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Week 3 DQ 1
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What are the characteristics of a normal probability distribution function (pdf).
What is the standard normal pdf? How is it related to the normal pdf and why is it useful?
Explain the Empirical Rule? Is it used for rough estimates or precise calculations?
Briefly tell how to use Table A-2 in the Appendix of our text to calculate z-values (Triola, 2006). How is area under the standard normal curve related to probability? Is the table arranged so that probability is cumulative from the left or from the right?
Briefly tell how Statdisk may be used to give even more accurate table values (Statdisk>> Analysis >> Probability Distributions >> Normal Distribution).
Week 3 DQ 2
Precisely, in simple language, what is a confidence interval?
What is the difference between a statistic that is a point estimator and one that is an interval estimator? When might you prefer an interval estimator over a point estimator?
What is a confidence level with respect to a confidence interval?
What is a critical value and why is it important?
What happens to the margin of error for a confidence interval when the sample size is increased? How is the margin of error related to the width of the confidence interval? State this relationship in mathematical terms.
What happens to the width of the confidence interval if the confidence level is increased from 95% to 99%? That is, does the width increase or decrease? Why?
What happens to the width of the confidence interval if n, the size of the sample, is increased? Why?
For additional participation credit, also comment within the thread of the message posted in the Main Forum: Example: Using Statdisk to Find a Confidence Interval
