Beginning Statistics
by Carolyn Warren Wiley, Kimberly Denley, and Emily Atchley
The third edition of Beginning Statistics is designed to help students develop a solid foundation and understanding of statistics. The information covered includes methods of conducting and critiquing a statistical study, hypothesis testing, confidence intervals, and regression.
The textbook and software accentuate the importance of technology in today's world and provide a thorough description of how to use popular computational technologies. The software's interactive Tutor and informational Learn mode directly link to specific technology instructions whenever necessary.
Updates to the third edition include new and streamlined questions with fewer steps, a modernized methodology for hypothesis testing, the addition of heat maps, current data, and more. An emphasis is placed on the ability to use different methodologies to arrive at correct answers.
A curated list of resources for this title is available at stat.hawkeslearning.com. This companion website features:

Free, realworld data sets

Stepbystep instructions for TI calculators, Excel, Minitab^{®}, SPSS, JMP, and R

Chapter projects that apply lessons to reallife scenarios

Links to data visualization resources

External videos explaining key topics
Bundling options include Minitab^{®}, SPSS, JMP, and Rguroo.
Formats: Software, eBook, Textbook
Product  ISBN 

Software + eBook  9781642772791 
Software + eBook + Textbook  9781642772807 
Table of Contents

Chapter 1: Introduction to Statistics
 1.1 Getting Started
 1.2 Data Classification
 1.3 The Process of a Statistical Study
 1.4 How to Critique a Published Study
 Chapter 1 Review

Chapter 2: Graphical Descriptions of Data
 2.1 Frequency Distributions
 2.2 Graphical Displays of Data
 2.3 Analyzing Graphs
 Chapter 2 Review

Chapter 3: Numerical Descriptions of Data
 3.1 Measures of Center
 3.2 Measures of Dispersion
 3.3 Measures of Relative Position
 Chapter 3 Review

Chapter 4: Probability, Randomness, and Uncertainty
 4.1 Introduction to Probability
 4.2 Addition Rules for Probability
 4.3 Multiplication Rules for Probability
 4.4 Combinations and Permutations
 4.5 Combining Probability and Counting Techniques
 Chapter 4 Review

Chapter 5: Discrete Probability Distributions
 5.1 Discrete Random Variables
 5.2 Binomial Distribution
 5.3 Poisson Distribution
 5.4 Hypergeometric Distribution
 Chapter 5 Review

Chapter 6: Normal Probability Distributions
 6.1 Introduction to the Normal Distribution
 6.2 The Standard Normal Distribution
 6.3 Finding Probability Using a Normal Distribution
 6.4 Finding Values of a Normally Distributed Random Variable
 6.5 Approximating a Binomial Distribution Using a Normal Distribution
 Chapter 6 Review

Chapter 7: The Central Limit Theorem
 7.1 Sampling Distributions and the Central Limit Theorem
 7.2 Central Limit Theorem with Means
 7.3 Central Limit Theorem with Proportions
 Chapter 7 Review

Chapter 8: Confidence Intervals
 8.1 Estimating Population Means (σ Known)
 8.2 Student's tDistribution
 8.3 Estimating Population Means (σ Unknown)
 8.4 Estimating Population Proportions
 8.5 Estimating Population Variances
 Chapter 8 Review

Chapter 9: Confidence Intervals for Two Samples
 9.1 Comparing Two Population Means (σ Known, Independent Samples)
 9.2 Comparing Two Population Means (σ Unknown, Independent Samples)
 9.3 Comparing Two Population Means (σ Unknown, Dependent Samples)
 9.4 Comparing Two Population Proportions
 9.5 Comparing Two Population Variances
 Chapter 9 Review

Chapter 10: Hypothesis Testing
 10.1 Fundamentals of Hypothesis Testing
 10.2 Hypothesis Testing for Population Means (σ Known)
 10.3 Hypothesis Testing for Population Means (σ Unknown)
 10.4 Hypothesis Testing for Population Proportions
 10.5 Hypothesis Testing for Population Variances
 10.6 ChiSquare Test for Goodness of Fit
 10.7 ChiSquare Test for Association
 Chapter 10 Review

Chapter 11: Hypothesis Testing (Two or More Populations)
 11.1 Hypothesis Testing: Two Population Means (σ Known)
 11.2 Hypothesis Testing: Two Population Means (σ Unknown)
 11.3 Hypothesis Testing: Two Population Means (σ Unknown, Dependent Samples)
 11.4 Hypothesis Testing: Two Population Proportions
 11.5 Hypothesis Testing: Two Population Variances
 11.6 ANOVA (Analysis of Variance)
 Chapter 11 Review

Chapter 12: Regression, Inference, and Model Building
 12.1 Scatter Plots and Correlation
 12.2 Linear Regression
 12.3 Regression Analysis
 12.4 Multiple Regression
 Chapter 12 Review

Appendix:
 A.1 Constructing Samples
 A.2 Games of Chance
 A.3 Name that Distribution
 A.4 Type II Errors
 A.5 Direct Mail
 A.6 Statistical Process Control
 A.7 Choosing the Correct Statistic for Estimating a Population Mean