William Mendenhall, Robert J. Beaver, and Barabara M. Beaver
Publisher: Brooks/Cole
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- Chapter 1: Describing Data With Graphs
- 1.1: Variables and Data
- 1.2: Types of Variables
- 1.3: Graphs for Categorical Data (6)
- 1.4: Graphs for Quantitative Data
- 1.5: Relative Frequency Histograms (7)
- Supplementary Exercises (10)
- Multiple Choice Exercises (33)
- Chapter 2: Describing Data With Numerical Measures
- 2.1: Describing a Set of Data with Numerical Measures
- 2.2: Measures of Center
- 2.3: Measures of Variability
- 2.4: On the Practical Significance of the Standard Deviation
- 2.5: A Check on the Calculation of s
- 2.6: Measures of Relative Standing
- 2.7: The Five-Number Summary and the Box Plot
- Supplementary Exercises
- Multiple Choice Exercises (30)
- Chapter 3: Describing Bivariate Data
- 3.1: Bivariate Data
- 3.2: Graphs for Categorical Variables (2)
- 3.3: Scatterplots for Two Quantitative Variables
- 3.4: Numerical Measures for Quantitative Bivariate Data (4)
- Supplementary Exercises (7)
- Multiple Choice Exercises (13)
- Chapter 4: Probability And Probability Distributions
- 4.1: The Role of Probability in Statistics
- 4.2: Events and the Sample Space
- 4.3: Calculating Probabilities Using Simple Events
- 4.4: Useful Counting Rules (Optional)
- 4.5: Event Relations and Probability Rules
- 4.6: Independence, Conditional Probability, and the Multiplication Rule
- 4.7: Bayes' Rule (Optional)
- 4.8: Discrete Random Variables and Their Probability Distributions
- Supplementary Exercises
- Multiple Choice Exercises (15)
- Chapter 5: Several Useful Discrete Distributions
- 5.1: Introduction
- 5.2: The Binomial Probability Distribution
- 5.3: The Poisson Probability Distribution
- 5.4: The Hypergeometric Probability Distribution
- Supplementary Exercises
- Multiple Choice Exercises (19)
- Chapter 6: The Normal Probability Distribution
- 6.1: Probability Distributions for Continuous Random Variables
- 6.2: The Normal Probability Distribution
- 6.3: Tabulated Areas of the Normal Probability Distribution
- 6.4: The Normal Approximation to the Binomial Probability Distribution (Optional)
- Supplementary Exercises
- Multiple Choice Exercises (59)
- Chapter 7: Sampling Distributions
- 7.1: Introduction
- 7.2: Sampling Plans and Experimental Designs
- 7.3: Statistics and Sampling Distributions
- 7.4: The Central Limit Theorem
- 7.5: The Sampling Distribution of the Sample Mean
- 7.6: The Sampling Distribution of the Sample Proportion
- 7.7: A Sampling Application: Statistical Process Control (Optional)
- Supplementary Exercises
- Multiple Choice Exercises (19)
- Chapter 8: Large-Sample Estimation
- 8.1: Where We've Been
- 8.2: Where We're Going Ð Statistical Inference
- 8.3: Types of Estimators
- 8.4: Point Estimation
- 8.5: Interval Estimation
- 8.6: Estimating the Difference between Two Population Means
- 8.7: Estimating the Difference between Two Binomial Populations
- 8.8: One-Sided Confidence Bounds
- 8.9: Choosing the Sample Size
- Supplementary Exercises
- Multiple Choice Exercises (19)
- Chapter 9: Large-Sample Tests of Hypotheses
- 9.1: Testing Hypotheses about Population Parameters
- 9.2: A Statistical Test of Hypothesis
- 9.3: A Large-Sample Test about a Population Mean
- 9.4: A Large-Sample Test of Hypothesis for the Difference between Two Population Means
- 9.5: A Large-Sample Test of Hypothesis for a Binomial Population
- 9.6: A Large-Sample Test of Hypothesis for the Difference between Two Binomial Proportions
- 9.7: Some Comments on Testing Hypotheses
- Supplementary Exercises
- Multiple Choice Exercises (37)
- Chapter 10: Inference From Small Samples
- 10.1: Introduction
- 10.2: Student's t Distribution
- 10.3: Small-Sample Inferences Concerning a Population Mean
- 10.4: Small-Sample Inferences for the Difference between Two Population Means: Independent Random Samples
- 10.5: Small-Sample Inferences for the Difference between Two Means: A Paired-Difference Test
- 10.6: Inferences Concerning a Population Variance
- 10.7: Comparing Two Population Variances
- 10.8: Revisiting the Small-Sample Assumptions
- Supplementary Exercises
- Multiple Choice Exercises (33)
- Chapter 11: The Analysis of Variance
- 11.1: The Design of an Experiment
- 11.2: What Is an Analysis of Variance?
