PAGE 1
, Table of Contents are Given Below
"Statistics: Informed Decisions Using Data, 7th Edition" by Michael Sullivan III is structured into four parts,
encompassing 15 chapters:
Part 1: Getting the Information You Need
1. Data Collection
o Introduction to the Practice of Statistics
o Observational Studies and Designed Experiments
o Simple Random Sampling
o Other Effective Sampling Methods
o Bias in Sampling
o The Design of Experiments
Part 2: Descriptive Statistics
2. Organizing and Summarizing Data
o Organizing Qualitative Data
o Organizing Quantitative Data: The Popular Displays
o Additional Displays of Quantitative Data
o Graphical Misrepresentations of Data
3. Numerically Summarizing Data
o Measures of Central Tendency
o Measures of Dispersion
o Measures of Central Tendency and Dispersion from Grouped Data
o Measures of Position and Outliers
o The Five-Number Summary and Boxplots
4. Describing the Relation between Two Variables
o Scatter Diagrams and Correlation
o Least-Squares Regression
PAGE 2
, o Diagnostics on the Least-Squares Regression Line
Part 3: Probability, Probability Distributions, and Sampling Distributions
5. Probability
o Probability Rules
o The Addition Rule and Complements
o Independence and the Multiplication Rule
o Conditional Probability and the General Multiplication Rule
o Counting Techniques
6. Discrete Probability Distributions
o Discrete Random Variables
o The Binomial Probability Distribution
o The Poisson Probability Distribution
7. The Normal Probability Distribution
o Properties of the Normal Distribution
o Applications of the Normal Distribution
o Assessing Normality
8. Sampling Distributions
o Distribution of the Sample Mean
o Distribution of the Sample Proportion
Part 4: Inference: From Samples to Population
9. Estimating the Value of a Parameter Using Confidence Intervals
o Estimating a Population Proportion
o Estimating a Population Mean
o Estimating a Population Standard Deviation
10. Hypothesis Tests Regarding a Parameter
o The Language of Hypothesis Testing
o Hypothesis Tests for a Population Proportion
o Hypothesis Tests for a Population Mean
PAGE 3
, o Hypothesis Tests for a Population Standard Deviation
11. Inference on Two Samples
o Inference about Two Population Proportions
o Inference about Two Means: Dependent Samples
o Inference about Two Means: Independent Samples
o Inference about Two Population Standard Deviations
12. Inference on Categorical Data
o Goodness-of-Fit Test
o Tests for Independence and the Homogeneity of Proportions
13. Comparing Three or More Means (One-Way Analysis of Variance)
o Comparing Three or More Means
o Post Hoc Tests on One-Way Analysis of Variance
14. Inference on the Least-Squares Regression Model
o Inference about the Slope of the Least-Squares Regression Line
o Confidence and Prediction Intervals
15. Nonparametric Statistics
o An Overview of Nonparametric Statistics
o Runs Test for Randomness
o Inferences about Measures of Central Tendency
o Inferences about the Difference between Two Measures of Central Tendency: Dependent Samples
o Inferences about the Difference between Two Measures of Central Tendency: Independent
Samples
o Spearman's Rank-Correlation Test
o Kruskal-Wallis Test of One-Way Analysis of Variance
This comprehensive structure provides a detailed overview of statistical concepts and methods, making it a
valuable resource for students and professionals in the field.
PAGE 4
, Table of Contents are Given Below
"Statistics: Informed Decisions Using Data, 7th Edition" by Michael Sullivan III is structured into four parts,
encompassing 15 chapters:
Part 1: Getting the Information You Need
1. Data Collection
o Introduction to the Practice of Statistics
o Observational Studies and Designed Experiments
o Simple Random Sampling
o Other Effective Sampling Methods
o Bias in Sampling
o The Design of Experiments
Part 2: Descriptive Statistics
2. Organizing and Summarizing Data
o Organizing Qualitative Data
o Organizing Quantitative Data: The Popular Displays
o Additional Displays of Quantitative Data
o Graphical Misrepresentations of Data
3. Numerically Summarizing Data
o Measures of Central Tendency
o Measures of Dispersion
o Measures of Central Tendency and Dispersion from Grouped Data
o Measures of Position and Outliers
o The Five-Number Summary and Boxplots
4. Describing the Relation between Two Variables
o Scatter Diagrams and Correlation
o Least-Squares Regression
PAGE 2
, o Diagnostics on the Least-Squares Regression Line
Part 3: Probability, Probability Distributions, and Sampling Distributions
5. Probability
o Probability Rules
o The Addition Rule and Complements
o Independence and the Multiplication Rule
o Conditional Probability and the General Multiplication Rule
o Counting Techniques
6. Discrete Probability Distributions
o Discrete Random Variables
o The Binomial Probability Distribution
o The Poisson Probability Distribution
7. The Normal Probability Distribution
o Properties of the Normal Distribution
o Applications of the Normal Distribution
o Assessing Normality
8. Sampling Distributions
o Distribution of the Sample Mean
o Distribution of the Sample Proportion
Part 4: Inference: From Samples to Population
9. Estimating the Value of a Parameter Using Confidence Intervals
o Estimating a Population Proportion
o Estimating a Population Mean
o Estimating a Population Standard Deviation
10. Hypothesis Tests Regarding a Parameter
o The Language of Hypothesis Testing
o Hypothesis Tests for a Population Proportion
o Hypothesis Tests for a Population Mean
PAGE 3
, o Hypothesis Tests for a Population Standard Deviation
11. Inference on Two Samples
o Inference about Two Population Proportions
o Inference about Two Means: Dependent Samples
o Inference about Two Means: Independent Samples
o Inference about Two Population Standard Deviations
12. Inference on Categorical Data
o Goodness-of-Fit Test
o Tests for Independence and the Homogeneity of Proportions
13. Comparing Three or More Means (One-Way Analysis of Variance)
o Comparing Three or More Means
o Post Hoc Tests on One-Way Analysis of Variance
14. Inference on the Least-Squares Regression Model
o Inference about the Slope of the Least-Squares Regression Line
o Confidence and Prediction Intervals
15. Nonparametric Statistics
o An Overview of Nonparametric Statistics
o Runs Test for Randomness
o Inferences about Measures of Central Tendency
o Inferences about the Difference between Two Measures of Central Tendency: Dependent Samples
o Inferences about the Difference between Two Measures of Central Tendency: Independent
Samples
o Spearman's Rank-Correlation Test
o Kruskal-Wallis Test of One-Way Analysis of Variance
This comprehensive structure provides a detailed overview of statistical concepts and methods, making it a
valuable resource for students and professionals in the field.
PAGE 4
