Beginning Statistics

by Carolyn Warren, Kimberly Denley, and Emily Atchley

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.

Formats: Software, Textbook, eBook

Product ISBN
Courseware + eBook 978-1-941552-50-6
Courseware + eBook + Textbook 978-1-941552-51-3

Table of Contents

  1. Chapter 1: Introduction to Statistics
    1. 1.1 Getting Started
    2. 1.2 Data Classification
    3. 1.3 The Process of a Statistical Study
    4. 1.4 How to Critique a Published Study
    5. Chapter 1 Review and Test
  2. Chapter 2: Graphical Descriptions of Data
    1. 2.1 Frequency Distributions
    2. 2.2a Graphical Displays of Data: Pie Charts and Bar Graphs
    3. 2.2b Graphical Displays of Data: Histograms, Polygons, Stem and Leaf Plots
    4. 2.3 Analyzing Graphs
    5. Chapter 2 Review and Test
  3. Chapter 3: Numerical Descriptions of Data
    1. 3.1 Measures of Center
    2. 3.2a Measures of Dispersion
    3. 3.2b Applying the Standard Deviation
    4. 3.3 Measures of Relative Position
    5. Chapter 3 Review and Test
  4. Chapter 4: Probability, Randomness, and Uncertainty
    1. 4.1 Introduction to Probability
    2. 4.2 Addition Rules for Probability
    3. 4.3 Multiplication Rules for Probability
    4. 4.4 Combinations and Permutations
    5. 4.5 Combining Probability and Counting Techniques
    6. Chapter 4 Review and Test
  5. Chapter 5: Discrete Probability Distributions
    1. 5.1 Discrete Random Variables
    2. 5.2 Binomial Distribution
    3. 5.3 Poisson Distribution
    4. 5.4 Hypergeometric Distribution
    5. Chapter 5 Review and Test
  6. Chapter 6: Normal Probability Distributions
    1. 6.1 Introduction to the Normal Distribution
    2. 6.2 Finding Area Under a Normal Distribution
    3. 6.3 Finding Probability Using a Normal Distribution
    4. 6.4 Finding Values of a Normally Distributed Random Variable
    5. 6.5 Approximating a Binomial Distribution Using a Normal Distribution
    6. Chapter 6 Review and Test
  7. Chapter 7: The Central Limit Theorum
    1. 7.1 Introduction to the Central Limit Theorem
    2. 7.2 Central Limit Theorem with Means
    3. 7.3 Central Limit Theorem with Proportions
    4. Chapter 7 Review and Test
  8. Chapter 8: Confidence Intervals
    1. 8.1 Estimating Population Means (Sigma Known)
    2. 8.2 Student's t-Distribution
    3. 8.3 Estimating Population Means (Sigma Unknown)
    4. 8.4 Estimating Population Proportions
    5. 8.5 Estimating Population Variances
    6. Chapter 8 Review and Test
  9. Chapter 9: Confidence Intervals for Two Samples
    1. 9.1 Comparing Two Population Means (Sigma Known)
    2. 9.2 Comparing Two Population Means (Sigma Unknown)
    3. 9.3 Comparing Two Population Means (Sigma Unknown, Dependent Samples)
    4. 9.4 Comparing Two Population Proportions
    5. 9.5 Comparing Two Population Variances
    6. Chapter 9 Review and Test
  10. Chapter 10: Hypothesis Testing
    1. 10.1 Fundamentals of Hypothesis Testing
    2. 10.2 Hypothesis Testing for Population Means (Sigma Known)
    3. 10.3 Hypothesis Testing for Population Means (Sigma Unknown)
    4. 10.4 Hypothesis Testing for Population Proportions
    5. 10.5 Hypothesis Testing for Population Variances
    6. 10.6 Chi-Square Test for Goodness of Fit
    7. 10.7 Chi-Square Test for Association
    8. Chapter 10 Review and Test
  11. Chapter 11: Hypothesis Testing (Two or More Populations)
    1. 11.1 Hypothesis Testing: Two Population Means (Sigma Known)
    2. 11.2 Hypothesis Testing: Two Population Means (Sigma Unnown)
    3. 11.3 Hypothesis Testing: Two Population Means (Sigma Unnown, Dependent Samples)
    4. 11.4 Hypothesis Testing: Two Population Proportions
    5. 11.5 Hypothesis Testing: Two Population Variances
    6. 11.6 ANOVA (Analysis of Variance)
    7. Chapter 11 Review and Test
  12. Chapter 12: Regression, Inference, and Model Building
    1. 12.1 Scatter Plots and Correlation
    2. 12.2 Linear Regression
    3. 12.3 Regression Analysis
    4. 12.4 Multiple Regression Equations
    5. Chapter 12 Review and Test
  13. Appendix
    1. A.1 Constructing Samples
    2. A.2 Games of Chance
    3. A.3 Name that Distribution
    4. A.4 Type II Errors
    5. A.5 Direct Mail
    6. A.6 Hypothesis Testing Means (z Value)
    7. A.7 Hypothesis Testing Proportions (z Value)
    8. A.8 ANOVA Regression
    9. A.9 R-Charts
    10. A.10 p-Charts
    11. A.11 c-Charts
    12. A.12 Mean Charts Using Range
    13. A.13 Mean Charts Using s
    14. A.14 Introduction to Estimating Population Means