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



Similar documents
Practice#1(chapter1,2) Name

Classify the data as either discrete or continuous. 2) An athlete runs 100 meters in 10.5 seconds. 2) A) Discrete B) Continuous

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

Chapter 1: Exploring Data

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

Mind on Statistics. Chapter 2

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

STA-201-TE. 5. Measures of relationship: correlation (5%) Correlation coefficient; Pearson r; correlation and causation; proportion of common variance

Lecture 2: Descriptive Statistics and Exploratory Data Analysis

Statistics I for QBIC. Contents and Objectives. Chapters 1 7. Revised: August 2013

Topic 9 ~ Measures of Spread

The Big Picture. Describing Data: Categorical and Quantitative Variables Population. Descriptive Statistics. Community Coalitions (n = 175)

Ch. 3.1 # 3, 4, 7, 30, 31, 32

Introduction to Statistics for Psychology. Quantitative Methods for Human Sciences

Statistics 100 Sample Final Questions (Note: These are mostly multiple choice, for extra practice. Your Final Exam will NOT have any multiple choice!

DESCRIPTIVE STATISTICS. The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses.

Midterm Review Problems

MBA 611 STATISTICS AND QUANTITATIVE METHODS

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

A Correlation of. to the. South Carolina Data Analysis and Probability Standards

STATS8: Introduction to Biostatistics. Data Exploration. Babak Shahbaba Department of Statistics, UCI

Descriptive Statistics and Measurement Scales

consider the number of math classes taken by math 150 students. how can we represent the results in one number?

Foundation of Quantitative Data Analysis

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

Descriptive statistics parameters: Measures of centrality

6. Decide which method of data collection you would use to collect data for the study (observational study, experiment, simulation, or survey):

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

Summarizing and Displaying Categorical Data

Chapter 1: The Nature of Probability and Statistics

The right edge of the box is the third quartile, Q 3, which is the median of the data values above the median. Maximum Median

Descriptive statistics Statistical inference statistical inference, statistical induction and inferential statistics

1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number

Week 3&4: Z tables and the Sampling Distribution of X

DESCRIPTIVE STATISTICS - CHAPTERS 1 & 2 1

1.3 Measuring Center & Spread, The Five Number Summary & Boxplots. Describing Quantitative Data with Numbers

Descriptive Statistics

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. A) B) C) D) 0.

Chapter 1: Looking at Data Section 1.1: Displaying Distributions with Graphs

Week 1. Exploratory Data Analysis

5/31/ Normal Distributions. Normal Distributions. Chapter 6. Distribution. The Normal Distribution. Outline. Objectives.

MEASURES OF VARIATION

Center: Finding the Median. Median. Spread: Home on the Range. Center: Finding the Median (cont.)

Why Taking This Course? Course Introduction, Descriptive Statistics and Data Visualization. Learning Goals. GENOME 560, Spring 2012

Statistics E100 Fall 2013 Practice Midterm I - A Solutions

MTH 140 Statistics Videos

AP * Statistics Review. Descriptive Statistics

Exploratory data analysis (Chapter 2) Fall 2011

4.1 Exploratory Analysis: Once the data is collected and entered, the first question is: "What do the data look like?"

How To Write A Data Analysis

Lesson 4 Measures of Central Tendency

Shape of Data Distributions

Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.

Exploratory Data Analysis. Psychology 3256

Mind on Statistics. Chapter 4

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

Box-and-Whisker Plots

Def: The standard normal distribution is a normal probability distribution that has a mean of 0 and a standard deviation of 1.

