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

1.2 Level of Measurement

1.3 The Process of a Statistical Study

1.4 The Reality of Conducting a Study

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

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

3.1 Measures of Center

3.2a Measures of Dispersion

3.2b Applying the Standard Deviation

3.3 Constructing Samples

3.4 Measures of Relative Position

3.2a Measures of Dispersion

3.2b Applying the Standard Deviation

No video available.

3.3 Constructing Samples

3.4 Measures of Relative Position

4.1 Classical Probability

4.2a Probability Rules: Properties, the Complement, and Addition Rules

4.2b Probability Rules: Independence, Multiplication Rules, and Conditional Probability

4.3 Counting Rules

4.4 Additional Counting Techniques

4.2a Probability Rules: Properties, the Complement, and Addition Rules

4.2b Probability Rules: Independence, Multiplication Rules, and Conditional Probability

4.3 Counting Rules

4.4 Additional Counting Techniques

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

5.2 The Binomial Distribution

5.3 The Poisson Distribution

5.4 The Hypergeometric Distribution

5.5 Games of Chance

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

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

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

No video available.

7.2 Sampling Distributions: Proportions

7.3 Sampling Distributions: Means

7.4 Approximating the Binomial Distribution Using the Normal Distribution

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

8.2 Introduction to Estimating Population Means

8.3 Estimating Means: Sigma Known

8.4 Estimating Means: Sigma Unknown

8.5 Estimating Population Variance

9.1a Fundamentals of Hypothesis Testing and Types of Errors

9.1b Type II Errors

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 Hypothesis Testing about a Population Variance

9.9 Chi-Square Test for Association

9.10 Chi-Square Test for Goodness of Fit

9.1b Type II Errors

No video available.

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 Hypothesis Testing about a Population Variance

9.9 Chi-Square Test for Association

9.10 Chi-Square Test for Goodness of Fit

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

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

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

11.2 Fitting a Linear Model

11.3 Regression Analysis I

11.4 Multiple Regression

11.5 ANOVA Regression

13.1 R-Charts

13.2 p-Charts

13.3 c-Charts

13.4 Mean Charts Using Range

13.5 Mean Charts Using s

13.2 p-Charts

13.3 c-Charts

13.4 Mean Charts Using Range

13.5 Mean Charts Using s

A.1 Comparing Two Proportions (Large, Independent Samples)

A.2 Comparing Two Means (Large, Independent Samples)

A.3 Comparing Two Means (Small, Independent Samples)

A.4 Comparing Two Means (Dependent Samples)

A.5 Comparing Two Population Variances

A.2 Comparing Two Means (Large, Independent Samples)

A.3 Comparing Two Means (Small, Independent Samples)

A.4 Comparing Two Means (Dependent Samples)

A.5 Comparing Two Population Variances