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A researcher is testing the effectiveness of a new herbal supplement that claims to imrpvoe memory performance. a sample of n=25 college students is obtained an each student takes the supplement daily for six weeks. At the end of the 6-week period, each student is given a standardized memory test, and the average score for the sample is M=39. For the general population of college students, the distribution of test scores is mui=35 and a standard deviation of 15. Do students taking the supplement have significantly better memory scores? Use a one-tailed t-test with an alpha=0.05.
Suppose you take a random sample of 25 from a lot of 1,000 items but later realize that you should have selected a sample of 40 items instead. How do you correct this error?
Markups on Supertrex seen at other local stores range from 20% to 45%, Kruger decides that its markup had best be in this range as well. Formulate as an LP Problem.
The State Transportation Department is interested in estimating the proportion of vehicle owners that are operating vehicles without the required liability insurance.
Name the inferential statistical test that would be used for the method of training and why?
Calculate the population mean and compare it to the mean of the sampling distribution.
How might one know if an error was made in accepting or rejecting the null hypothesis? Do you suppose the nature of the research has an influence on the selection of the significance level? Why or why not?
What is the smallest number of consumers that Timex can survey to guarantee a margin of error of .05 or less at a 99% confidence level and calculate the intervals correctly
If historical time series data is very limited, what type of forecasting approach would be useful.
The sales of the bicycle (in thousands of dollars) and also the levels of media expenditure (in thousands of dollars) during the test month are recorded. State the multiple regression equation.
It took a contractor 5000 hours to manufacture their first unit of an item. If the contractor expects to achieve a 94% unit learning curve, how many hours would be required to manufacture units 76-100?
What is your conclusion regarding null hypothesis?
Suppose that, in a sample of 200, we observe 140 successes. Is this sufficient evidence at the 1% significance level to indicate the the population proportion of successes is greater than 65%
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