- 11.3: The Assumptions for an Analysis of Variance
- 11.4: The Completely Randomized Design: A One-Way Classification
- 11.5: The Analysis of Variance for a Completely Randomized Design
- 11.6: Ranking Population Means
- 11.7: The Randomized Block Design: A Two-Way Classification
- 11.8: The Analysis of Variance for a Randomized Block Design
- 11.9: The a
- 11.10: The Analysis of Variance for an a
- 11.11: Revisiting the Analysis of Variance Assumptions
- 11.12: A Brief Summary
- Supplementary Exercises
- Multiple Choice Exercises (39)
- Chapter 12: Linear Regression And Correlation
- 12.1: Introduction
- 12.2: A Simple Linear Probabilistic Model
- 12.3: The Method of Least Squares
- 12.4: An Analysis of Variance for Linear Regression
- 12.5: Testing the Usefulness of the Linear Regression Model
- 12.6: Diagnostic Tools for Checking the Regression Assumptions
- 12.7: Estimation and Prediction Using the Fitted Line
- 12.8: Correlation Analysis
- Supplementary Exercises
- Multiple Choice Exercises (42)
- Chapter 13: Multiple Regression Analysis
- 13.1: Introduction
- 13.2: The Multiple Regression Model
- 13.3: A Multiple Regression Analysis
- 13.4: A Polynomial Regression Model
- 13.5: Using Quantitative and Qualitative Predictor Variables in a Regression Model
- 13.6: Testing Sets of Regression Coefficients
- 13.7: Interpreting Residual Plots
- 13.8: Stepwise Regression Analysis
- 13.9: Misinterpreting a Regression Analysis
- 13.10: Steps to Follow When Building a Multiple Regression Model
- Supplementary Exercises
- Multiple Choice Exercises (51)
- Chapter 14: Analysis of Categorical Data
- 14.1: A Description of the Experiment
- 14.2: Pearson's Chi-Square Statistic
- 14.3: Testing Specified Cell Probabilities: The Goodness-of-Fit Test
- 14.4: Contingency Tables: A Two-Way Classification
- 14.5: Comparing Several Multinomial Populations: A Two-Way Classification with Fixed Row or Column Totals
- 14.6: The Equivalence of Statistical Tests
- 14.7: Other Applications of the Chi-Square Test
- Supplementary Exercises
- Multiple Choice Exercises (24)
- Chapter 15: Nonparametric Statistics
- 15.1: Introduction
- 15.2: The Wilcoxon Rank Sum Test: Independent Random Samples
- 15.3: The Sign Test for a Paired Experiment
- 15.4: A Comparison of Statistical Tests
- 15.5: The Wilcoxon Signed-Rank Test for a Paired Experiment
- 15.6: The Kruskal-Wallis H-Test for Completely Randomized Designs
- 15.7: The Friedman Fr-Test for Randomized Block Designs
- 15.8: Rank Correlation Coefficient
- 15.9: Summary
- Supplementary Exercises
- Multiple Choice Exercises (35)
Questions Available within WebAssign
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Question Group Key
| Exercises | |
| Multiple Choice Question (not in textbook) |
Question Availability Color Key
| BLACK questions are available now |
| BOLD ORANGE questions are under development |
| Group | Quantity | Questions |
|---|---|---|
| Chapter 1: Describing Data With Graphs | ||
| E | 23 | 002 003 006 009 011 012 017 019 022 025 028 030 033 038 042 044 045 048 051 054 058 063 067 |
| MC | 33 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 022 023 024 025 026 027 028 029 030 031 032 033 034 035 |
| Chapter 2: Describing Data With Numerical Measures | ||
