Unit 2: Modeling One-Variable Quantitative Data
Duration of Days: 20
What a z-score measures (relative standing) and how the Empirical Rule (68-95-99.7) describes Normal data.
How adding or multiplying constants transforms the mean and standard deviation of a dataset.
Calculate proportions and percentiles using Normal distribution tools (Table A or technology).
Construct and interpret Normal probability plots to assess if a model is appropriate.
5A. Summarize, represent, and interpret data on a single count or measurement variable.
| Lesson # | Lesson Title | Duration of Days |
|---|---|---|
| 1 | 2.1 Describing Location in a Distribution | 2 |
| 2 | 2.2 Transforming Data | 3 |
| 3 | 2.3 Density Curves and the Normal Distribution | 4 |
| 4 | 2.4 The Empirical Rule and Assessing Normality | 3 |
| 5 | 2.5 Normal Distributions: Finding Areas from Values | 3 |
| 6 | 2.6 Normal Distributions: Finding Values from Areas | 3 |
| 7 | Review and Assessment | 2 |