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Dr Zak developed a test to measure depression. He sampled 100 university students to take his five item test. The group of students was comprised of 30 men and 70 women. In this group four persons were African American, six persons were Hispanic and one person was Asian. There were five yes/no questions Yes =1 and No =0. The five items are summed giving a total score of 5, where the mean was 3.5 and the standard deviation is .5.
Billy scores a 5, what is his standard score ?
What is the best prediction for the number of products sold based on advertising costs of $7000?
Think of a case in which regression analysis was used, but not properly. For instance, discuss situations in which regression analysis is not appropriate and does not add useful information to our understanding of a set of data.
The results of a published research study indicated that babies fed on breast milk gained an average of 11 ounces per week; babies fed a powdered instant baby formula gained an average of 2 ounces per week.
What is the probability that a simple random sample of 40 male graduates will provide a sample mean within $10,000 of the population mean, $168,000 (to 4 decimals)?
Assume that the number of calories in 12-ounce soda cans is normally distributed. State the null and alternative hypotheses to test the manufacturer claim.
The nicotine patch group had abstained from smoking, as 87 in the patch plus drug group. is this good evidence that adding bupropion increases the success rate?
The only difference is that the first group is comprised of athletic persons and the second of non-athletic ones.
Political polls typically sample randomly from the U.S population to investigate the percentage of voters who favor some candidate or issue. The number of people polled is usually on the order of 1000.
Historical data suggests a standard deviation in the first sample of 10 and a standard deviation in the second sample of 16. Find a 95% confidence interval for the population difference.
Develop a forecast of enrollment next semester using exponential smoothing with a a= 0.2. Assume that an initial forecast for the first semester was 120 (so the forecast and the actual were the same.)
Normally distributed with a=2.6inches, answer the following questions. What is the percentile rank of a 20 to 29 year old female who is 60 inches tall?
A sample of size 9 is drawn at random from a Normal distribution. The experiment has a null hypothesis of μ = 0 and an alternate hypothesis of μ > 0. The mean of the sample is 7 with an s of 8. Is there a difference at the 1% level?
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