman Chapter 8
CHAPTER 8 Learning Objectives C H A P T E R E I G H T Hypothesis Testing 1 Outline 81 Steps in Traditional Method 82 z Test for a Mean 83 t Test for a Mean 84 z Test for a Proportion 85 2 Test for
More informationAP Statistics 2005 Scoring Guidelines
AP Statistics 2005 Scoring Guidelines The College Board: Connecting Students to College Success The College Board is a notforprofit membership association whose mission is to connect students to college
More informationGraphical and Tabular. Summarization of Data OPRE 6301
Graphical and Tabular Summarization of Data OPRE 6301 Introduction and Recap... Descriptive statistics involves arranging, summarizing, and presenting a set of data in such a way that useful information
More informationPractice Exam. 1. What is the median of this data? A) 64 B) 63.5 C) 67.5 D) 59 E) 35
Practice Exam Use the following to answer questions 12: A census is done in a given region. Following are the populations of the towns in that particular region (in thousands): 35, 46, 52, 63, 64, 71,
More informationMINITAB ASSISTANT WHITE PAPER
MINITAB ASSISTANT WHITE PAPER This paper explains the research conducted by Minitab statisticians to develop the methods and data checks used in the Assistant in Minitab 17 Statistical Software. OneWay
More informationVariables. Exploratory Data Analysis
Exploratory Data Analysis Exploratory Data Analysis involves both graphical displays of data and numerical summaries of data. A common situation is for a data set to be represented as a matrix. There is
More informationPsychTests.com advancing psychology and technology
PsychTests.com advancing psychology and technology tel 514.745.8272 fax 514.745.6242 CP Normandie PO Box 26067 l Montreal, Quebec l H3M 3E8 contact@psychtests.com Psychometric Report Resilience Test Description:
More informationWhen σ Is Known: Recall the Mystery Mean Activity where x bar = 240.79 and we have an SRS of size 16
8.3 ESTIMATING A POPULATION MEAN When σ Is Known: Recall the Mystery Mean Activity where x bar = 240.79 and we have an SRS of size 16 Task was to estimate the mean when we know that the situation is Normal
More informationPower and Sample Size Determination
Power and Sample Size Determination Bret Hanlon and Bret Larget Department of Statistics University of Wisconsin Madison November 3 8, 2011 Power 1 / 31 Experimental Design To this point in the semester,
More informationCC Investigation 5: Histograms and Box Plots
Content Standards 6.SP.4, 6.SP.5.c CC Investigation 5: Histograms and Box Plots At a Glance PACING 3 days Mathematical Goals DOMAIN: Statistics and Probability Display numerical data in histograms and
More informationSTATISTICS 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 informationAP Statistics 2011 Scoring Guidelines
AP Statistics 2011 Scoring Guidelines The College Board The College Board is a notforprofit membership association whose mission is to connect students to college success and opportunity. Founded in
More informationSHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
Math 1342 (Elementary Statistics) Test 2 Review SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Find the indicated probability. 1) If you flip a coin
More informationSTAT 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 informationChapter 3 Descriptive Statistics: Numerical Measures. Learning objectives
Chapter 3 Descriptive Statistics: Numerical Measures Slide 1 Learning objectives 1. Single variable Part I (Basic) 1.1. How to calculate and use the measures of location 1.. How to calculate and use the
More informationStatistics 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 informationConstructing and Interpreting Confidence Intervals
Constructing and Interpreting Confidence Intervals Confidence Intervals In this power point, you will learn: Why confidence intervals are important in evaluation research How to interpret a confidence
More informationA) 0.1554 B) 0.0557 C) 0.0750 D) 0.0777
Math 210  Exam 4  Sample Exam 1) What is the pvalue 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 informationStandard Deviation Calculator
CSS.com Chapter 35 Standard Deviation Calculator Introduction The is a tool to calculate the standard deviation from the data, the standard error, the range, percentiles, the COV, confidence limits, or
More informationp1^ = 0.18 p2^ = 0.12 A) 0.150 B) 0.387 C) 0.300 D) 0.188 3) n 1 = 570 n 2 = 1992 x 1 = 143 x 2 = 550 A) 0.270 B) 0.541 C) 0.520 D) 0.