| E | 31 | 002 003 004 006 008 012 013 016 018 019 021 023 026 030 035 038 040 043 046 048 054 057 060 063 065 068 071 074 077 080 084 |
| MC | 30 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 |
| Chapter 3: Describing Bivariate Data | ||
| E | 13 | 005 007 010 013 017 019 021 023 027 030 031 035 039 |
| MC | 13 | 001 002 003 004 005 006 007 008 009 010 011 012 013 |
| Chapter 4: Probability And Probability Distributions | ||
| E | 46 | 002 003 005 009 012 015 018 021 022 025 028 031 035 038 045 046 049 052 055 056 060 064 067 070 073 076 078 081 084 086 090 094 096 100 104 107 110 113 116 120 123 126 129 131 134 137 |
| MC | 15 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 |
| Chapter 5: Several Useful Discrete Distributions | ||
| E | 33 | 001 004 005 009 012 015 018 022 025 028 031 034 035 038 041 044 048 051 053 056 058 062 066 069 072 076 080 083 086 090 093 096 099 |
| MC | 19 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 |
| Chapter 6: The Normal Probability Distribution | ||
| E | 32 | 001 003 005 007 009 011 013 017 019 025 029 033 035 037 039 041 045 047 051 055 057 059 061 063 065 067 075 079 083 087 090 093 |
| MC | 59 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 |
| Chapter 7: Sampling Distributions | ||
| E | 32 | 003 005 007 009 011 013 015 019 021 025 027 030 033 035 037 039 041 043 045 049 051 053 057 060 063 065 071 073 075 077 078 079 |
| MC | 19 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 |
| Chapter 8: Large-Sample Estimation | ||
| E | 38 | 007 009 011 013 017 021 025 027 029 033 037 041 043 045 047 051 055 057 060 063 066 067 069 072 074 077 081 085 088 091 094 097 101 104 107 111 114 117 |
| MC | 19 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 |
| Chapter 9: Large-Sample Tests of Hypotheses | ||
| E | 28 | 001 003 005 009 011 014 017 019 021 024 027 031 033 036 039 042 045 048 050 053 056 059 062 065 068 071 074 077 |
| MC | 37 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 |
| Chapter 10: Inference From Small Samples | ||
| E | 42 | 001 003 005 007 011 013 014 019 021 023 025 028 031 034 036 037 040 041 044 047 050 051 053 055 058 060 061 063 066 070 072 075 078 081 085 089 092 095 101 105 109 113 |
| MC | 33 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 |
| Chapter 11: The Analysis of Variance | ||
| E | 24 | 003 007 009 011 014 017 020 021 023 025 029 033 035 038 042 046 049 051 054 056 059 062 066 070 |
| MC | 39 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 |
| Chapter 12: Linear Regression And Correlation | ||
| E | 24 | 007 009 011 014 017 021 023 025 028 035 038 040 043 045 050 051 054 055 059 061 065 068 072 075 |
| MC | 42 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 |
| Chapter 13: Multiple Regression Analysis | ||
| E | 12 | 003 005 010 012 015 017 020 023 025 028 032 036 |
| MC | 51 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 |
| Chapter 14: Analysis of Categorical Data | ||
| E | 19 | 003 005 008 011 014 017 018 021 024 027 030 033 036 039 042 045 049 057 060 |
| MC | 24 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 |
| e | 1 | 053 |
| Chapter 15: Nonparametric Statistics | ||
| E | 27 | 001 003 005 008 011 013 016 019 021 025 027 029 033 036 039 041 043 046 049 052 055 059 062 065 070 074 077 |
| MC | 35 | 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 |
| Total | 504 (389) | |