2.1 - 2.4 The Reality of Conducting a Study

2.5 - 2.6 Levels of Measurement

2.5 - 2.6 Levels of Measurement

ch 3a Frequency Distributions

ch 3b Graphical Displays of Data: Pie Charts and Bar Graphs

ch 3c Graphical Displays of Data: Histograms, Polygons, Stem and Leaf Plots

ch 3d Analyzing Graphs

ch 3b Graphical Displays of Data: Pie Charts and Bar Graphs

ch 3c Graphical Displays of Data: Histograms, Polygons, Stem and Leaf Plots

ch 3d Analyzing Graphs

4.1 - 4.3a Measures of Location

4.1 - 4.3b Measures of Dispersion

4.1 - 4.3c Constructing Samples

4.4 Measures of Relative Position

4.5 - 4.10 Applying the Standard Deviation

4.1 - 4.3b Measures of Dispersion

4.1 - 4.3c Constructing Samples

4.4 Measures of Relative Position

4.5 - 4.10 Applying the Standard Deviation

No video available.

5.2 - 5.5 Scatter Plots and Correlation

5.6 - 5.9 Fitting a Linear Model

5.6 - 5.9 Fitting a Linear Model

6.1 - 6.4 Classical Probability

6.5 - 6.9 Probability Rules: Properties, the Complement, and Addition Rules

6.10 - 6.11 Probability Rules: Independence, Multiplication Rules, and Conditional Probability

6.12a Basic Counting Rules

6.12b Additional Counting Techniques

6.5 - 6.9 Probability Rules: Properties, the Complement, and Addition Rules

6.10 - 6.11 Probability Rules: Independence, Multiplication Rules, and Conditional Probability

6.12a Basic Counting Rules

6.12b Additional Counting Techniques

7.1 - 7.4 Discrete Random Variables

7.7 The Binomial Distribution

7.8 The Poisson Distribution

7.9 The Hypergeometric Distribution

7.7 The Binomial Distribution

7.8 The Poisson Distribution

7.9 The Hypergeometric Distribution

8.3a Introduction to the Normal Curve

8.3b Reading a Normal Curve Table

8.4a The Normal Distribution

8.4b z - Transformations

8.5 Approximations to Other Distributions

8.3b Reading a Normal Curve Table

8.4a The Normal Distribution

8.4b z - Transformations

8.5 Approximations to Other Distributions

9.1 Sampling Distributions Simulation

9.6 Sampling Distributions (Means)

9.7 Sampling Distributions (Proportions)

No video available.

9.6 Sampling Distributions (Means)

9.7 Sampling Distributions (Proportions)

10.1 - 10.4 Interval Estimation of the Population Mean

10.5a Student's t-Distribution

10.5b Interval Estimation of the Population Mean for a Normal Population with Sigma Unknown

10.6 Precision and Sample Size

10.7 - 10.9 Estimating Population Attributes

10.5a Student's t-Distribution

10.5b Interval Estimation of the Population Mean for a Normal Population with Sigma Unknown

10.6 Precision and Sample Size

10.7 - 10.9 Estimating Population Attributes

11.1 - 11.3 Developing a Hypothesis and Reaching a Conclusion

11.4a Hypothesis Testing Means (P Value)

11.4b Hypothesis Testing Means (z Value)

11.4c Hypothesis Testing Means (t Value)

11.4a Hypothesis Testing Means (P Value)

11.4b Hypothesis Testing Means (z Value)

11.4c Hypothesis Testing Means (t Value)

12.1a Hypothesis Testing Proportions (P Value)

12.1b Hypothesis Testing Proportions (z Value)

12.2 Testing Hypothesis about a Population Variance

12.3a Comparing Two Means (Large Independent Samples)

12.3b Comparing Two Means (Small Independent Samples)

12.4 Paired Difference

12.5 Comparing Two Population Proportions

12.1b Hypothesis Testing Proportions (z Value)

12.2 Testing Hypothesis about a Population Variance

12.3a Comparing Two Means (Large Independent Samples)

12.3b Comparing Two Means (Small Independent Samples)

12.4 Paired Difference

12.5 Comparing Two Population Proportions

13.2 - 13.4 Regression Analysis I

13.8a Inference Concerning the Coefficients of the Multiple Regression Model

13.8b ANOVA Regression

13.8a Inference Concerning the Coefficients of the Multiple Regression Model

13.8b ANOVA Regression

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

17.3 Monitoring with an x-bar Chart

17.4 Monitoring with an R Chart

17.5 Monitoring with a p Chart

17.4 Monitoring with an R Chart

17.5 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 Means (Large, Independent Samples)

A.5 Comparing Two Means (Small, Independent Samples)

A.6 Comparing Two Means (Dependent Samples)

A.7 Comparing Two Proportions (Large, Independent Samples)

A.8 Comparing Two Population Variances

A.9 Direct Mail

A.2 Games of Chance

A.3 Name that Distribution

A.4 Comparing Two Means (Large, Independent Samples)

A.5 Comparing Two Means (Small, Independent Samples)

A.6 Comparing Two Means (Dependent Samples)

A.7 Comparing Two Proportions (Large, Independent Samples)

A.8 Comparing Two Population Variances

A.9 Direct Mail

A.10 Type II Errors

A.11 Hypothesis Testing - Two Population Variances

A.12 Estimating Population Variance

A.13 c-Charts

A.14 Mean Charts Using s

No video available.

A.11 Hypothesis Testing - Two Population Variances

A.12 Estimating Population Variance

A.13 c-Charts

A.14 Mean Charts Using s