1. Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition

2. In chapter 16, we cover … The reasoning of statistical estimation Margin of error and confidence level Confidence intervals for a population mean How confidence intervals behave 2

3. Statistical inference 3 Population Sample Collect data from a representative Sample... Make an Inference about the Population. After we have selected a sample, we know the responses of the individuals in the sample. However, the reason for taking the sample is to infer from that data some conclusion about the wider population represented by the sample. STATISTICAL INFERENCE Statistical inference provides methods for drawing conclusions about a population from sample data.

4. Simple conditions for inference about a mean 4

5. The reasoning of statistical estimation

6. The reasoning of statistical estimation, cont’d

7. Confidence interval 7

8. Confidence level 8

9. Confidence intervals for a population mean 9 Confidence level C90%95%99% Critical value z*1.6451.9602.576

10. Confidence intervals: the four-step process 10 The steps in finding a confidence interval mirror the overall four- step process for organizing statistical problems. CONFIDENCE INTERVALS: THE FOUR-STEP PROCESS State: What is the practical question that requires estimating a parameter? Plan: Identify the parameter, choose a level of confidence, and select the type of confidence interval that fits your situation. Solve: Carry out the work in two phases: 1. Check the conditions for the interval that you plan to use. 2. Calculate the confidence interval. Conclude: Return to the practical question to describe your results in this setting.

11. How confidence intervals behave