Beginning Statistics
by Carolyn Warren, Kimberly Denley, and Emily Atchley
ISBN List • Table of Contents
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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.
Technology solutions and examples are interspersed throughout the textbook’s chapters to further emphasize the application of statistics within educational and professional careers.
Textbook
Beginning Statistics, by Carolyn Warren, Kimberly Denley, and Emily Atchley 2/E
ISBN
Product 
13 Digit ISBN 
Courseware + eBook^{*} 
9781941552506 
Courseware + eBook^{*} + Textbook 
9781941552513 
* Included eBook can only be accessed online through the courseware.

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 and Test 
Chapter 2: Graphical Descriptions of Data 
2.1 
Frequency Distributions 
2.2a 
Graphical Displays of Data: Pie Charts and Bar Graphs 
2.2b 
Graphical Displays of Data: Histograms, Polygons, Stem and Leaf Plots 
2.3 
Analyzing Graphs 

Chapter 2 Review and Test 
Chapter 3: Numerical Descriptions of Data 
3.1 
Measures of Center 
3.2a 
Measures of Dispersion 
3.2b 
Applying the Standard Deviation 
3.3 
Measures of Relative Position 

Chapter 3 Review and Test 
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 and Test 
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 and Test 
Chapter 6: Normal Probability Distributions 
6.1 
Introduction to the Normal Distribution 
6.2 
Finding Area Under a 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 and Test 
Chapter 7: The Central Limit Theorum 
7.1 
Introduction to the Central Limit Theorem 
7.2 
Central Limit Theorem with Means 
7.3 
Central Limit Theorem with Proportions 

Chapter 7 Review and Test 
Chapter 8: Confidence Intervals 
8.1 
Estimating Population Means (Sigma Known) 
8.2 
Student's tDistribution 
8.3 
Estimating Population Means (Sigma Unknown) 
8.4 
Estimating Population Proportions 
8.5 
Estimating Population Variances 

Chapter 8 Review and Test 

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

Chapter 9 Review and Test 
Chapter 10: Hypothesis Testing 
10.1 
Fundamentals of Hypothesis Testing 
10.2 
Hypothesis Testing for Population Means (Sigma Known) 
10.3 
Hypothesis Testing for Population Means (Sigma 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 and Test 
Chapter 11: Hypothesis Testing (Two or More Populations) 
11.1 
Hypothesis Testing: Two Population Means (Sigma Known) 
11.2 
Hypothesis Testing: Two Population Means (Sigma Unnown) 
11.3 
Hypothesis Testing: Two Population Means (Sigma Unnown, 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 and Test 
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 Equations 

Chapter 12 Review and Test 
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 
Hypothesis Testing Means (z Value) 
A.7 
Hypothesis Testing Proportions (z Value) 
A.8 
ANOVA Regression 
A.9 
RCharts 
A.10 
pCharts 
A.11 
cCharts 
A.12 
Mean Charts Using Range 
A.13 
Mean Charts Using s 
A.14 
Introduction to Estimating Population Means 
