Your report should analyze the data distribution(s) graphically and with summary statistics. It should also have at least two significance tests and a confidence interval.

The following is a list of acceptable tests:

- regression line and equation; correlation
- one-sample t-test
- one-sample t confidence interval
- matched-pairs t-test
- two-sample t-test
- two-sample t confidence interval
- F-test for variances
- ANOVA
- one-sample z test for proportions
- one-sample z confidence interval for proportions
- two-sample z test for proportions
- two-sample z confidence interval for proportions
- chi-square

Your report should analyze the data distribution(s) graphically and with summary statistics. It should also have at least two significance tests and a confidence interval.

Explain what tools you will use to describe the data. Decide which of the tests would best analyze your data. List those tests, state H0 and H1, and describe exactly what you expect to learn from each test. If your data distribution is extremely non-Normal, check whether tests you are proposing would be usable.

Subject | Mathematics |

Due By (Pacific Time) | 04/08/2014 11:00 pm |

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