TEST BANK
Elementary Statistics 14th Edition
By Mario Triola
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, TABLE OF CONTENT
1. Introduction to Statistics
1.1 Statistical and Critical Thinking
1.2 Types of Data
1.3 Collecting Sample Data
1.4 Ethics in Statistics (download only)
2. Exploring Data with Tables and Graphs
2.1 Frequency Distributions for Organizing and Summarizing Data
2.2 Histograms
2.3 Graphs That Enlighten and Graphs That Deceive
2.4 Scatterplots, Correlation, and Regression
3. Describing, Exploring, and Comparing Data
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3.1 Measures of Center
3.2 Measures of Variation
3.3 Measures of Relative Standing and Boxplots
4. Probability
4.1 Basic Concepts of Probability
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4.2 Addition Rule and Multiplication Rule
4.3 Complements, Conditional Probability, and Bayes' Theorem
4.4 Counting
4.5 Simulations for Hypothesis Tests
5. Discrete Probability Distributions
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5.1 Probability Distributions
5.2 Binomial Probability Distributions
5.3 Poisson Probability Distributions
6. Normal Probability Distributions
6.1 The Standard Normal Distribution
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6.2 Real Applications of Normal Distributions
6.3 Sampling Distributions and Estimators
6.4 The Central Limit Theorem
6.5 Assessing Normality
6.6 Normal as Approximation to Binomial (download only)
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7. Estimating Parameters and Determining Sample Sizes
7.1 Estimating a Population Proportion
7.2 Estimating a Population Mean
7.3 Estimating a Population Standard Deviation or Variance
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7.4 Bootstrapping: Using Technology for Estimates
8. Hypothesis Testing
8.1 Basics of Hypothesis Testing
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8.2 Testing a Claim About a Proportion
8.3 Testing a Claim About a Mean
8.4 Testing a Claim About a Standard Deviation or Variance
8.5 Resampling: Using Technology for Hypothesis Testing
9. Inferences from Two Samples
9.1 Two Proportions
9.2 Two Means: Independent Samples
9.3 Matched Pairs
9.4 Two Variances or Standard Deviations
9.5 Resampling: Using Technology for Inferences
10. Correlation and Regression
,10.1 Correlation
10.2 Regression
10.3 Prediction Intervals and Variation 10.4 Multiple Regression
10.5 Nonlinear Regression
11. Goodness-of-Fit and Contingency Tables
11.1 Goodness-of-Fit
11.2 Contingency Tables
12. Analysis of Variance
12.1 One-Way ANOVA
12.2 Two-Way ANOVA
13. Nonparametric Tests
13.1 Basics of Nonparametric Tests
13.2 Sign Test
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13.3 Wilcoxon Signed Ranks Test for Matched Pairs
13.4 Wilcoxon Rank-Sum Test for Two Independent Samples
13.5 Kruskal-Wallis Test for Three or More Samples
13.6 Rank Correlation
13.7 Runs Test for Randomness
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14. Statistics Process Control
14.1 Control Charts for Variation and Mean
14.2 Control Charts for Attributes
15. Holistic Statistics
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Triola Elementary Statistics 14e
Chapter 1 Test
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
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
Objective: Exam A
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.
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A) Stratified
B) Simple Random
C) Convenience
D) Cluster
E) Systematic
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Objective: Exam A
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
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B) Simple Random
C) Convenience
D) Systematic
E) Cluster
Objective: Exam A
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4) An education expert is researching teaching methods and wishes to interview teachers from a particular school
district. She randomly selects ten schools from the district and interviews all of the teachers at the selected 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. It is a simple
random sample because all samples have the same chance of being selected.
B) Yes; no. The sample is random because all teachers have the same chance of being selected. It is not a simple
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random sample because some samples are not possible, such as a sample that includes teachers from schools
that were not selected.
C) No; yes. The sample is not random because teachers in small schools are more likely to be selected than
teachers in larger schools. It is a simple random sample because all samples have the same chance of being
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selected.
D) No; no. The sample is not random because teachers in small schools are more likely to be selected than
teachers in larger schools. It is not a simple random sample because some samples are not possible, such as a
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sample that includes teachers from schools that were not selected.
Objective: Exam A
5) Identify the type of observational study used. A town obtains current employment data by polling 10,000 of its
citizens this month.
