# The Basic Practice of Statistics 7th edition

David S. Moore, William I. Notz, and Michael A. Fligner
Publisher: Macmillan Learning

## eBook

Your students can pay an additional fee for access to an online version of the textbook that might contain additional interactive features.

## Lifetime of Edition (LOE)

Your students are allowed unlimited access to WebAssign courses that use this edition of the textbook at no additional cost.

## Textbook Resources

Additional instructional and learning resources are available with the textbook, and might include testbanks, slide presentations, online simulations, videos, and documents.

Access is contingent on use of this textbook in the instructor's classroom.

• Chapter 1: Picturing Distributions with Graphs
• 1.1: Individuals and variables (1)
• 1.2: Categorical variables: pie charts and bar graphs (3)
• 1.3: Quantitative variables: histograms (1)
• 1.4: Interpreting histograms
• 1.5: Quantitative variables: stemplots (2)
• 1.6: Time plots (1)
• 1: Check Your Skills (10)
• 1: Exercises (19)
• 1: Exploring the Web
• 1: Extra Problems (4)

• Chapter 2: Describing Distributions with Numbers
• 2.1: Measuring center: the mean (2)
• 2.2: Measuring center: the median
• 2.3: Comparing the mean and the median (3)
• 2.4: Measuring variability: the quartiles
• 2.5: The five-number summary and boxplots (2)
• 2.6: Spotting suspected outliers and modified boxplots (2)
• 2.7: Measuring variability: the standard deviation
• 2.8: Choosing measures of center and variability (3)
• 2.9: Using technology
• 2.10: Organizing a statistical problem (2)
• 2: Check Your Skills (10)
• 2: Exercises (18)
• 2: Exploring the Web
• 2: Extra Problems (12)

• Chapter 3: The Normal Distributions
• 3.1: Density curves (2)
• 3.2: Describing density curves (2)
• 3.3: Normal distributions
• 3.4: The 68–95–99.7 rule (2)
• 3.5: The standard Normal distribution (2)
• 3.6: Finding Normal proportions
• 3.7: Using the standard Normal table (3)
• 3.8: Finding a value given a proportion (2)
• 3: Check Your Skills (10)
• 3: Exercises (27)
• 3: Exploring the Web
• 3: Extra Problems (19)

• Chapter 4: Scatterplots and Correlation
• 4.1: Explanatory and response variables (3)
• 4.2: Displaying relationships: scatterplots (1)
• 4.3: Interpreting scatterplots (1)
• 4.4: Adding categorical variables to scatterplots
• 4.5: Measuring linear association: correlation (1)
• 4.6: Facts about correlation (2)
• 4: Check Your Skills (10)
• 4: Exercises (18)
• 4: Exploring the Web
• 4: Extra Problems (4)

• Chapter 5: Regression
• 5.1: Regression lines (3)
• 5.2: The least-squares regression line
• 5.3: Using technology (2)
• 5.4: Facts about least-squares regression (1)
• 5.5: Residuals (3)
• 5.6: Influential observations (3)
• 5.7: Cautions about correlation and regression (3)
• 5.8: Association does not imply causation (3)
• 5: Check Your Skills (10)
• 5: Exercises (26)
• 5: Exploring the Web
• 5: Extra Problems

• Chapter 6: Two-Way Tables
• 6.1: Marginal distributions (2)
• 6.2: Conditional distributions (3)
• 6.3: Simpson's paradox (2)
• 6: Check Your Skills (7)
• 6: Exercises (14)
• 6: Exploring the Web
• 6: Extra Problems

• Chapter 7: Exploring Data: Part I Review
• 7: Test Yourself (33)
• 7: Supplementary Exercises (15)
• 7: Extra Problems (1)

• Chapter 8: Producing Data: Sampling
• 8.1: Population versus sample (3)
• 8.2: How to sample badly (2)
• 8.3: Simple random samples (3)
• 8.4: Inference about the population (1)
• 8.5: Other sampling designs (2)
• 8.6: Cautions about sample surveys (1)
• 8.7: The impact of technology (1)
• 8: Check Your Skills (7)
• 8: Exercises (16)
• 8: Exploring the Web
• 8: Extra Problems (5)

• Chapter 9: Producing Data: Experiments
• 9.1: Observation versus experiment (3)
• 9.2: Subjects, factors, and treatments (3)
• 9.3: How to experiment badly (1)
• 9.4: Randomized comparative experiments (2)
• 9.5: The logic of randomized comparative experiments (2)
• 9.6: Cautions about experimentation (2)
• 9.7: Matched pairs and other block designs (3)
• 9: Check Your Skills (9)
• 9: Exercises (19)
• 9: Exploring the Web
• 9: Extra Problems (1)

