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A sample is selected from a population with a mean of =40 and a standard deviation of 8. If the sample has n=4 scores, what is the expected value of M and the standard error of M?
We want to test a hypothesis at the .01 level of significance. Based on your computations, would we reject or fail to reject the null hypothesis?
Why is population shape of concern when estimating a mean? What does sample size have to do with it?
There is an advantage in stating the hypothesis both in the null and in the alternative; it adds clarity to our thinking of what we are testing. Explain.
How many statistics professors must be randomly selected for IQ tests if we want 99% confidence that the sample mean is within 2 IQ points of the population mean?
Compute the population attributable risk for smoking and lung cancer.
If only one spark plug fails, the plane will shake and not climb higher, but it can be landed safely. What is the probability that this happens? Calculate using the appropriate formula.
What is the correlation, and why is it so high? Since all of the guessed weights were higher than the actual weights, does that influence the correlation at all?
Conduct a hypothesis test of to see whether the 2001 sample data indicate that the variability in interest rates has changed. Use . What is your conclusion?
What are the differences between a two sample t-test and ANOVA hypothesis testing? What is an example of a research idea that would need to be analyzed using an ANOVA?
Illustrate for what value does probability XYZ will offer a competing product will ABC be indifferent among the alternatives.
Conduct all steps of the hypothesis test. Remember to include hypotheses, test statistic, decision, and conclusion.
Suppose you are given the following estimated regression equation: Debt Ratio = 4000 + .20 Cash Flow. If the t-stat for the slope estimate is 3.25, what can you conclude?
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