A) Retrospective B) Cross-sectional C) Prospective D) None of these
Objective: Exam A
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Elementary Statistics 14th Edition
By Mario Triola
TE
ST
SO
LU
TI
O
N
, TABLE OF CONTENT
1. Introduction to Statistics
1.1 Statistical and Critical Thinking
1.2 Types of Data
1.3 Collecting Sample Data
1.4 Ethics in Statistics (download only)
2. Exploring Data with Tables and Graphs
2.1 Frequency Distributions for Organizing and Summarizing Data
2.2 Histograms
2.3 Graphs That Enlighten and Graphs That Deceive
2.4 Scatterplots, Correlation, and Regression
3. Describing, Exploring, and Comparing Data
TE
3.1 Measures of Center
3.2 Measures of Variation
3.3 Measures of Relative Standing and Boxplots
4. Probability
4.1 Basic Concepts of Probability
ST
4.2 Addition Rule and Multiplication Rule
4.3 Complements, Conditional Probability, and Bayes' Theorem
4.4 Counting
4.5 Simulations for Hypothesis Tests
5. Discrete Probability Distributions
SO
5.1 Probability Distributions
5.2 Binomial Probability Distributions
5.3 Poisson Probability Distributions
6. Normal Probability Distributions
6.1 The Standard Normal Distribution
LU
6.2 Real Applications of Normal Distributions
6.3 Sampling Distributions and Estimators
6.4 The Central Limit Theorem
6.5 Assessing Normality
6.6 Normal as Approximation to Binomial (download only)
TI
7. Estimating Parameters and Determining Sample Sizes
7.1 Estimating a Population Proportion
7.2 Estimating a Population Mean
7.3 Estimating a Population Standard Deviation or Variance
O
7.4 Bootstrapping: Using Technology for Estimates
8. Hypothesis Testing
8.1 Basics of Hypothesis Testing
N
8.2 Testing a Claim About a Proportion
8.3 Testing a Claim About a Mean
8.4 Testing a Claim About a Standard Deviation or Variance
8.5 Resampling: Using Technology for Hypothesis Testing
9. Inferences from Two Samples
9.1 Two Proportions
9.2 Two Means: Independent Samples
9.3 Matched Pairs
9.4 Two Variances or Standard Deviations
9.5 Resampling: Using Technology for Inferences
10. Correlation and Regression
,10.1 Correlation
10.2 Regression
10.3 Prediction Intervals and Variation 10.4 Multiple Regression
10.5 Nonlinear Regression
11. Goodness-of-Fit and Contingency Tables
11.1 Goodness-of-Fit
11.2 Contingency Tables
12. Analysis of Variance
12.1 One-Way ANOVA
12.2 Two-Way ANOVA
13. Nonparametric Tests
13.1 Basics of Nonparametric Tests
13.2 Sign Test
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13.3 Wilcoxon Signed Ranks Test for Matched Pairs
13.4 Wilcoxon Rank-Sum Test for Two Independent Samples
13.5 Kruskal-Wallis Test for Three or More Samples
13.6 Rank Correlation
13.7 Runs Test for Randomness
ST
14. Statistics Process Control
14.1 Control Charts for Variation and Mean
14.2 Control Charts for Attributes
15. Holistic Statistics
SO
LU
TI
O
N
, sdfghjkl
Triola Elementary Statistics 14e
Chapter 1 Test
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
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
Objective: Exam A
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.
TE
A) Stratified
B) Simple Random
C) Convenience
D) Cluster
E) Systematic
ST
Objective: Exam A
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
SO
B) Simple Random
C) Convenience
D) Systematic
E) Cluster
Objective: Exam A
LU
4) An education expert is researching teaching methods and wishes to interview teachers from a particular school
district. She randomly selects ten schools from the district and interviews all of the teachers at the selected 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. It is a simple
random sample because all samples have the same chance of being selected.
B) Yes; no. The sample is random because all teachers have the same chance of being selected. It is not a simple
TI
random sample because some samples are not possible, such as a sample that includes teachers from schools
that were not selected.
C) No; yes. The sample is not random because teachers in small schools are more likely to be selected than
teachers in larger schools. It is a simple random sample because all samples have the same chance of being
O
selected.
D) No; no. The sample is not random because teachers in small schools are more likely to be selected than
teachers in larger schools. It is not a simple random sample because some samples are not possible, such as a
N
sample that includes teachers from schools that were not selected.
Objective: Exam A
5) Identify the type of observational study used. A town obtains current employment data by polling 10,000 of its
citizens this month.
A) Retrospective B) Cross-sectional C) Prospective D) None of these
Objective: Exam A
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