Intermediate Statistics Using Sports Examples

Edition: 1

Copyright: 2025

Pages: 244

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$50.00 USD

ISBN 9798385164479

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List of Figures
List of Tables

Chapter 1 Introduction
What is Statistics?
Assumed Prerequisites 
More on Statistics 

Chapter 2 Descriptive Statistics
Categorical Data  
Numerical Data
   Graphs for Quantitative Variables 
   Box and Whisker Plots
   Another Complete Example 
   Another Complete Example  
Exercises

Chapter 3 Probability
Contingency Tables Problems 
Making the Table 
Tree Diagrams 
Bayes Rule 
Counting
Exercises 

Chapter 4 Discrete Random Variables
Intro to Discrete Random Variables  
Binomial Random Variables 
Hyper-Geometric Variables 
Geometric Random Variables 
Poisson Random Variables
Exercises 

Chapter 5 Continuous Random Variables
Introduction to Continuous Random Variables
Uniform Random Variables 
Exponential Random Variables 
Normal Random Variables
Exercises 

Chapter 6 Sampling Distributions
Intro to Sampling Distributions  
The Formulas
Another Application
Exercises

Chapter 7 Confidence Intervals
Introduction to Confidence Intervals
Background 
Finding Confidence Intervals for µ when σ is known 
Finding Confidence Intervals for µ when σ is NOT known   Finding Confidence Intervals for p the population proportion The “Real” meaning of Confidence Intervals 
Determining the Sample Size
Exercises

Chapter 8 Hypothesis Testing
Introduction 
Hypothesis Testing for a Single Mean 
A Five-Step Process for Hypothesis Tests
Type I and Type II Errors 
Hypothesis Testing for a Population Proportion  
Exercises 

Chapter 9 Inference for Two Means
Hypothesis Testing for a Two Means  
Paired Difference Experiments  
Limitations of Hypothesis Tests 
Exercises

Chapter 10 Categorical Data Analysis
Lack of Fit 
Test of Association 
Exercises 

Chapter 11 Linear Regression 
Basics
Inference for the Slope
Basic Residual Analysis
Exercises

Chapter 12 Appendix
R Code used within Textbook  
Chapter 2: Descriptive Statistics 
Chapter 3: Probability 
Chapter 4: Discrete Random Variables 
Chapter 5: Continuous Random Variables 
Chapter 6: Sampling Distribution
Chapter 7: Confidence Intervals for a Mean
Chapter 8: Hypothesis Test for a Mean  
Chapter 9: Two Sample Inference (Means) 
Chapter 10: Categorical Inference 
Chapter 11: Regression
R Output from R code shown in Appendix 
References 

Raymond Mugno
Klay Kruczek
Andrew Bartlett

List of Figures
List of Tables

Chapter 1 Introduction
What is Statistics?
Assumed Prerequisites 
More on Statistics 

Chapter 2 Descriptive Statistics
Categorical Data  
Numerical Data
   Graphs for Quantitative Variables 
   Box and Whisker Plots
   Another Complete Example 
   Another Complete Example  
Exercises

Chapter 3 Probability
Contingency Tables Problems 
Making the Table 
Tree Diagrams 
Bayes Rule 
Counting
Exercises 

Chapter 4 Discrete Random Variables
Intro to Discrete Random Variables  
Binomial Random Variables 
Hyper-Geometric Variables 
Geometric Random Variables 
Poisson Random Variables
Exercises 

Chapter 5 Continuous Random Variables
Introduction to Continuous Random Variables
Uniform Random Variables 
Exponential Random Variables 
Normal Random Variables
Exercises 

Chapter 6 Sampling Distributions
Intro to Sampling Distributions  
The Formulas
Another Application
Exercises

Chapter 7 Confidence Intervals
Introduction to Confidence Intervals
Background 
Finding Confidence Intervals for µ when σ is known 
Finding Confidence Intervals for µ when σ is NOT known   Finding Confidence Intervals for p the population proportion The “Real” meaning of Confidence Intervals 
Determining the Sample Size
Exercises

Chapter 8 Hypothesis Testing
Introduction 
Hypothesis Testing for a Single Mean 
A Five-Step Process for Hypothesis Tests
Type I and Type II Errors 
Hypothesis Testing for a Population Proportion  
Exercises 

Chapter 9 Inference for Two Means
Hypothesis Testing for a Two Means  
Paired Difference Experiments  
Limitations of Hypothesis Tests 
Exercises

Chapter 10 Categorical Data Analysis
Lack of Fit 
Test of Association 
Exercises 

Chapter 11 Linear Regression 
Basics
Inference for the Slope
Basic Residual Analysis
Exercises

Chapter 12 Appendix
R Code used within Textbook  
Chapter 2: Descriptive Statistics 
Chapter 3: Probability 
Chapter 4: Discrete Random Variables 
Chapter 5: Continuous Random Variables 
Chapter 6: Sampling Distribution
Chapter 7: Confidence Intervals for a Mean
Chapter 8: Hypothesis Test for a Mean  
Chapter 9: Two Sample Inference (Means) 
Chapter 10: Categorical Inference 
Chapter 11: Regression
R Output from R code shown in Appendix 
References 

Raymond Mugno
Klay Kruczek
Andrew Bartlett