1. 10.2 – Inferences About the Difference of Two Means µ 1 - µ 2 Two samples are independent if the selection of sample data from one population is completely unrelated to the selection of sample data from the other population. Independent samples occur very naturally when we draw two random samples, one from the first population and one from the second population. There is no pairing of measurements between the two populations. Our null hypothesis is that µ1 = µ2 (or µ1 - µ2 = 0)

2. Guided Exercise #3 As whole group, turn to page 430 – Look-over answers – Whole group clarification

3. Testing Our null hypothesis is that µ1 = µ2 (or µ1 - µ2 = 0) If H1: µ1 < µ2, then it's a left-tailed test. (µ1 - µ2 < 0) If H1: µ1 > µ2, then it's a right-tailed test. (µ1 - µ2 > 0) If H1: µ1 ? µ2, then it's a two-tailed test. (µ1 - µ2 ≠ 0)

4. Hypothesis Tests for Confidence Intervals for µ 1 - µ 2 ( ơ 1 - ơ 2 known)

5. How to Test µ 1 - µ 2 ( ơ 1 - ơ 2 known)

6. Confidence Interval for µ 1 - µ 2

7. Guided Exercise #4 As whole group, turn to page 435 – Look-over answers – Whole group clarification

8. How to Test µ 1 - µ 2 ( ơ 1 & ơ 2 unknown)

9. Confidence Interval for µ 1 - µ 2

10. Guided Exercise #5 As whole group, turn to page 439 – Look-over answers – Whole group clarification

11. Checkpoint  Green olives

12. Homework Read Pages 429-443 – Take notes on what we have not covered Do Problems – Page 443-449 (1-12) ALL Check odds in back of book Read and preload 10.3 information – Notes/vocab