Lecture 1: Review and Exploratory Data Analysis (EDA)

Study Guide for the Final Exam

Chapter 7 Review. Confidence Intervals. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

430 Statistics and Financial Mathematics for Business

SAMPLING DISTRIBUTIONS

Northumberland Knowledge

Course Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics

Determine whether the data are qualitative or quantitative. 8) the colors of automobiles on a used car lot Answer: qualitative

DATA ANALYSIS. QEM Network HBCU-UP Fundamentals of Education Research Workshop Gerunda B. Hughes, Ph.D. Howard University

BNG 202 Biomechanics Lab. Descriptive statistics and probability distributions I

Descriptive Statistics. Purpose of descriptive statistics Frequency distributions Measures of central tendency Measures of dispersion

Using SPSS, Chapter 2: Descriptive Statistics

Practice Problems and Exams

Normal Distribution Lecture Notes

AP STATISTICS REVIEW (YMS Chapters 1-8)

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?

Descriptive Statistics

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

Exercise 1.12 (Pg )

Statistics 2014 Scoring Guidelines

3: Summary Statistics

II. DISTRIBUTIONS distribution normal distribution. standard scores

AP Statistics Solutions to Packet 2

Characteristics of Binomial Distributions

Chapter 4. Probability and Probability Distributions

Variables. Exploratory Data Analysis

Elementary Statistics

Probability and Statistics Vocabulary List (Definitions for Middle School Teachers)

2) The three categories of forecasting models are time series, quantitative, and qualitative. 2)

Fairfield Public Schools

DESCRIPTIVE STATISTICS AND EXPLORATORY DATA ANALYSIS

Descriptive Statistics

HISTOGRAMS, CUMULATIVE FREQUENCY AND BOX PLOTS

Course Syllabus MATH 110 Introduction to Statistics 3 credits

Describing, Exploring, and Comparing Data

Describing Data: Measures of Central Tendency and Dispersion

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

z-scores AND THE NORMAL CURVE MODEL

Intro to Statistics 8 Curriculum

THE BINOMIAL DISTRIBUTION & PROBABILITY

Mind on Statistics. Chapter 8

The Normal Distribution

Transcription:

Exam Name 1) A recent report stated ʺBased on a sample of 90 truck drivers, there is evidence to indicate that, on average, independent truck drivers earn more than company -hired truck drivers.ʺ Does this statement describe descriptive or inferential statistics? A) inferential statistics B) descriptive statistics 1) 2) A survey of high school teenagers reported that 90% of those sampled are interested in pursuing a college education. Does this statement describe descriptive or inferential statistics? A) inferential statistics B) descriptive statistics 2) 3) In a survey of 5000 high school students, 27% of those surveyed read at least one best-seller each month. Give an example of a descriptive statement and an inferential statement that could be made based on this information. 3) Answer the question True or False. 4) When we take data obtained from a sample and make generalizations or predictions about the entire population, we are utilizing inferential statistics. 4) 5) Statistics involves two different processes, describing sets of data and drawing conclusions about the sets of data on the basis of sampling. 5) 6) The amount of television viewed by todayʹs youth is of primary concern to Parents Against Watching Television (PAWT). 250 parents of elementary school-aged children were asked to estimate the number of hours per week that their child watches television. Identify the type of data collected by PAWT. A) qualitative B) quantitative 6) 7) Which data about paintings would not be qualitative? A) the artist B) the style C) the value D) the theme 7) 8) The data show the total number of medals (gold, silver, and bronze) won by each country winning at least one gold medal in the 2006 Winter Olympics. Find the mean, median, and mode of the numbers of medals won by these countries. 8) 1 2 3 3 4 9 9 11 11 11 14 14 19 22 23 24 25 29 1

9) 9) For the distribution drawn here, identify the mean, median, and mode. A) A = median, B = mode, C = mean B) A = mode, B = mean, C = median C) A = mode, B = median, C = mean D) A = mean, B = mode, C = median 10) The distribution of salaries of professional basketball players is skewed to the right. Which measure of central tendency would be the best measure to determine the location of the center of the distribution? A) mean B) range C) mode D) median 10) Answer the question True or False. 11) The mean and the median are useful measures of central tendency for both qualitative and quantitative data. 11) 12) In a symmetric and mound shaped distribution, we expect the values of the mean, median, and mode to differ greatly from one another. 12) 13) In symmetric distributions, the mean and the median will be approximately equal. 13) 14) In skewed distributions, the mean is the best measure of the center of the distribution since it is least affected by extreme observations. 14) 15) The ages of five randomly chosen professors are 63, 42, 69, 66, and 41. Calculate the sample variance of these ages. 15) 2

