Subject | Mathematics |

Due By (Pacific Time) | 12/18/2016 12:00 am |

Two Discussion Questions-

1. Lecture Thirteen introduces you to confidence intervals. What is a confidence interval, and why do some prefer them to single point estimates? Ask your manager what is preferred and why? What are the strengths and weaknesses of using confidence intervals in making decisions? (This should be started on Day 1.)

**Part Two – Chi Square**

2. As Lecture Fourteen notes, the chi-square test is—in some ways—fundamentally different than the previous tests we have looked at. In what ways and why is this approach important? Examples were shown of gender-degree distributions and employees per grade. How do these tests help with understanding our equal pay for equal work question? Do they change or reinforce our decision from last week? What situations in your personal or professional lives could use a chi-square approach?

Project: 3 pages

The question to address is, what have you learned about statistics? In developing your responses, consider—at a minimum—and discuss the application of each of the course elements in analyzing and making decisions about data (counts and/or measurements).

The course elements include

- Descriptive statistics.
- Inferential statistics.
- Hypothesis development and testing.
- Selection of appropriate statistical tests.
- Evaluating statistical results.

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