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ELEMENTARY STATISTICS
Elementary Statistics – 14th Edition By Triola | Complete
Test Bank
Prose1 Stuvia
, Chapter 1: Introduction to Statistics
Chapter 2: Exploring Data with Tables and Graphs
Chapter 3: Describing, Exploring, and Comparing Data
Chapter 4: Probability
Chapter 5: Discrete Probability Distributions
Chapter 6: Normal Probability Distributions
Chapter 7: Estimating Parameters and Determining Sample Sizes
Chapter 8: Hypothesis Testing
Chapter 9: Inferences from Two Samples
Chapter 10: Correlation and Regression
Chapter 11: Goodness-of-Fit and Contingency Tables
Chapter 12: Analysis of Variance
Chapter 13: Nonparametric Tests
Chapter 14: Statistical Process Control
,TEST BANK: Chapter 1 – Introduction to Statistics
�PART A: Multiple Choice Questions (25 Questions)
1) Determine whether the given description corresponds to an experiment or an
observational study. A stock analyst selects a stock from a group of twenty for
investment by choosing the stock with the greatest earnings per share reported
for the last quarter.
A) Observational study
B) Experiment
Answer: A
Explanation: The analyst is merely observing existing data (earnings per share) without
imposing any treatment or controlling variables. In an experiment, researchers deliberately
apply a treatment to subjects. Here, no manipulation occurs; the analyst simply reviews
reported data .
2) Identify which type of sampling is used. The name of each contestant is written
on a separate card, the cards are placed in a bag, and three names are picked from
the bag.
A) Stratified
B) Simple Random
C) Convenience
D) Cluster
E) Systematic
Answer: B
Explanation: This is a classic example of simple random sampling because every
contestant has an equal chance of being selected, and every possible sample of three
names has an equal chance of being chosen. The process of drawing names from a bag
ensures complete randomness .
, 3) Identify which type of sampling is used. To avoid working late, a quality control
analyst simply inspects the first 100 items produced in a day.
A) Stratified
B) Simple Random
C) Convenience
D) Systematic
E) Cluster
Answer: C
Explanation: This is convenience sampling because the analyst selects items that are
easiest to access (the first 100 produced). This method introduces bias as the early items
may not be representative of all items produced throughout the day .
4) An education expert randomly selects ten schools from a district and interviews
all teachers at those schools. Does this sampling plan result in a random sample?
Simple random sample? Explain.
A) Yes; yes. The sample is random because all teachers have the same chance of being
selected.
B) Yes; no. The sample is random but not simple random because some samples are
impossible.
C) No; yes. The sample is not random but qualifies as simple random.
D) No; no. The sample is neither random nor simple random.
Answer: B
Explanation: This is a cluster sample (randomly selecting schools and including all
teachers). It is random because selection involves chance, but it is NOT a simple random
sample because not every possible combination of teachers could be selected (e.g., you
cannot have a sample with teachers from non-selected schools) .
5) A town obtains current employment data by polling 10,000 of its citizens this
month. Identify the type of observational study.
A) Retrospective
B) Cross-sectional
ELEMENTARY STATISTICS
Elementary Statistics – 14th Edition By Triola | Complete
Test Bank
Prose1 Stuvia
, Chapter 1: Introduction to Statistics
Chapter 2: Exploring Data with Tables and Graphs
Chapter 3: Describing, Exploring, and Comparing Data
Chapter 4: Probability
Chapter 5: Discrete Probability Distributions
Chapter 6: Normal Probability Distributions
Chapter 7: Estimating Parameters and Determining Sample Sizes
Chapter 8: Hypothesis Testing
Chapter 9: Inferences from Two Samples
Chapter 10: Correlation and Regression
Chapter 11: Goodness-of-Fit and Contingency Tables
Chapter 12: Analysis of Variance
Chapter 13: Nonparametric Tests
Chapter 14: Statistical Process Control
,TEST BANK: Chapter 1 – Introduction to Statistics
�PART A: Multiple Choice Questions (25 Questions)
1) Determine whether the given description corresponds to an experiment or an
observational study. A stock analyst selects a stock from a group of twenty for
investment by choosing the stock with the greatest earnings per share reported
for the last quarter.
A) Observational study
B) Experiment
Answer: A
Explanation: The analyst is merely observing existing data (earnings per share) without
imposing any treatment or controlling variables. In an experiment, researchers deliberately
apply a treatment to subjects. Here, no manipulation occurs; the analyst simply reviews
reported data .
2) Identify which type of sampling is used. The name of each contestant is written
on a separate card, the cards are placed in a bag, and three names are picked from
the bag.
A) Stratified
B) Simple Random
C) Convenience
D) Cluster
E) Systematic
Answer: B
Explanation: This is a classic example of simple random sampling because every
contestant has an equal chance of being selected, and every possible sample of three
names has an equal chance of being chosen. The process of drawing names from a bag
ensures complete randomness .
, 3) Identify which type of sampling is used. To avoid working late, a quality control
analyst simply inspects the first 100 items produced in a day.
A) Stratified
B) Simple Random
C) Convenience
D) Systematic
E) Cluster
Answer: C
Explanation: This is convenience sampling because the analyst selects items that are
easiest to access (the first 100 produced). This method introduces bias as the early items
may not be representative of all items produced throughout the day .
4) An education expert randomly selects ten schools from a district and interviews
all teachers at those schools. Does this sampling plan result in a random sample?
Simple random sample? Explain.
A) Yes; yes. The sample is random because all teachers have the same chance of being
selected.
B) Yes; no. The sample is random but not simple random because some samples are
impossible.
C) No; yes. The sample is not random but qualifies as simple random.
D) No; no. The sample is neither random nor simple random.
Answer: B
Explanation: This is a cluster sample (randomly selecting schools and including all
teachers). It is random because selection involves chance, but it is NOT a simple random
sample because not every possible combination of teachers could be selected (e.g., you
cannot have a sample with teachers from non-selected schools) .
5) A town obtains current employment data by polling 10,000 of its citizens this
month. Identify the type of observational study.
A) Retrospective
B) Cross-sectional