• Chapter 10: Data Ethics
• 10.1: Institutional review boards (1)
• 10.2: Informed consent (1)
• 10.3: Confidentiality (1)
• 10.4: Clinical trials
• 10.5: Behavioral and social science experiments (1)
• 10: Check Your Skills
• 10: Exercises (6)
• 10: Exploring the Web
• 10: Extra Problems

• Chapter 11: Producing Data: Part II Review
• 11: Test Yourself (14)
• 11: Supplementary Exercises (6)
• 11: Extra Problems (1)

• Chapter 12: Introducing Probability
• 12.1: The idea of probability
• 12.2: The search for randomness (3)
• 12.3: Probability models (3)
• 12.4: Probability rules (4)
• 12.5: Finite and discrete probability models (3)
• 12.6: Continuous probability models (3)
• 12.7: Random variables (2)
• 12.8: Personal probability (2)
• 12: Check Your Skills (10)
• 12: Exercises (25)
• 12: Exploring the Web
• 12: Extra Problems (28)

• Chapter 13: General Rules of Probability
• 13.1: Independence and the multiplication rule (3)
• 13.2: The general addition rule (2)
• 13.3: Conditional probability (3)
• 13.4: The general multiplication rule (3)
• 13.5: Independence again (1)
• 13.6: Tree diagrams (4)
• 13.7: Bayes' rule
• 13: Check Your Skills (10)
• 13: Exercises (30)
• 13: Exploring the Web
• 13: Extra Problems (15)

• Chapter 14: Binomial Distributions
• 14.1: The binomial setting and binomial distributions
• 14.2: Binomial distributions in statistical sampling (4)
• 14.3: Binomial probabilities
• 14.4: Using technology (3)
• 14.5: Binomial mean and standard deviation (2)
• 14.6: The Normal approximation to binomial distributions (3)
• 14: Check Your Skills (9)
• 14: Exercises (22)
• 14: Exploring the Web
• 14: Extra Problems (8)

• Chapter 15: Sampling Distributions
• 15.1: Parameters and statistics (2)
• 15.2: Statistical estimation and the law of large numbers
• 15.3: Sampling distributions (2)
• 15.4: The sampling distribution of (3)
• 15.5: The central limit theorem (2)
• 15.6: Sampling distributions and statistical significance
• 15: Check Your Skills (7)
• 15: Exercises (19)
• 15: Exploring the Web
• 15: Extra Problems (16)

• Chapter 16: Confidence Intervals: The Basics
• 16.1: The reasoning of statistical estimation (2)
• 16.2: Margin of error and confidence level (1)
• 16.3: Confidence intervals for a population mean (3)
• 16.4: How confidence intervals behave (3)
• 16: Check Your Skills (8)
• 16: Exercises (7)
• 16: Exploring the Web
• 16: Extra Problems (8)

• Chapter 17: Tests of Significance: The Basics
• 17.1: The reasoning of tests of significance (1)
• 17.2: Stating hypotheses (5)
• 17.3: P-value and statistical significance (3)
• 17.4: Tests for a population mean (2)
• 17.5: Significance from a table (3)
• 17.6: Resampling: significance from a simulation
• 17: Check Your Skills (9)
• 17: Exercises (13)
• 17: Exploring the Web
• 17: Extra Problems (8)

• Chapter 18: Inference in Practice
• 18.1: Conditions for inference in practice (3)
• 18.2: Cautions about confidence intervals (4)
• 18.3: Cautions about significance tests (4)
• 18.4: Planning studies: sample size for confidence intervals (2)
• 18.5: Planning studies: the power of a statistical test (4)
• 18: Check Your Skills (9)
• 18: Exercises (25)
• 18: Exploring the Web
• 18: Extra Problems (11)

• Chapter 19: From Data Production to Inference: Part III Review
• 19: Test Yourself (38)
• 19: Supplementary Exercises (16)
• 19: Extra Problems

• Chapter 20: Inference about a Population Mean
• 20.1: Conditions for inference about a mean (2)
• 20.2: The t distributions (2)
• 20.3: The one-sample t confidence interval (2)
• 20.4: The one-sample t test (2)
• 20.5: Using technology
• 20.6: Matched pairs t procedures (1)
• 20.7: Robustness of t procedures (2)
• 20.8: Resampling and standard errors
• 20: Check Your Skills (9)
• 20: Exercises (18)
• 20: Exploring the Web
• 20: Extra Problems (12)

