Beginning Statistics

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Software & Textbook Bundle:
The matching Table of Contents for both the software and textbook makes it easy to assign homework. The bundle offers the benefits of a traditional textbook with the bonus of unlimited homework and practice problems.
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The software enables students to have unlimited practice and homework problems. It also has access to definitions, objectives and examples like a textbook.
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  10 Digit ISBN 13 Digit ISBN
Software Only 1-932928-24-X 978-1-932628-24-1
Software + eBook Bundle 1-938891-26-0 978-1-938891-26-7
Software + Textbook Bundle 1-932628-68-1 978-1-932628-68-5
Software + Textbook + eBook Bundle 1-938891-25-2 978-1-938891-25-0
Bundle with Minitab™, JMP™, IBM®, SPSS®

Software Table of Contents

Chapter 1: Introduction to Statistics
1.1Getting Started
1.2Data Classification
1.3The Process of a Statistical Study
1.4The Reality of Conducting a Study
 Chapter 1 Review and Test
Chapter 2: Graphical Descriptions of Data
2.1Frequency Distributions
2.2aGraphical Displays of Data: Pie Charts and Bar Graphs
2.2bGraphical Displays of Data: Histograms, Polygons, Stem and Leaf Plots
2.3Analyzing Graphs
 Chapter 2 Review and Test
Chapter 3: Numerical Descriptions of Data
3.1Measures of Center
3.2aMeasures of Dispersion
3.2bApplying the Standard Deviation
3.3Measures of Relative Position
 Chapter 3 Review and Test
Chapter 4: Probability, Randomness, and Uncertainty
4.1Classical Probability
4.2Probability Rules
4.3Basic Counting Rules
4.4Additional Counting Techniques
 Chapter 4 Review and Test
Chapter 5: Probability Distributions
5.1Expected Value
5.2Binomial Distribution
5.3Poisson Distribution
5.4Hypergeometric Distribution
 Chapter 5 Review and Test
Chapter 6: Continuous Random Variables
6.1Introduction to the Normal Curve
6.2Reading a Normal Curve Table
6.3Finding Probability Using the Normal Curve
6.4Finding z Values Using the Normal Curve
6.5Finding t Values Using the Student t-distributions
 Chapter 6 Review and Test
Chapter 7: Sampling Distributions
7.1Central Limit Theorem
7.2Central Limit Theorem with Population Means
7.3Central Limit Theorem with Population Proportion
7.4Approximating the Binomial Distribution Using the Normal Distribution
 Chapter 7 Review and Test
Chapter 8: Confidence Intervals
8.1Introduction to Estimating Population Means
8.2Estimating Population Means (Large Samples)
8.3Estimating Population Means (Small Samples)
8.4Estimating Population Proportions
8.5Estimating Population Variance
 Chapter 8 Review and Test
Chapter 9: Confidence Intervals for Two Samples
9.1Comparing Two Means (Large, Independent Samples)
9.2Comparing Two Means (Small, Independent Samples)
9.3Comparing Two Means (Dependent Samples)
9.4Comparing Two Proportions (Large, Independent Samples)
9.5Comparing Two Population Variances
 Chapter 9 Review and Test
Chapter 10: Hypothesis Testing
10.1Fundamentals of Hypothesis Testing
10.2Hypothesis Testing for Means (Small Samples)
10.3Hypothesis Testing for Means (Large Samples)
10.4Hypothesis Testing for Population Proportions
10.5Types of Errors
10.6Hypothesis Testing for a Population Variance
10.7Chi-Square Test for Goodness of Fit
10.8Chi-Square Test for Association
 Chapter 10 Review and Test
Chapter 11: Hypothesis Testing (Two or More Populations)
11.1Hypothesis Testing - Two Means (Large Independent Samples)
11.2Hypothesis Testing - Two Means (Small Independent Samples)
11.3Hypothesis Testing - Two Means (Dependent Samples)
11.4Hypothesis Testing - Two Proportions (Large Independent Samples)
11.5Hypothesis Testing - Two Population Variances
 Chapter 11 Review and Test
Chapter 12: Regression, Inference, and Model Building
12.1Scatter Plots and Correlation
12.2Linear Regression
12.3Regression Analysis
12.4Multiple Regression Equations
 Chapter 12 Review and Test
A.1Constructing Samples
A.2Games of Chance
A.3Name that Distribution
A.4Direct Mail
A.5Hypothesis Testing Means (z Value)
A.6Hypothesis Testing Proportions (z Value)
A.7ANOVA Regression
A.11Mean Charts Using Range
A.12Mean Charts Using s