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m*
ELEMENTARY STATISTICSm*
Elementary Statistics – 14th Edition By Triola | Complete
m* m* m* m* m* m* m* m*
Test Bank
m* m*
, Chapter 1: Introduction to Statistics
m* m* m* m*
Chapter 2: Exploring Data with Tables and Graphs
m* m* m* m* m* m* m*
Chapter 3: Describing, Exploring, and Comparing Data
m* m* m* m* m* m*
Chapter 4: Probability
m* m*
Chapter 5: Discrete Probability Distributions
m* m* m* m*
Chapter 6: Normal Probability Distributions
m* m* m* m*
Chapter 7: Estimating Parameters and Determining Sample Sizes
m* m* m* m* m* m* m*
Chapter 8: Hypothesis Testing
m* m* m*
Chapter 9: Inferences from Two Samples
m* m* m* m* m*
Chapter 10: Correlation and Regression
m* m* m* m*
Chapter 11: Goodness-of-Fit and Contingency Tables
m* m* m* m* m*
Chapter 12: Analysis of Variance
m* m* m* m*
Chapter 13: Nonparametric Tests
m* m* m*
Chapter 14: Statistical Process Control
m* m* m* m*
,TEST BANK: Chapter 1 – Introduction to Statistics
m* m* m* m* m* m* m*
�PART A: Multiple Choice Questions (25 Questions)
m* m* m* m* m* m* m*
1) Determine whether the given description corresponds to an experiment or
m* m* m* m* m* m* m* m* m* m*
m* an observational study. A stock analyst selects a stock from a group of twenty
m* m* m* m* m* m* m* m* m* m* m* m* m*
m* for investment by choosing the stock with the greatest earnings per share
m* m* m* m* m* m* m* m* m* m* m*
m* reported for the last quarter.
m* m* m* m*
A) Observational study
m* m*
B) Experiment
m*
Answer: A m*
Explanation: The analyst is merely observing existing data (earnings per share) without
m* m* m* m* m* m* m* m* m* m* m*
imposing any treatment or controlling variables. In an experiment, researchers
m* m* m* m* m* m* m* m* m* m*
deliberately apply a treatment to subjects. Here, no manipulation occurs; the analyst
m* m* m* m* m* m* m* m* m* m* m* m*
simply reviews reported data .
m* m* m* m* m*
2) Identify which type of sampling is used. The name of each contestant is
m* m* m* m* m* m* m* m* m* m* m* m* m*
m* written on a separate card, the cards are placed in a bag, and three names are
m* m* m* m* m* m* m* m* m* m* m* m* m* m* m*
m* picked from the bag. m* m* m*
A) Stratified
m*
B) Simple Random
m* m*
C) Convenience
m*
D) Cluster
m*
E) Systematic
m*
Answer: B m*
Explanation: This is a classic example of simple random sampling because every
m* m* m* m* m* m* m* m* m* m* m*
contestant has an equal chance of being selected, and every possible sample of three
m* m* m* m* m* m* m* m* m* m* m* m* m* m*
names has an equal chance of being chosen. The process of drawing names from a
m* m* m* m* m* m* m* m* m* m* m* m* m* m* m*
bag ensures complete randomness .
m* m* m* m* m*
, 3) Identify which type of sampling is used. To avoid working late, a quality
m* m* m* m* m* m* m* m* m* m* m* m* m*
m* control analyst simply inspects the first 100 items produced in a day.
m* m* m* m* m* m* m* m* m* m* m*
A) Stratified
m*
B) Simple Random
m* m*
C) Convenience
m*
D) Systematic
m*
E) Cluster
m*
Answer: C m*
Explanation: This is convenience sampling because the analyst selects items that are
m* m* m* m* m* m* m* m* m* m* m*
easiest to access (the first 100 produced). This method introduces bias as the early
m* m* m* m* m* m* m* m* m* m* m* m* m* m*
items may not be representative of all items produced throughout the day .
m* m* m* m* m* m* m* m* m* m* m* m* m*
4) An education expert randomly selects ten schools from a district and
m* m* m* m* m* m* m* m* m* m* m*
m* interviews all teachers at those schools. Does this sampling plan result in a
m* m* m* m* m* m* m* m* m* m* m* m*
m* random sample? Simple random sample? Explain.
m* m* m* m* m*
A) Yes; yes. The sample is random because all teachers have the same chance of
m* m* m* m* m* m* m* m* m* m* m* m* m* m*
m* being selected.
m*
B) Yes; no. The sample is random but not simple random because some samples are
m* m* m* m* m* m* m* m* m* m* m* m* m* m*
m* impossible.
C) No; yes. The sample is not random but qualifies as simple random.
m* m* m* m* m* m* m* m* m* m* m* m*
D) No; no. The sample is neither random nor simple random.
m* m* m* m* m* m* m* m* m* m*
Answer: B m*
Explanation: This is a cluster sample (randomly selecting schools and including all
m* m* m* m* m* m* m* m* m* m* m*
teachers). It is random because selection involves chance, but it is NOT a simple
m* m* m* m* m* m* m* m* m* m* m* m* m* m*
random sample because not every possible combination of teachers could be selected
m* m* m* m* m* m* m* m* m* m* m* m*
(e.g., you cannot have a sample with teachers from non-selected schools) .
m* m* m* m* m* m* m* m* m* m* m* m*
5) A town obtains current employment data by polling 10,000 of its citizens
m* m* m* m* m* m* m* m* m* m* m* m*
m* this month. Identify the type of observational study.