• Chapter 21: Comparing Two Means
• 21.1: Two-sample problems (1)
• 21.2: Comparing two population means
• 21.3: Two-sample t procedures (1)
• 21.4: Using technology (1)
• 21.5: Robustness again (4)
• 21.6: Details of the t approximation (1)
• 21.7: Avoid the pooled two-sample t procedures
• 21.8: Avoid inference about standard deviations
• 21.9: Permutation tests
• 21: Check Your Skills (9)
• 21: Exercises (23)
• 21: Exploring the Web
• 21: Extra Problems (8)

• Chapter 22: Inference about a Population Proportion
• 22.1: The sample proportion (2)
• 22.2: Large-sample confidence intervals for a proportion (2)
• 22.3: Choosing the sample size (2)
• 22.4: Significance tests for a proportion (3)
• 22.5: Plus four confidence intervals for a proportion (3)
• 22: Check Your Skills (7)
• 22: Exercises (6)
• 22: Exploring the Web
• 22: Extra Problems (17)

• Chapter 23: Comparing Two Proportions
• 23.1: Two-sample problems: proportions
• 23.2: The sampling distribution of a difference between proportions
• 23.3: Large-sample confidence intervals for comparing proportions
• 23.4: Using technology
• 23.5: Significance tests for comparing proportions (3)
• 23.6: Plus four confidence intervals for comparing proportions (1)
• 23: Check Your Skills (6)
• 23: Exercises (16)
• 23: Exploring the Web
• 23: Extra Problems (7)

• Chapter 24: Inference about Variables: Part IV Review
• 24: Test Yourself (24)
• 24: Supplementary Exercises (15)
• 24: Extra Problems (14)

• Chapter 25: Two Categorical Variables: The Chi-Square Test
• 25.1: Two-way tables (1)
• 25.2: The problem of multiple comparisons (1)
• 25.3: Expected counts in two-way tables (1)
• 25.4: The chi-square test statistic
• 25.5: Cell counts required for the chi-square test
• 25.6: Using technology (2)
• 25.7: Uses of the chi-square test: independence and homogeneity (1)
• 25.8: The chi-square distributions (1)
• 25.9: The chi-square test for goodness of fit (5)
• 25: Check Your Skills (10)
• 25: Exercises (11)
• 25: Exploring the Web
• 25: Extra Problems (11)

• Chapter 26: Inference for Regression
• 26.1: Conditions for regression inference
• 26.2: Estimating the parameters (1)
• 26.3: Using technology (2)
• 26.4: Testing the hypothesis of no linear relationship (3)
• 26.5: Testing lack of correlation (2)
• 26.6: Confidence intervals for the regression slope (3)
• 26.7: Inference about prediction (2)
• 26.8: Checking the conditions for inference (2)
• 26: Check Your Skills (9)
• 26: Exercises (23)
• 26: Exploring the Web
• 26: Extra Problems (13)

• Chapter 27: One-Way Analysis of Variance: Comparing Several Means
• 27.1: Comparing several means
• 27.2: The analysis of variance F test (1)
• 27.3: Using technology (1)
• 27.4: The idea of analysis of variance
• 27.5: Conditions for ANOVA (2)
• 27.6: F distributions and degrees of freedom (2)
• 27.7: Some details of ANOVA (3)
• 27: Check Your Skills (2)
• 27: Exercises (11)
• 27: Exploring the Web
• 27: Extra Problems (20)

• Chapter 28: Nonparametric Tests
• 28.1: Comparing two samples: the Wilcoxon rank sum test
• 28.2: The Normal approximation for W
• 28.3: Using technology
• 28.4: What hypotheses does Wilcoxon test?
• 28.5: Dealing with ties in rank tests (2)
• 28.6: Matched pairs: the Wilcoxon signed rank test
• 28.7: The Normal approximation for W+ (3)
• 28.8: Dealing with ties in the signed rank test
• 28.9: Comparing several samples: the Kruskal–Wallis test
• 28.10: Hypotheses and conditions for the Kruskal–Wallis test
• 28.11: The Kruskal–Wallis test statistic
• 28: Check Your Skills (8)
• 28: Exercises
• 28: Exploring the Web
• 28: Extra Problems

• Chapter 29: Multiple Regression
• 29.1: Parallel regression lines (2)
• 29.2: Estimating parameters
• 29.3: Using technology
• 29.4: Inference for multiple regression
• 29.5: Interaction (4)
• 29.6: The general multiple linear regression model (1)
• 29.7: The woes of regression coefficients
• 29.8: A case study for multiple regression
• 29.9: Inference for regression parameters (1)
• 29.10: Checking the conditions for inference (2)
• 29: Check Your Skills (10)
• 29: Exercises
• 29: Exploring the Web
• 29: Extra Problems

