TEST BANK
Elementary Statistics 13th Edition
By Mario Triola
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ST
SO
LU
TI
O
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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
TE
3. Describing, Exploring, and Comparing Data
3.1 Measures of Center
3.2 Measures of Variation
3.3 Measures of Relative Standing and Boxplots
ST
4. Probability
4.1 Basic Concepts of Probability
4.2 Addition Rule and Multiplication Rule
4.3 Complements, Conditional Probability, and Bayes' Theorem
SO
4.4 Counting
4.5 Simulations for Hypothesis Tests
5. Discrete Probability Distributions
5.1 Probability Distributions
LU
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
O
6.6 Normal as Approximation to Binomial (download only)
7. Estimating Parameters and Determining Sample Sizes
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7.1 Estimating a Population Proportion
7.2 Estimating a Population Mean
7.3 Estimating a Population Standard Deviation or Variance
7.4 Bootstrapping: Using Technology for Estimates
8. Hypothesis Testing
8.1 Basics of Hypothesis Testing
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
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10.5 Nonlinear Regression
11. Goodness-of-Fit and Contingency Tables
11.1 Goodness-of-Fit
11.2 Contingency Tables
ST
12. Analysis of Variance
12.1 One-Way ANOVA
12.2 Two-Way ANOVA
SO
13. Nonparametric Tests
13.1 Basics of Nonparametric Tests
13.2 Sign Test
13.3 Wilcoxon Signed.Ranks Test for Matched Pairs
13.4 Wilcoxon Rank-Sum Test for Two Independent Samples
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13.5 Kruskal-Wallis Test for Three or More Samples
13.6 Rank Correlation
13.7 Runs Test for Randomness
14. Statistics Process Control
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14.1 Control Charts for Variation and Mean
14.2 Control Charts for Attributes
O
N
, All Chapters Included
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Chapter 1 Exam A
Name All Answers Included
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 1)
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) Experiment B) Observational study
2) Identify which type of sampling is used. The name of each contestant is written on a separate 2)
card, the cards are placed in a bag, and three names are picked from the bag.
TE
A) Simple Random
B) Cluster
C) Convenience
D) Stratified
E) Systematic
ST
3) Identify which type of sampling is used. To avoid working late, a quality control analyst 3)
simply inspects the first 100 items produced in a day.
A) Systematic
B) Stratified
C) Convenience
SO
D) Cluster
E) Simple Random
4) An education expert is researching teaching methods and wishes to interview teachers from a 4)
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.
LU
A) 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 sample that includes teachers from
schools that were not selected.
B) 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
TI
being selected.
C) Yes; no. The sample is random because all teachers have the same chance of being
selected. It is not a simple random sample because some samples are not possible,
such as a sample that includes teachers from schools that were not selected.
O
D) 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 selected.
N
5) Identify the type of observational study used. A town obtains current employment data by 5)
polling 10,000 of its citizens this month.
A) Prospective B) Retrospective C) Cross-sectional D) None of these
6) Determine whether the given value is a discrete or continuous variable. People are asked to 6)
state how many times in the last month they visited their family doctor.
A) Continuous B) Discrete
kjhgfds
Elementary Statistics 13th 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
TE
3. Describing, Exploring, and Comparing Data
3.1 Measures of Center
3.2 Measures of Variation
3.3 Measures of Relative Standing and Boxplots
ST
4. Probability
4.1 Basic Concepts of Probability
4.2 Addition Rule and Multiplication Rule
4.3 Complements, Conditional Probability, and Bayes' Theorem
SO
4.4 Counting
4.5 Simulations for Hypothesis Tests
5. Discrete Probability Distributions
5.1 Probability Distributions
LU
5.2 Binomial Probability Distributions
5.3 Poisson Probability Distributions
6. Normal Probability Distributions
6.1 The Standard Normal Distribution
TI
6.2 Real Applications of Normal Distributions
6.3 Sampling Distributions and Estimators
6.4 The Central Limit Theorem
6.5 Assessing Normality
O
6.6 Normal as Approximation to Binomial (download only)
7. Estimating Parameters and Determining Sample Sizes
N
7.1 Estimating a Population Proportion
7.2 Estimating a Population Mean
7.3 Estimating a Population Standard Deviation or Variance
7.4 Bootstrapping: Using Technology for Estimates
8. Hypothesis Testing
8.1 Basics of Hypothesis Testing
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
TE
10.5 Nonlinear Regression
11. Goodness-of-Fit and Contingency Tables
11.1 Goodness-of-Fit
11.2 Contingency Tables
ST
12. Analysis of Variance
12.1 One-Way ANOVA
12.2 Two-Way ANOVA
SO
13. Nonparametric Tests
13.1 Basics of Nonparametric Tests
13.2 Sign Test
13.3 Wilcoxon Signed.Ranks Test for Matched Pairs
13.4 Wilcoxon Rank-Sum Test for Two Independent Samples
LU
13.5 Kruskal-Wallis Test for Three or More Samples
13.6 Rank Correlation
13.7 Runs Test for Randomness
14. Statistics Process Control
TI
14.1 Control Charts for Variation and Mean
14.2 Control Charts for Attributes
O
N
, All Chapters Included
hgfdsa
Chapter 1 Exam A
Name All Answers Included
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 1)
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) Experiment B) Observational study
2) Identify which type of sampling is used. The name of each contestant is written on a separate 2)
card, the cards are placed in a bag, and three names are picked from the bag.
TE
A) Simple Random
B) Cluster
C) Convenience
D) Stratified
E) Systematic
ST
3) Identify which type of sampling is used. To avoid working late, a quality control analyst 3)
simply inspects the first 100 items produced in a day.
A) Systematic
B) Stratified
C) Convenience
SO
D) Cluster
E) Simple Random
4) An education expert is researching teaching methods and wishes to interview teachers from a 4)
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.
LU
A) 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 sample that includes teachers from
schools that were not selected.
B) 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
TI
being selected.
C) Yes; no. The sample is random because all teachers have the same chance of being
selected. It is not a simple random sample because some samples are not possible,
such as a sample that includes teachers from schools that were not selected.
O
D) 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 selected.
N
5) Identify the type of observational study used. A town obtains current employment data by 5)
polling 10,000 of its citizens this month.
A) Prospective B) Retrospective C) Cross-sectional D) None of these
6) Determine whether the given value is a discrete or continuous variable. People are asked to 6)
state how many times in the last month they visited their family doctor.
A) Continuous B) Discrete
kjhgfds
