Chapter 24: Comparing Means (when groups are independent)

1. Chapter 24: Comparing Means (when groups are independent) AP Statistics

2. Sampling Distribution for the Difference of Two Means (when groups are independent)

3. Sampling Distribution for the Difference of Two Means (when groups are independent) Formula for degrees of freedom when comparing means of independent groups The calculator will compute this for you

4. Assumptions and Conditions Independence Assumption: • Randomization Condition • 10% Condition Normal Population Assumption: Need to check each group for normality. SHOW GRAPH. Nearly Normal Condition Independent Groups Assumption Just check for reasonability (this is very important)

5. Two-Sample t-interval

6. Two-Sample t-test

7. Example Below are the saturated fat content (in grams) for several pizzas sold by two national chains. Create a 95% confidence interval for the difference in the means for the saturated fat content of the two brands.

8. Example In order to create a two-sample t-test, I first need to satisfy the Independent Sample Assumption, the Normal Population Assumption and the Independent Group Assumption. To satisfy these, I will need to satisfy the following conditions

9. Example To satisfy the Independent Samples Assumption, we need to satisfy the below: Randomization Condition:We can assume that the pizzas from each company were picked at random 10% Condition: We assume that the 20 and 15 pizzas are both less than 10% of the pizzas made by each company

10. Example To satisfy the Normal Population Condition, I can satisfy the Nearly Normal Condition(remember how sample size plays a role in what we look for) Both distributions of saturated fat roughly unimodal and symmetric. Brand D Brand PJ

11. Example To satisfy the Independent Groups Assumption, I can assume that the groups are independent. There is no reason to think that the fat content in Brand D is not independent from the fat content in Brand PJ. Since all the Assumptions and Conditions have been met, we can use a t-distribution with 32.757 degrees of freedom and create a two-sample t-interval.

12. Example

13. Example

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15. Example We are 95% confident that the true mean fat content of Brand D is between 2.73 and 6.71 grams higher than the true mean fat content for Brand PJ.

16. Example Do the pizza chains have significantly different mean saturated fat contents? Conduct a hypothesis test.