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Statistical Probabilities and Distributions

Odd Solutions for Stat. Prob./Dist. Homework 13

  1. Given a sample mean of 14.2 and a sample standard deviation of 2.74 (with n=27), calculate the margin of error (assume a 95% confidence interval will be generated).

      Answer: 1.96 • 2.74 ÷ sqrt(27) = 1.03

  2. Given a sample mean of 14.2 and a sample standard deviation of 2.74 (with n=27), calculate the margin of error (assume a 99% confidence interval will be generated). The appropriate z-score is 2.576.

      Answer: 2.576 • 2.74 ÷ sqrt(27) = 1.36

  3. A P-value is a way to express the confidence of our results. For a one-tailed test, it is the area under the curve to the right (or left) of our observed mean. Calculate a z-score using our observed mean (14.2), expected mean (10.0), and standard error (2.74/sqrt(27)) and sketch this region on a normal curve.

      Answer: (14.2 - 10.0)/(2.74 / sqrt(27)) = 7.96

  4. Alpha is the term used to express the level of significance we will accept. For 95% confidence, alpha=0.05. If our P-value is less than alpha, we can reject our null hypothesis (H0: µ=10). Should we reject our null?

      Answer: YES!

  5. Do you think other coins might display similar characteristics? How many times would you have to test it to reach a significant conclusion.

      Answer: That depends on how much the results differ from 50-50.

  6. How willing are you to bet money using this method of "flipping" a coin (assuming you have no scruples against such an activity)?

      Answer: $50? It does seem to be a fairly good bet!

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