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STAT CD Hawkes Learning Systems:STATISTICS
ISBN: 0-918091-31-4 or 978-0-918091-31-4

Bundled with
BEGINNING STATISTICS, 1/E 

Carolyn Warren, Kim Denley, Emily Atchley
ISBN:1-932628-12-6 or 978-1-932628-12-8

Bundled with
DISCOVERING STATISTICS, 2/E 

James Hawkes, William Marsh
ISBN: 0-918091-85-3
or 978-0-918091-85-7

View alternative Table of Contents: Classical Statistics or Discovering Statistics

Chapter 1: Introduction to Statistics
1.1 Getting Started
1.2 Data Classification
1.3 The Process of a Statistical Study
1.4 The Reality of Conducting a Study
  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 3: Numerical Descriptions of Data  
3.1 Measures of Center
3.2 Measures of Dispersion
3.3 Measures of Relative Position
  Chapter 4: Probability, Randomness, and Uncertainty  
4.1 Classical Probability
4.2 Probability Rules
4.3 Basic Counting Rules
4.4 Additional Counting Techniques
  Chapter 5: Probability Distributions  
5.1 Expected Value
5.2 Binomial Distribution
5.3 Poisson Distribution
5.4 Hypergeometric Distribution
  Chapter 6: Continuous Random Variables  
6.1 Introduction to the Normal Curve
6.2 Reading a Normal Curve Table
6.3 Finding Probability Using the Normal Curve
6.4 Finding z Values Using the Normal Curve
6.5 Finding t Values Using the Student t-distribution
  Chapter 7: Sampling Distributions  
7.1 Central Limit Theorem
7.2 Central Limit Theorem with Population Means
7.3 Central Limit Theorem with Population Proportion
7.4 Approximating the Binomial Distribution Using the Normal Distribution
  Chapter 8: Confidence Intervals  
8.1 Introduction to Estimating Population Means
8.2 Estimating Population Means (Large Samples)
8.3 Estimating Population Means (Small Samples)
8.4 Estimating Population Proportions
8.5 Estimating Population Variance
  Chapter 9: Confidence Intervals for Two Samples  
9.1 Comparing Two Means (Large, Independent Samples)
9.2 Comparing Two Means (Small, Independent Samples)
9.3 Comparing Two Means (Dependent Samples)
9.4 Comparing Two Proportions (Large, Independent Samples)
9.5 Comparing Two Population Variances
Chapter 10: Hypothesis Testing
10.1 Fundamentals of Hypothesis Testing
10.2 Hypothesis Testing for Means (Small Samples)
10.3 Hypothesis Testing for Means (Large Samples)
10.4 Hypothesis Testing for Population Proportions
10.5 Types of Errors
10.6 Hypothesis Testing about a Population Variance
10.7 Chi-Square Test for Goodness of Fit
10.8 Chi-Square Test for Association
  Chapter 11: Hypothesis Testing (Two or More Populations)  
11.1 Hypothesis Testing - Two Means (Large Independent Samples)
11.2 Hypothesis Testing - Two Means (Small Independent Samples)
11.3 Hypothesis Testing - Two Means (Dependent Samples)
11.4 Hypothesis Testing - Two Proportions (Large Independent Samples)
11.5 Hypothesis Testing - Two Population Variances
11.6 ANOVA
  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
  A: Appendix  
A.1 Constructing Samples
A.2 Games of Chance
A.3 Name that Distribution
A.4 Direct Mail
A.5 Hypothesis Testing Means (z Value)
A.6 Hypothesis Testing Proportions (z Value)
A.7 ANOVA Regression
A.8 R-Charts
A.9 p-Charts
A.10 c-Charts
A.11 Mean Charts Using Range
A.12 Mean Charts Using s