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Do you think an F-ratio of 1 would lead you to conclude that there is no treatment effect? Why? Justify your answers with examples.
How do we use a least squares regression line? What is the range for the coefficient of determination?
Explain why it makes sense for a set of data to have a correlation coefficient of zero when the data show a very definite pattern.
Frequently, tests tha yeild abnormal results are repeated for confirmation. What is the probability that for a normal person a test will be at least 1.5 times as high as the upper limit of normal on two seperate occasions.
The Republican party is interested in studying the number of Republicans that might vote in a particular Congressional district. Assume that the number of voters is binomially distributed by party affiliation (either Republican or not Republican).
10 people taste wine A and wine B, X= denote the number prefer A. Assume that all others prefer B. These people random sample..
Recall that the trash bag manufacturer has concluded that its new 30 gallon bag will be the strongest such bag on the market if its mean breaking strength is at least 50 pounds.
A random sample of five accidents resulted in the following number of persons injured: 18, 15, 12, 19, & 21. Using the .01 significance level, can we conclude the population mean is less than 20 for all accidents?
In part b, the sample have greater variability than part a, but the sample sizes are unchanged. how does the larger variability affect the size of the standard error for the sample mean?
Create a 95% confidence interval for the population mean days absent for sickness based on this sample. Select the answer closest to your results.
You are considering adding a new food product to your store for resale. Explain how many units of the new product should be purchased for resale.
A sociologist wishes to conduct a poll to estimate the percentage of Americans who favor affirmative action programs for women and minorities for admissions to colleges and universities.
Find out 90% confidence interval for the population average µ of the percentage of hospitals providing at least some charity care.
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