16) A sociologist recently conducted a survey of citizens over 60 years of age who have net worths too high to qualify for Medicaid but have no private health insurance. The ages of the 25 uninsured senior citizens were as follows: 16) 68 73 66 76 86 74 61 89 65 90 69 92 76 62 81 63 68 81 70 73 60 87 75 64 82 Suppose the mean and standard deviation are 74.04 and 9.75, respectively. If we assume that the distribution of ages is mound-shaped and symmetric, what percentage of the respondents will be between 64.29 and 93.54 years old? A) approximately 95% B) approximately 84% C) approximately 81.5% D) approximately 68% 17) The distribution of scores on a test is mound-shaped and symmetric with a mean score of 78. If 68% of the scores fall between 72 and 84, which of the following is most likely to be the standard deviation of the distribution? A) 2 B) 3 C) 12 D) 6 17) 18) Which of the following is a measure of relative standing? A) z-score B) pie chart C) variance D) mean 18) 19) Test scores for a history class had a mean of 79 with a standard deviation of 4.5. Test scores for a physics class had a mean of 69 with a standard deviation of 3.7. One student earned a 82 on the history test and a 84 on the physics test. Calculate the z-score for each test. On which test did the student perform better? 19) 20) The z-score for a value x is -2.5. State whether the value of x lies above or below the mean and by how many standard deviations. 20) 21) The speeds of the fastballs thrown by major league baseball pitchers were measured by radar gun. The mean speed was 88 miles per hour. The standard deviation of the speeds was 6 mph. Which of the following speeds would be classified as an outlier? A) 76 mph B) 97 mph C) 107 mph D) 82 mph 21) 22) Which of the following statements concerning the box plot and z-score methods for detecting outliers is false? A) The z-score method uses the mean and standard deviation as a basis for detecting outliers. B) The box plot method is less affected by an extreme observation in the data set. C) The box plot method uses the quartiles as a basis for detecting outliers. D) The z-score method is less affected by an extreme observation in the data set. 22) 3

23) The chancellor of a major university was concerned about alcohol abuse on her campus and wanted to find out the proportion of students at her university who visited campus bars on the weekend before the final exam week. Her assistant took a random sample of 250 students. The portion of students in the sample who visited campus bars on the weekend before the final exam week is an example of. A) a discrete random variable. B) a categorical random variable. C) a parameter. D) a statistic 23) 4

Answer Key Testname: P1EX 1) A 2) B 3) Descriptive: 27% of the students sampled (or 1350) read at least one best-seller each month. Inferential: Based on the survey, we estimate that about 27% of all high school students read at least one best-seller each month. 4) A 5) A 6) B 7) C 8) The mean is the sum of the numbers divided by 18: 1 + 2 + 3 + 3 + 4 + 9 + 9 + 11 + 11 + 11 + 14 + 14 + 19 + 22 + 23 + 24 + 25 + 29 18 = 234 = 13 medals. 18 11 + 11 The median is the mean of the two middle numbers: 2 The mode is the most frequent number of medals: 11 medals. 9) C 10) D 11) B 12) B 13) A 14) B (x - x) 2 15) s2 = n -1 x = x n = 63 + 42 + 69 + 66 + 41 5 = 56.2 = 11 medals. s2 = (63-56.2) 2 + (42-56.2)2 + (69-56.2)2 + (66-56.2)2 + (41-56.2)2 5-1 = 184.70 16) C 17) D 18) A 19) history z-score = 0.67; physics z-score = 4.05; The student performed better on the physics test. 20) The value of x lies 2.5 standard deviations below the mean. 21) C 22) D 23) D 5