Beginning Statistics

by Carolyn Warren, Kimberly Denley, and Emily Atchley

ISBN ListTable 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.


Beginning Statistics, by Carolyn Warren, Kimberly Denley, and Emily Atchley 2/E


Product 13 Digit ISBN
Courseware + eBook* 978-1-941552-50-6
Courseware + eBook* + Textbook 978-1-941552-51-3
* 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 t-Distribution
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 Chi-Square Test for Goodness of Fit
10.7 Chi-Square 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
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 R-Charts
A.10 p-Charts
A.11 c-Charts
A.12 Mean Charts Using Range
A.13 Mean Charts Using s
A.14 Introduction to Estimating Population Means