# Elementary Statistics Using Excel 3rd edition

Mario F. Triola
Publisher: Pearson Education

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• Chapter 1: Introduction to Statistics
• 1.1: Overview
• 1.2: Types of Data (9)
• 1.3: Critical Thinking (8)
• 1.4: Design of Experiments (12)
• 1.5: Introduction to Excel

• Chapter 2: Summarizing and Graphing Data
• 2.1: Overview
• 2.2: Frequency Distributions (6)
• 2.3: Histograms (3)
• 2.4: Statistical Graphics (7)

• Chapter 3: Statistics for Describing, Exploring, and Comparing Data
• 3.1: Overview
• 3.2: Measures of Center (6)
• 3.3: Measures of Variation (8)
• 3.4: Measures of Relative Standing (11)
• 3.5: Exploratory Data Analysis (EDA) (4)

• Chapter 4: Probability
• 4.1: Overview
• 4.2: Fundamentals (9)
• 4.4: Multiplication Rule: Basics (11)
• 4.5: Multiplication Rule: Complements and Conditional Probability (10)
• 4.6: Probabilities Through Simulations (4)
• 4.7: Counting (14)
• 4.8: Bayes' Theorem (on CD-ROM)

• Chapter 5: Discrete Probability Distributions
• 5.1: Overview
• 5.2: Random Variables (10)
• 5.3: Binomial Probability Distributions (12)
• 5.4: Mean, Variance, and Standard Deviation for the Binomial Distribution (4)
• 5.5: Poisson Probability Distributions (5)

• Chapter 6: Normal Probability Distributions
• 6.1: Overview
• 6.2: The Standard Normal Distribution (10)
• 6.3: Applications of Normal Distributions (6)
• 6.4: Sampling Distributions and Estimators (9)
• 6.5: The Central Limit Theorem (10)
• 6.6: Normal as Approximation to Binomial (14)
• 6.7: Assessing Normality (10)

• Chapter 7: Estimates and Sample Sizes
• 7.1: Overview
• 7.2: Estimating a Population Proportion (15)
• 7.3: Estimating a Population Mean: σ Known (6)
• 7.4: Estimating a Population Mean: σ Not Known (8)
• 7.5: Estimating a Population Variance (8)

• Chapter 8: Hypothesis Testing
• 8.1: Overview
• 8.2: Basics of Hypothesis Testing (22)
• 8.3: Testing a Claim About a Proportion (6)
• 8.4: Testing a Claim About a Mean: σ Known (4)
• 8.5: Testing a Claim About a Mean: σ Not Known (12)
• 8.6: Testing a Claim About a Standard Deviation or Variance (7)

• Chapter 9: Inferences from Two Samples
• 9.1: Overview
• 9.2: Inferences About Two Proportions (6)
• 9.3: Inferences About Two Means: Independent Samples (7)
• 9.4: Inferences from Matched Pairs (8)
• 9.5: Comparing Variation in Two Samples (4)

• Chapter 10: Correlation and Regression
• 10.1: Overview
• 10.2: Correlation (6)
• 10.3: Regression (7)
• 10.4: Variation and Prediction Intervals (4)
• 10.5: Multiple Regression (9)
• 10.6: Modeling (4)

• Chapter 11: Multinomial Experiments and Contingency Tables
• 11.1: Overview
• 11.2: Multinomial Experiments: Goodness-of-Fit
• 11.3: Contingency Tables: Independence and Homogeneity
• 11.4: McNemar's Test for Matched Pairs

• Chapter 12: Analysis of Variance
• 12.1: Overview
• 12.2: One-Way ANOVA
• 12.3: Two-Way ANOVA

• Chapter 13: Nonparametric Statistics
• 13.1: Overview
• 13.2: Sign Test
• 13.3: Wilcoxon Signed-Ranks Test for Matched Pairs
• 13.4: Wilcoxon Rank-Sum Test for Two Independent Samples
• 13.5: Kruskal-Wallis Test
• 13.6: Rank Correlation
• 13.7: Runs Test for Randomness

• Chapter 14: Statistical Process Control
• 14.1: Overview
• 14.2: Control Charts for Variation and Mean
• 14.3: Control Charts for Attributes

• Chapter 15: Projects, Procedures, Perspectives
• 15.1: Projects
• 15.2: Procedures
• 15.3: Perspectives

## 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: Introduction to Statistics
1.2 9 005 007 009 011 013 014 016 017 023
1.3 8 003 005 007 011 013 014 017 018
1.4 12 005 006 007 013 015 017 019 021 023 025 027 029
Chapter 2: Summarizing and Graphing Data
2.2 6 005 009 013 015 018 019
2.3 3 004 010 011
2.4 7 002 004 006 009 013 015 017
Chapter 3: Statistics for Describing, Exploring, and Comparing Data
3.2 6 006 008 010 014 016 018
3.3 8 005 006 007 008 017 018 019 020
3.4 11 005 006 009 010 014 017 018 019 020 021 022
3.5 4 003 004 005 006
Chapter 4: Probability
4.2 9 005 009 011 014 017 021 026 027 031
4.3 13 001 003 005 007 009 011 013 015 017 019 021 023 025
4.4 11 001 003 005 007 009 011 013 015 017 019 021
4.5 10 005 006 007 011 012 015 017 021 023 025
4.6 4 001 002 003 004
4.7 14 005 006 007 008 009 010 011 012 013 015 023 030 032 037
Chapter 5: Discrete Probability Distributions
5.2 10 005 007 008 009 010 011 012 013 019 023
5.3 12 005 007 009 011 013 015 017 019 021 023 031 032
5.4 4 011 013 015 017
5.5 5 005 007 009 011 013
Chapter 6: Normal Probability Distributions
6.2 10 003 004 005 007 013 017 023 031 033 034
6.3 6 005 007 011 015 017 021
6.4 9 003 004 005 006 007 008 009 010 011
6.5 10 004 005 006 007 008 011 013 015 017 019
6.6 14 005 006 007 008 009 010 011 013 015 017 019 021 023 025
6.7 10 001 003 005 007 009 011 013 015 017 019
Chapter 7: Estimates and Sample Sizes
7.2 15 001 003 005 007 009 011 013 015 017 019 021 023 037 039 045
7.3 6 005 007 013 015 027 029
7.4 8 005 007 009 011 013 017 019 025
7.5 8 005 006 007 008 009 011 021 023
Chapter 8: Hypothesis Testing
8.2 22 001 003 005 007 009 011 013 015 017 019 021 023 025 027 029 031 033 035 037 039 041 043
8.3 6 005 006 011 013 019 023
8.4 4 013 015 017 019
8.5 12 005 007 009 011 013 015 017 019 021 023 025 027
8.6 7 005 007 009 011 013 015 017
Chapter 9: Inferences from Two Samples
9.2 6 005 007 009 011 017 027
9.3 7 005 006 007 008 015 024 025
9.4 8 005 006 007 008 013 015 017 019
9.5 4 005 011 013 015
Chapter 10: Correlation and Regression
10.2 6 005 007 009 017 019 021
10.3 7 001 005 007 015 017 019 021
10.4 4 013 015 017 019
10.5 9 005 006 007 008 009 010 011 012 013
10.6 4 005 007 009 011
Chapter 11: Multinomial Experiments and Contingency Tables
11 0
Chapter 12: Analysis of Variance
12 0
Chapter 13: Nonparametric Statistics
13 0
Chapter 14: Statistical Process Control
14 0
Chapter 15: Projects, Procedures, Perspectives
15 0
Total 368