Discovering Business Statistics

2.1 - 2.4 The Reality of Conducting a Study

2.5 - 2.6 Levels of Measurement and Data Classifications

3.3 Graphical Displays of Data: Pie Charts and Bar Graphs

3.4 Frequency Distributions

3.5 - 3.9 Graphical Displays of Data: Line Graphs, Histograms, and Stem-and-Leaf Displays

3.10 Analyzing Graphs

4.1 Measures of Location

4.2a Measures of Dispersion

4.2b Constructing Samples

4.3 Measures of Relative Position

4.5 - 4.7 Applying the Standard Deviation

4.8 Scatterplots and Correlation

5.1 - 5.2 Classical Probability

5.4 Probability Rules: Properties, Complement, and Addition Rules

5.5 - 5.6 Probability Rules: Independence, Multiplication Rules, and Conditional Probability

5.8a Basic Counting Rules

5.8b Additional Counting Techniques

6.1 - 6.3 Discrete Random Variables

6.5 The Binomial Distribution

6.6 The Poisson Distribution

6.7 The Hypergeometric Distribution

7.2 Introduction to the Normal Curve

7.3a Reading a Normal Curve Table

7.3b The Normal Distribution

7.3c z - Transformations

7.4 Approximations to Other Distributions

8.1 - 8.2 Random Samples and Sampling Distributions

8.3 The Distribution of the Sample Mean

8.4 The Distribution of the Sample Proportion

9.1 - 9.3 Interval Estimation of the Population Mean

9.4a Student's t-Distribution

9.4b Interval Estimation of the Population Mean: Small Samples, Sigma Unknown

9.5 Precision and Sample Size: Means

9.6 - 9.7 Estimating the Population Proportion

10.1 - 10.3 Developing a Hypothesis and Reaching a Conclusion

10.4a Testing a Hypothesis about a Population Mean (z-Value)

10.4b Testing a Hypothesis about a Population Mean (t-Value)

10.4c Testing a Hypothesis about a Population Mean (P-Value)

10.7a Testing a Hypothesis about a Population Proportion (z-Value)

10.7b Testing a Hypothesis about a Population Proportion (P-Value)

10.8a Interval Estimation about a Population Variance

10.8b Testing a Hypothesis about a Population Variance

11.1 Comparing Two Population Means

11.2 Comparing Two Population Means: Small Samples, Sigma Unknown

11.3 Paired Difference

11.4 Comparing Two Population Proportions

12.2 - 12.4 ANOVA

13.1 - 13.5 Fitting a Linear Model

13.8 Regression Analysis

14.5a Inference Concerning the Multiple Regression Model and its Coefficients

14.5b ANOVA Regression

14.7 Models with Qualitative Independent Variables

15.2 Chi-Square Test for Goodness of Fit

15.3 Chi-Square Test for Association Between Two Qualitative Variables

17.3a Monitoring with an x-Bar Chart

17.3b Monitoring with an R Chart

17.4 Monitoring with a p Chart

A.1 The Process of a Statistical Study

A.2 Games of Chance

A.3 Name that Distribution

A.4 Comparing Two Population Means: Interval Estimation

A.5 Comparing Two Population Means: Interval Estimation (Small Samples, Sigma Unknown)

A.6 Paired Difference: Interval Estimation

A.7 Comparing Two Population Proportions: Interval Estimation

A.8 Comparing Two Population Variances: Interval Estimation

• Examples
• Example A8.1: Calculating the Point Estimate for Comparing Two Population Variances and Finding Critical F-Values
• Example A8.2: Constructing a Confidence Interval for the Ratio of Two Population Variances
• Example A8.3: Constructing a Confidence Interval for the Ratio of Two Population Standard Deviations

A.9 Comparing Two Population Variances: Hypothesis Testing

A.10 Direct Mail

A.11 Type II Errors

A.12 Curvilinear Regression

A.13 Interaction Terms in Regression

A.14 c-Charts

A.15 Mean Charts Using s

A.16 Working with Probability Density Functions