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Business Statistics

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Business Statistics
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.
DISCOVERING STATISTICS, 2/E textbook
BEGINNING STATISTICS, 1/E textbook
Software Only:
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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ISBN

  10 Digit ISBN 13 Digit ISBN
Business Statistics Software Only 0-918091-33-0 978-0-918091-33-8
1st Edition Beginning Statistics Textbook & Business Statistics Software Bundle 1-932628-23-1 978-1-932628-23-4
2nd Edition Discovering Statistics Textbook & Business Statistics Software Bundle 0-918091-84-5 978-0-918091-84-0

 

Software Table of Contents

  Chapter 1: Data and Problem Solving  
1.1 Getting Started
1.2 Level of Measurement
1.3 The Process of a Statistical Study
1.4 The Reality of Conducting a Study
  Chapter 1 Review and Test
  Chapter 2: Graphical Description 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 Measure of Center
3.2 Measure of Dispersion
3.3 Constructing Samples
3.4 Measure of Relative Position
  Chapter 3 Review and Test
  Chapter 4: Probability, Randomness, and Uncertainty  
4.1 Classical Probability
4.2 Probability Rules
4.3 Counting Rules
4.4 Additional Counting Techniques
  Chapter 4 Review and Test
  Chapter 5: Types of Discrete Random Variables  
5.1 Discrete Random Variables
5.2 The Binomial Distribution
5.3 The Poisson Distribution
5.4 The Hypergeometric Distribution
5.5 Games of Chance
  Chapter 5 Review and Test
  Chapter 6: Continuous Random Variables  
6.1 Introduction to the Normal Curve
6.2 Reading a Normal Curve Table
6.3 The Normal Distribution
6.4 Find the Value of z
6.5 Find the Value of t
6.6 Name that Distribution
  Chapter 6 Review and Test
  Chapter 7: Samples and Sampling Distribution  
7.1 Sampling Distributions Simulation
7.2 Sampling Distributions: Proportions
7.3 Sampling Distributions: Means
7.4 Approximating the Binomial Distribution Using the Normal Distribution
  Chapter 7 Review and Test
  Chapter 8: Estimating Means and Proportions  
8.1 Estimating Proportions
8.2 Introduction to Estimating Population Means
8.3 Estimating Means: Sigma Known
8.4 Estimating Means: Sigma Unknown
8.5 Estimating Population Variance
  Chapter 8 Review and Test

  Chapter 9: Hypothesis Testing  
9.1 Fundamentals of Hypothesis Testing
9.2 Hypothesis Testing Proportions: P Value
9.3 Hypothesis Testing Proportions: z Value
9.4 Hypothesis Testing Means: P Value
9.5 Hypothesis Testing Means: z Value
9.6 Hypothesis Testing Means: t Value
9.7 Direct Mail
9.8 Type II Errors
9.9 Hypothesis Testing about a Population Variance
9.10 Chi-Square Test for Association
9.11 Chi-Square Test for Goodness of Fit
  Chapter 9 Review and Test
  Chapter 10: Hypothesis Testing (Two Populations)  
10.1 Hypothesis Testing - Two Proportions (Large Independent Samples)
10.2 Hypothesis Testing - Two Means (Sigma Known)
10.3 Hypothesis Testing - Two Means (Sigma Unknown)
10.4 Hypothesis Testing - Two Means (Dependent Samples)
10.5 Hypothesis Testing - Two Population Variances
  Chapter 10 Review and Test
  Chapter 11: Regression, Inference, and Model Building  
11.1 Scatter Plots and Correlation
11.2 Fitting a Linear Model
11.3 Regression Analysis I
11.4 Multiple Regression
11.5 ANOVA Regression
  Chapter 11 Review and Test
  Chapter 12: The Analysis of Variance (ANOVA)  
12.1 ANOVA
  Chapter 13: Quality Control Charts  
13.1 R-Charts
13.2 p-Charts
13.3 c-Charts
13.4 Mean Charts Using Range
13.5 Mean Charts Using s
  Chapter 13 Review and Test
  Appendix  
A.1 Introduction to Estimating Population Means
A.2 Comparing Two Proportions (Large, Independent Samples)
A.3 Comparing Two Means (Large, Independent Samples)
A.4 Comparing Two Means (Small, Independent Samples)
A.5 Comparing Two Means (Dependent Samples)
A.6 Comparing Two Population Variances
A.7 Fundamentals of Hypothesis Testing