• Chapter 30: More about Analysis of Variance
• 30.1: Beyond one-way ANOVA
• 30.2: Follow-up analysis: Tukey pairwise multiple comparisons
• 30.3: Follow-up analysis: contrasts
• 30.4: Two-way ANOVA: conditions, main effects, and interaction
• 30.5: Inference for two-way ANOVA
• 30.6: Some details of two-way ANOVA
• 30: Check Your Skills
• 30: Exercises
• 30: Exploring the Web
• 30: Extra Problems

• Chapter 31: Statistical Process Control
• 31.1: Processes
• 31.2: Describing processes (2)
• 31.3: The idea of statistical process control (1)
• 31.4: charts for process monitoring (1)
• 31.5: s charts for process monitoring
• 31.6: Using control charts (1)
• 31.7: Setting up control charts
• 31.8: Comments on statistical control (2)
• 31.9: Don't confuse control with capability
• 31.10: Control charts for sample proportions
• 31.11: Control limits for p charts (4)
• 31: Check Your Skills (4)
• 31: Exercises (3)
• 31: Exploring the Web
• 31: Extra Problems

Moore's data analysis approach in The Basic Practice of Statistics 7th edition moves students away from formulas and number-crunching, focusing instead on how working statisticians in a variety of fields collect and analyze data, and use the results to tackle real-world problems. The WebAssign component for this text engages students with immediate feedback, an interactive eBook with online resources, and a question bank of end-of-section exercises.

Features
• Every WebAssign question links to applicable chapters in a fully integrated eBook.
• Learning Curve adaptive quizzing available for every chapter.
• StatTutors provide multimedia tutorials with built-in assessments that explore important statistics concepts and procedures.
• Video Technology Manuals provide brief instructions for using specific statistical software (over 50 topics/videos per software) and are available for TI-83/84 calculators, JMP, Excel, Minitab, SPSS, R, and RCmdr.
• Statistical Videos consist of StatClips, StatClips Examples, Statistically Speaking "Snapshots," and StatBoards, including animated lecture videos, whiteboard lessons, and documentary-style footage that illustrate key statistical concepts and help students visualize statistics in real-world scenarios.
• Associated data files from the textbook are available to use for appropriate exercises, formatted for TI-83/84 calculators, JMP, Excel, Minitab, SPSS, R, and RCmdr.
• Downloadable test banks and practice quizzes for each chapter.
• Book specific PowerPoint lecture slides and iClicker slides.
• Instructor and student solution manuals.
Question Types
• Extra Problems from the previous edition and available open source content can be used for extra practice and enriching assignments.
Use the Textbook Edition Upgrade Tool to automatically update all of your assignments from the previous edition to corresponding questions in this textbook.

## Questions Available within WebAssign

Most questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.

