2.1 - 2.4 The Reality of Conducting a Study

2.5 - 2.6 Levels of Measurement and Data Classifications

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

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

4.2a Measures of Dispersion

4.2b Constructing Samples

4.3 Measures of Relative Position

4.5 - 4.7 Applying the Standard Deviation

No video available.

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

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

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

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 Sampling Distributions Simulation

8.3 The Distribution of the Sample Mean

8.4 The Distribution of the Sample Proportion

No video available.

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

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

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

11.2 Comparing Two Population Means: Small Samples, Sigma Unknown

11.3 Paired Difference

11.4 Comparing Two Population Proportions

13.1 - 13.5 Fitting a Linear Model

13.8 Regression Analysis

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

14.5b ANOVA Regression

14.7 Models with Qualitative Independent Variables

No video available.

15.2 Chi-Square Test for Goodness of Fit

15.3 Chi-Square Test for Association Between Two Qualitative Variables

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

17.3b Monitoring with an

17.4 Monitoring with a

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

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.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

A.9 Comparing Two Population Variances: Hypothesis Testing

A.10 Direct Mail

A.11 Type II Errors

No video available.

A.12 Curvilinear Regression

No video available.

A.13 Interaction Terms in Regression

No video available.

A.14 c-Charts

A.15 Mean Charts Using s