m* m* m* m* m* m* m*
A) Retrospective
m*
B) Cross-sectional
m*
m*
ELEMENTARY STATISTICSm*
Elementary Statistics – 14th Edition By Triola | Complete
m* m* m* m* m* m* m* m*
Test Bank
m* m*
, Chapter 1: Introduction to Statistics
m* m* m* m*
Chapter 2: Exploring Data with Tables and Graphs
m* m* m* m* m* m* m*
Chapter 3: Describing, Exploring, and Comparing Data
m* m* m* m* m* m*
Chapter 4: Probability
m* m*
Chapter 5: Discrete Probability Distributions
m* m* m* m*
Chapter 6: Normal Probability Distributions
m* m* m* m*
Chapter 7: Estimating Parameters and Determining Sample Sizes
m* m* m* m* m* m* m*
Chapter 8: Hypothesis Testing
m* m* m*
Chapter 9: Inferences from Two Samples
m* m* m* m* m*
Chapter 10: Correlation and Regression
m* m* m* m*
Chapter 11: Goodness-of-Fit and Contingency Tables
m* m* m* m* m*
Chapter 12: Analysis of Variance
m* m* m* m*
Chapter 13: Nonparametric Tests
m* m* m*
Chapter 14: Statistical Process Control
m* m* m* m*
,TEST BANK: Chapter 1 – Introduction to Statistics
m* m* m* m* m* m* m*
�PART A: Multiple Choice Questions (25 Questions)
m* m* m* m* m* m* m*
1) Determine whether the given description corresponds to an experiment or
m* m* m* m* m* m* m* m* m* m*
m* an observational study. A stock analyst selects a stock from a group of twenty
m* m* m* m* m* m* m* m* m* m* m* m* m*
m* for investment by choosing the stock with the greatest earnings per share
m* m* m* m* m* m* m* m* m* m* m*
m* reported for the last quarter.
m* m* m* m*
A) Observational study
m* m*
B) Experiment
m*
Answer: A m*
Explanation: The analyst is merely observing existing data (earnings per share) without
m* m* m* m* m* m* m* m* m* m* m*
imposing any treatment or controlling variables. In an experiment, researchers
m* m* m* m* m* m* m* m* m* m*
deliberately apply a treatment to subjects. Here, no manipulation occurs; the analyst
m* m* m* m* m* m* m* m* m* m* m* m*
simply reviews reported data .
m* m* m* m* m*
2) Identify which type of sampling is used. The name of each contestant is
m* m* m* m* m* m* m* m* m* m* m* m* m*
m* written on a separate card, the cards are placed in a bag, and three names are
m* m* m* m* m* m* m* m* m* m* m* m* m* m* m*
m* picked from the bag. m* m* m*
A) Stratified
m*
B) Simple Random
m* m*
C) Convenience
m*
D) Cluster
m*
E) Systematic
m*
Answer: B m*
Explanation: This is a classic example of simple random sampling because every
m* m* m* m* m* m* m* m* m* m* m*
contestant has an equal chance of being selected, and every possible sample of three
m* m* m* m* m* m* m* m* m* m* m* m* m* m*
names has an equal chance of being chosen. The process of drawing names from a
m* m* m* m* m* m* m* m* m* m* m* m* m* m* m*
bag ensures complete randomness .
m* m* m* m* m*
, 3) Identify which type of sampling is used. To avoid working late, a quality
m* m* m* m* m* m* m* m* m* m* m* m* m*
m* control analyst simply inspects the first 100 items produced in a day.
m* m* m* m* m* m* m* m* m* m* m*
A) Stratified
m*
B) Simple Random
m* m*
C) Convenience
m*
D) Systematic
m*
E) Cluster
m*
Answer: C m*
Explanation: This is convenience sampling because the analyst selects items that are
m* m* m* m* m* m* m* m* m* m* m*
easiest to access (the first 100 produced). This method introduces bias as the early
m* m* m* m* m* m* m* m* m* m* m* m* m* m*
items may not be representative of all items produced throughout the day .
m* m* m* m* m* m* m* m* m* m* m* m* m*
4) An education expert randomly selects ten schools from a district and
m* m* m* m* m* m* m* m* m* m* m*
m* interviews all teachers at those schools. Does this sampling plan result in a
m* m* m* m* m* m* m* m* m* m* m* m*
m* random sample? Simple random sample? Explain.
m* m* m* m* m*
A) Yes; yes. The sample is random because all teachers have the same chance of
m* m* m* m* m* m* m* m* m* m* m* m* m* m*
m* being selected.
m*
B) Yes; no. The sample is random but not simple random because some samples are
m* m* m* m* m* m* m* m* m* m* m* m* m* m*
m* impossible.
C) No; yes. The sample is not random but qualifies as simple random.
m* m* m* m* m* m* m* m* m* m* m* m*
D) No; no. The sample is neither random nor simple random.
m* m* m* m* m* m* m* m* m* m*
Answer: B m*
Explanation: This is a cluster sample (randomly selecting schools and including all
m* m* m* m* m* m* m* m* m* m* m*
teachers). It is random because selection involves chance, but it is NOT a simple
m* m* m* m* m* m* m* m* m* m* m* m* m* m*
random sample because not every possible combination of teachers could be selected
m* m* m* m* m* m* m* m* m* m* m* m*
(e.g., you cannot have a sample with teachers from non-selected schools) .
m* m* m* m* m* m* m* m* m* m* m* m*
5) A town obtains current employment data by polling 10,000 of its citizens
m* m* m* m* m* m* m* m* m* m* m* m*
m* this month. Identify the type of observational study.
m* m* m* m* m* m* m*
A) Retrospective
m*
B) Cross-sectional
m*
