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Statistical Applications in Quality and Production Management
CHAPTER 18: STATISTICAL APPLICATIONS IN QUALITY MANAGEMENT
1. The control chart a) focuses on the time dimension of a system. b) captures the natural variability in the system. c) can be us
Decision Making
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CHAPTER 17: DECISION MAKING
1. A tabular presentation that shows the outcome for each decision alternative under the various states of nature is called: a) a payback period matrix. b) a decision matrix. c) a decision tree. d) a payoff t
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Multiple Regression Models
CHAPTER 14: INTRODUCTION TO MULTIPLE REGRESSION
1. In a multiple regression problem involving two independent variables, if b1 is computed to be
+2.0, it means that a) the relationship between X1 and Y is significant. b) the
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Analysis of Variance
CHAPTER 11: ANALYSIS OF VARIANCE
1. In a one-way ANOVA, if the computed F statistic exceeds the critical F value we may a) reject H0 since there is evidence all the means differ. b) reject H0 since there is evidence of a treatment
Fundamentals of Hypothesis Testing: One-Sample Tests
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CHAPTER 9: FUNDAMENTALS OF HYPOTHESIS TESTING: ONE-SAMPLE TESTS
1. Which of the following would be an appropriate null hypothesis? a) The mean of a population is equal to 55. b) The mean of a sample i
Two-Sample Tests
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CHAPTER 10: TWO-SAMPLE TESTS
1. The t test for the difference between the means of 2 independent populations assumes that the
respective a) sample sizes are equal. b) sample variances are equal. c) populations are approximately normal.
Chi-Square Tests and Nonparametric Tests
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CHAPTER 12: CHI-SQUARE TESTS AND NONPARAMETRIC TESTS
1. When testing for independence in a contingency table with 3 rows and 4 columns, there are _ degrees of freedom. a) 5 b) 6 c) 7 d) 12 ANSWER: b TYPE: MC DI
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Simple Linear Regression
CHAPTER 13: SIMPLE LINEAR REGRESSION
1. The Y-intercept (b0) represents the a) predicted value of Y when X = 0. b) change in estimated average Y per unit change in X. c) predicted value of Y.
d) variation around the sample reg
Basic Probability
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CHAPTER 4: BASIC PROBABILITY
1. If two events are collectively exhaustive, what is the probability that one or the other occurs? a) 0 b) 0.50 c) 1.00 d) Cannot be determined from the information given. ANSWER: c TYPE: MC DIFFICULTY: E
Time-Series Analysis and Index Numbers
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CHAPTER 16: TIME-SERIES ANALYSIS AND INDEX NUMBERS
1. The effect of an unpredictable, rare event will be contained in the _ component. a) trend b) cyclical c) irregular d) seasonal ANSWER: c TYPE: MC DIFFICULTY: E
Some Important Discrete Probability Distributions
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CHAPTER 5: SOME IMPORTANT DISCRETE PROBABILITY DISTRIBUTIONS
1. Thirty-six of the staff of 80 teachers at a local intermediate school are certified in CardioPulmonary Resuscitation (CPR). In 180 days o
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Presenting Data in Tables and Charts
CHAPTER 2: PRESENTING DATA IN TABLES AND CHARTS
TABLE 2-1 An insurance company evaluates many numerical variables about a person before deciding on an appropriate rate for automobile insurance. A representative from
The Normal Distribution and Other Continuous Distributions 153
CHAPTER 6: THE NORMAL DISTRIBUTION AND OTHER CONTINUOUS DISTRIBUTIONS
1. In its standardized form, the normal distribution a) has a mean of 0 and a standard deviation of 1. b) has a mean of 1
Introduction and Data Collection
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CHAPTER 1: INTRODUCTION AND DATA COLLECTION
1. The process of using sample statistics to draw conclusions about true population parameters is called a) statistical inference. b) the scientific method. c) sampling. d) des
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Confidence Interval Estimation
CHAPTER 8: CONFIDENCE INTERVAL ESTIMATION
1. The width of a confidence interval estimate for a proportion will be a) narrower for 99% confidence than for 95% confidence. b) wider for a sample size of 100 than for a sampl
Numerical Descriptive Measures
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CHAPTER 3: NUMERICAL DESCRIPTIVE MEASURES
1. Which of the following statistics is not a measure of central tendency? a) arithmetic mean b) median c) mode d) Q3 ANSWER: d TYPE: MC DIFFICULTY: Easy KEYWORDS: measure of cent
Sampling Distributions 187
CHAPTER 7: SAMPLING AND SAMPLING DISTRIBUTIONS
1. Sampling distributions describe the distribution of a) parameters. b) statistics. c) both parameters and statistics. d) neither parameters nor statistics. ANSWER: b TYPE: MC DIFF
TEST ITEM FILE
Statistics for Managers Using Microsoft Excel 5th Edition
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TEST ITEM FILE
Statistics for Managers Using Microsoft Excel 5th Edition
David M. Levine, David Stephan, Timothy C. Krehbiel and Mark L. Berenson
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Table of Contents
Preface