Friday, February 17, 2012

Chapter 23 Guiding Questions

1) What is the central limit theorem and why is it important in statistics?

2) What is a t distribution (Student's t-model)? What does a t distribution look like?

3) Why do we use a t-distribution for means instead of z?

4) What is a "degree of freedom" and why is this important with t-distributions?

5) How do you find a probability for a t-distribution in your calculator (Hint: for proportions we used normalcdf)?

6) How do you find a t critical value in the calculator?

7) What assumptions and conditions need to be met before we can use a t-model to run a hypothesis test or a confidence interval?

8) What should your conclusion be when interpreting a confidence interval for a t-distribution (give an example)?

9) What formula do you use when trying to figure out the sample size for a t-distribution? How can we find the t-critical value in this formula if we don't know our sample size?

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