Practice for chapter 9 and 10 Disclaimer: the actual exam does not mirror this. This is meant for practicing questions only. The actual exam in not multiple choice. Find the number of successes x suggested
More informationPRACTICE PROBLEMS FOR BIOSTATISTICS
PRACTICE PROBLEMS FOR BIOSTATISTICS BIOSTATISTICS DESCRIBING DATA, THE NORMAL DISTRIBUTION 1. The duration of time from first exposure to HIV infection to AIDS diagnosis is called the incubation period.
More informationComplement: 0.4 x 0.8 = =.6
Homework Chapter 5 Name: 1. Use the graph below 1 a) Why is the total area under this curve equal to 1? Rectangle; A = LW A = 1(1) = 1 b) What percent of the observations lie above 0.8? 1 .8 =.2; A =
More informationDescriptive Statistics
Descriptive Statistics Suppose following data have been collected (heights of 99 fiveyearold boys) 117.9 11.2 112.9 115.9 18. 14.6 17.1 117.9 111.8 16.3 111. 1.4 112.1 19.2 11. 15.4 99.4 11.1 13.3 16.9
More informationStat 411/511 THE RANDOMIZATION TEST. Charlotte Wickham. stat511.cwick.co.nz. Oct 16 2015
Stat 411/511 THE RANDOMIZATION TEST Oct 16 2015 Charlotte Wickham stat511.cwick.co.nz Today Review randomization model Conduct randomization test What about CIs? Using a tdistribution as an approximation
More informationManual. How large a Sample do we need SRS STRAT.xls. Guido Lüchters September 2006
Manual How large a Sample do we need SRS STRAT.xls Guido Lüchters September 2006 File: How large a Sample do we need SRS STRAT.doc Last save: Friday, 8. September 2006 How large a Sample do we need SRS
More informationHow Far is too Far? Statistical Outlier Detection
How Far is too Far? Statistical Outlier Detection Steven Walfish President, Statistical Outsourcing Services steven@statisticaloutsourcingservices.com 30325329 Outline What is an Outlier, and Why are
More informationPrediction and Confidence Intervals in Regression
Fall Semester, 2001 Statistics 621 Lecture 3 Robert Stine 1 Prediction and Confidence Intervals in Regression Preliminaries Teaching assistants See them in Room 3009 SHDH. Hours are detailed in the syllabus.
More informationDef: The standard normal distribution is a normal probability distribution that has a mean of 0 and a standard deviation of 1.
Lecture 6: Chapter 6: Normal Probability Distributions A normal distribution is a continuous probability distribution for a random variable x. The graph of a normal distribution is called the normal curve.
More informationSolutions to Homework 3 Statistics 302 Professor Larget
s to Homework 3 Statistics 302 Professor Larget Textbook Exercises 3.20 Customized Home Pages A random sample of n = 1675 Internet users in the US in January 2010 found that 469 of them have customized
More informationProbability Distributions
CHAPTER 5 Probability Distributions CHAPTER OUTLINE 5.1 Probability Distribution of a Discrete Random Variable 5.2 Mean and Standard Deviation of a Probability Distribution 5.3 The Binomial Distribution
More information1. 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 1propZint 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 informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question
Stats: Test Review Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question Provide an appropriate response. ) Given H0: p 0% and Ha: p < 0%, determine
More information5.1 Identifying the Target Parameter
University of California, Davis Department of Statistics Summer Session II Statistics 13 August 20, 2012 Date of latest update: August 20 Lecture 5: Estimation with Confidence intervals 5.1 Identifying
More informationNCSS Statistical Software
Chapter 06 Introduction This procedure provides several reports for the comparison of two distributions, including confidence intervals for the difference in means, twosample ttests, the ztest, the
More informationLecture 28: Chapter 11, Section 1 Categorical & Quantitative Variable Inference in Paired Design
Lecture 28: Chapter 11, Section 1 Categorical & Quantitative Variable Inference in Paired Design Inference for Relationships: 2 Approaches CatQuan Relationship: 3 Designs Inference for Paired Design Paired
More informationStudy Guide for the Final Exam
Study Guide for the Final Exam When studying, remember that the computational portion of the exam will only involve new material (covered after the second midterm), that material from Exam 1 will make
More informationMind on Statistics. Chapter 13
Mind on Statistics Chapter 13 Sections 13.113.2 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