Alexander Halperin

15.1–15.3: Non-Parametric Tests (Sign, Mann-Whitney, and Wilcoxon)

11.1: Hypothesis Tests for Independent Samples

11.2: Hypothesis Tests for Paired Samples

9.3: Hypothesis Tests When Population Standard Deviation is Unknown

9 1–9 2 (ii): Hypothesis Tests with Known Population Standard Deviation (ctd.)

9.1–9.2 (i): Hypothesis Tests with Known Population Standard Deviation

10.2: Confidence Intervals for Two Sample Data: Matched Pairs

10.1: Confidence Intervals with Independent Samples

8.1 (b): Confidence Intervals When Std Dev Is Known (ctd.)

8.1 (a): Confidence Intervals When Std Dev Is Known

8.2: Confidence Intervals When Sigma is Unknown

7.6: Assessing Normality

7.3: The Central Limit Theorem

7.2: The Normal Distribution

7.1: The Standard Normal Curve

6.2: The Binomial Distribution

6.1: Discrete Probability Distributions

3.3: Measures of position

3.2: Measures of spread

3.1 (2): Approximating the mean of grouped data

3.1 (1): Measures of Center

2.1: Graphs for qualitative data

2.2: Graphs of qualitative data

1.4: Avoiding Bias

1.3: Experimental design

MATH 155-450/515 Syllabus Video

1.2: Data types

1.1: Samples

5.3 Guided Practice

5.4 Lecture