1. This Week Homework 2 parts 1 and 2 due by 5pm today. Answer keys posted tonight. Midterm 2 on Thursday, bring 8 ½ by 11 inch note sheet. No calculator needed (no calculations). About 35 questions. Review Session on Wednesday. Practice problems on Tuesday.

2. Click to edit Master title style Euro Cup Round 2 Exercise (required) Use FIREFOX. Due by 5pm Tuesday. Complete at least 3 sample mean problems, one problem from each category. Do at least 10 of the Variable Trainer problems.

3. Click to edit Master title style Hypothesis Tests Only

4. Population Percentages: Planning the Study How many observations will I need to get an ‘accurate’ estimate of the population percentage? For example, suppose I wish to ‘know’ (estimate with 95% confidence) the true percentage of Calpoly students who live with their parents. If I want to have a margin for error of 2 points, how many students should I (randomly) sample?

5. Sample Size Calculator II (Population Percentage) Round UP this number

6. Population Percentages: Planning the Study How many observations will I need to get an ‘accurate’ estimate of the population mean? If I want to have a margin for error of 2 points, how many observations will I probably need?

7. Click to edit Master title style Preparing an Experiment: Quantitative Dependent Variable How many samples should you collect if: You want a 95% confidence interval on the population mean. You want it to be accurate within __ points ( E ). E E

8. Click to edit Master title style Sample Size Calculator Round UP this number

9. Click to edit Master title style Example If the standard deviation of a population is 0.83 inches, how many samples would be needed to obtain a 95% confidence interval whose total width is 0.2 inches wide (the upper bound minus the lower bound equals 0.2)?

10. Click to edit Master title style Sample Size Calculator Round UP this number

12. Click to edit Master title style Power and Effect Size Simulator True μ: True σ: Sample Size n: μ : H0H0H0H0 % times reject null: Significance level (α): p Value: Experiment has been run times.

13. Review The power of your hypothesis test is the probability of rejecting a false null hypothesis. It is 1. zero if your null hypothesis test is true. 2. unknown if your null hypothesis test is false (because we don’t know the effect size). 3. increasing with the effect size.