##### Question Availability Color Key
BLACK questions are available now
GRAY questions are under development

Group Quantity Questions
Chapter 1: Picturing Distributions with Graphs
1.E 41 001 003 004 005 006 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 027 028 030 031 032 033 034 035 035.alt 036 037 038 040 041 042 043 501.XP 502.XP 503.XP 504.XP
Chapter 2: Describing Distributions with Numbers
2.E 54 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 027 028 030 031 032 033 034 035 036 037 041 042 045 046 048 051 052 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP
Chapter 3: The Normal Distributions
3.E 69 001 002 003 004 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP 514.XP 515.XP 516.XP 517.XP 518.XP 519.XP
Chapter 4: Scatterplots and Correlation
4.E 40 001 002.alt 003 005 008 010 011 013 014 015 016 017 018 019 020 021 022 023 024 026 027 028 029 030 032 033 034 035 036 037 038 039 040 041 043 047 501.XP 502.XP 503.XP 504.XP
Chapter 5: Regression
5.E 54 001 002 003 004 005 006 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038.alt 039 040 042 043 044 045 048 049 050 051 052 055 056 059 060 061 064
Chapter 6: Two-Way Tables
6.E 28 001 002 003 004 005 006 007 008 009 010 011 012 014 017 018 019 020 021 022 023 024 025 027 028 029 030 031 032
Chapter 7: Exploring Data: Part I Review
7.E 49 001 002 003 004 005 006 007 008 009 010 011 012 013 016 017 018 019 021 022 026 027.alt 028.alt 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 046 047 048 049 050 051 053 054 055 056 501.XP
Chapter 8: Producing Data: Sampling
8.E 41 001 002 003 004 005 006 007 008 009 011 012 013 015 017 018 019 021 022 023 024 026 027 029 032 033 034 035 036 037 038 041 042 043 044 047 048 501.XP 502.XP 503.XP 504.XP 505.XP
Chapter 9: Producing Data: Experiments
9.E 45 001 002 003 004 005 006 007 009 010 011 012 014 015 016 017 018 019 020 021 022 023 024 026 027 028 029 031 032 033 034 035 037 038 039 040 041 042 044 045 046 047 048 049 050 501.XP
Chapter 10: Data Ethics
10.E 10 002 004 006 008 010 014 016 018 020 024
Chapter 11: Producing Data: Part II Review
11.E 21 001 002 004 005 006 007 008 009 010 011 012 013 014 015 019 020 021 022 024 025 501.XP
Chapter 12: Introducing Probability
12.E 83 002.alt 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP 514.XP 515.XP 516.XP 517.XP 518.XP 519.XP 520.XP 521.XP 522.XP 523.XP 524.XP 525.XP 526.XP 527.XP 528.XP
Chapter 13: General Rules of Probability
13.E 71 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019.alt 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 057 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP 514.XP 515.XP
Chapter 14: Binomial Distributions
14.E 51 001 002 003 004 005 006 007 008 009 010 011 012.alt 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
Chapter 15: Sampling Distributions
15.E 51 001 002 006 007 008 009 010 011 012 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP 514.XP 515.XP 516.XP
Chapter 16: Confidence Intervals: The Basics
16.E 32 001 002 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 025 026 027 028 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 509.XP
Chapter 17: Tests of Significance: The Basics
17.E 44 001 003 004 005 006 007 008 010 011 014 015 016 017 018 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 037 038 039 040 043 044 045 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
Chapter 18: Inference in Practice
18.E 62 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP
Chapter 19: From Data Production to Inference: Part III Review
19.E 54 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 022 023 024 025 027 028 029 032 033 034 035 036 037 040 041 042 046 047 051 052 053 054 055 055.alt 056 057 058 059 060 061 062 063 064 065
Chapter 20: Inference about a Population Mean
20.E 50 001 002 003 004 005 006 008 009 012 013 014 017 018 019 020 021 022 023 025 026 027 028 029 030 031 032 033 034 036 037 039 041 044 047 048 049 051 054 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP
Chapter 21: Comparing Two Means
21.E 48 002 006 008 009 010 011 012 014 018 019 020 021 022 023 024 025 026 027 028 029 030 032 034 035 037.alt 038 039 040 042 043 044 045 046 047 048 049 050 051 052 053 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
Chapter 22: Inference about a Population Proportion
22.E 42 002 003 005 006 007 008 009 010 011 012 013 014 015 016 017.alt 019 020 021 024 026 030 031 032 033 035 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP 514.XP 515.XP 516.XP 517.XP 518.XP
Chapter 23: Comparing Two Proportions
23.E 33 004 005 006 007 010 011 013 014 015 016 017 018 019 020 021 022 023 025 026 027 028 029 030 033 034 035 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
Chapter 24: Inference about Variables: Part IV Review
24.E 53 001 002 003 004 005 009 019 020 021 022 023 025 026 027 028 029 031 032 040 041 042 043 044 045 046 048 049 050 051 052 053 054 055 056 057 060 061 062 063 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP 514.XP
Chapter 25: Two Categorical Variables: The Chi-Square Test
25.E 44 002 004 006 008 009 010 013 014 015 016 017 018 019 020 021 023 024 025 026 027 028 029 033 035 036 037 039 041 044 045 048 049 050 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP
Chapter 26: Inference for Regression
26.E 60 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 039 040 042 043 044 045 046 047 048 049 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP
Chapter 27: One-Way Analysis of Variance: Comparing Several Means
27.E 42 001 003 008 009 010 011 012 013 014 015 023 024 025 026 027 028 029 031 032 040 041 043 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP 514.XP 515.XP 516.XP 517.XP 518.XP 519.XP 520.XP
Chapter 28: Nonparametric Tests
28.E 13 016 017 020 021 022 033 035 036 037 038 039 040 041
Chapter 29: Multiple Regression
29.E 20 001 002 011 012 013 016 018 027 029 030 031 032 033 034 035 036 037 038 039 040
Chapter 30: More about Analysis of Variance
30 0
Chapter 31: Statistical Process Control
31.E 18 004 005 007 009 019 025 026 027 029 030 031 032 034 035 041 042 043 044
Total 1323