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Greenston coffee is experiencing financial problems because of competition. Total sales revenue has dropped by 15% and the company wished to establish a sales monitoring process to identify shops that are under-performing. Historically the daily mean sales for a shop has been $11,500 with a variance of 4,000,000. Their monitoring plan will take a random sample of 5 days sales per month and use the sample mean sales to identify shops that are under-performing. Establish the lower limit sales such that only 5% of the shops would have a sample sales mean below this value.
Construct the 95 percent confidence interval for the difference between the two population means.
The best estimator or appreciative for the population proportion is 0.45. How large must the sample be?
We want to estimate the population mean within 5, with a 99 percent level of confidence. The population standard deviation is estimated to be 15. How large a sample is required?
Elucidate the null and alternative hypothesis for the difference among the two means. In testing the difference between the means of two.
A sample of 40 decaffeinated-coffee drinkers showed a mean of 5.84 cups per day, with a standard deviation of 1.36 cups per day. Use the .01 significance level. Compute the p-value.
At the .05 significance level, can we conclude that the mean waiting time is less than 3 minutes?
Study is conducted as to whether there is relationship between joggers and consumption of nutritional supplements.
Using the .01 significance level you will test to conclude if the analyst finds evidence that the boast of dealership A is correct. What will be your critical value?
Suppose that the mean systolic blood pressure of normal adults is 120 millimeters of mercury (mm Hg) and the standard deviation is 5.6. Assume the variable is normally distributed.
It has been claimed that women live longer than men; however, men tend to be older than their wives. Ages of sixteen husbands and wives from England were obtained. These data should be analyzed with a
From the given research, compare the major players better at batting than 20 years ago using five step hypothesis.
Evaluate the factor effects. Find out which factors are significant in explaining yield.
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