Beginning Statistics

4.1 Introduction to Probability

4.2 Addition Rules for Probability

4.3 Multiplication Rules for Probability

4.4 Combinations and Permutations

4.5 Combining Probability and Counting Techniques

6.1 Introduction to the Normal Distribution

6.2 Finding Area Under a Normal Distribution

6.3 Finding Probability Using a Normal Distribution

6.4 Finding Values of a Normally Distributed Random Variable

6.5 Approximating a Binomial Distribution Using a Normal Distribution

8.1 Estimating Population Means (Sigma Known)

8.2 Student's t-Distribution

8.3 Estimating Population Means (Sigma Unknown)

8.4 Estimating Population Proportions

8.5 Estimating Population Variances

9.1 Comparing Two Population Means (Sigma Known)

9.2 Comparing Two Population Means (Sigma Unknown)

9.3 Comparing Two Population Means (Sigma Unknown, Dependent Samples)

9.4 Comparing Two Population Proportions

9.5 Comparing Two Population Variances

10.1 Fundamentals of Hypothesis Testing

10.2 Hypothesis Testing for Population Means (Sigma Known)

10.3 Hypothesis Testing for Population Means (Sigma Unknown)

10.4 Hypothesis Testing for Population Proportions

10.5 Hypothesis Testing for Population Variances

10.6 Chi-Square Test for Goodness of Fit

10.7 Chi-Square Test for Association

11.1 Hypothesis Testing: Two Population Means (Sigma Known)

11.2 Hypothesis Testing: Two Population Means (Sigma Unknown)

11.3 Hypothesis Testing: Two Population Means (Sigma Unknown, Dependent Samples)

11.4 Hypothesis Testing: Two Population Proportions

11.5 Hypothesis Testing: Two Population Variances

11.6 ANOVA (Analysis of Variance)