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A survey was conducted of the age? (in years) of 40 randomly selected customers. The mean was 28.56 and the standard deviation was 10.38
?a) How large would the sample size have to be to cut the margin of error in? half?
?b) About how large would the sample size have to be to cut the margin of error by a factor of 20
?a) The new sample size should be
b) The new sample size should be
find the 98 confidence interval for the difference between two means based on this information about two samples.
Adam Shapiro, Director of Human Resources, is exploring employee absenteeism at Plain Power Plant. Ten per cent of all plant employees work in the finishing department; 20% of all plant employees are absent excessively; and 7% of all plant employees ..
A kitchen knife with a sharpness measure of at least 100 mm qualifies as a steak knife. What proportion of kitchen knives are steak knives?
a real estate investor is investigating whether the proportion of properties sold at auctions has declined from last
1.a large study was done to compare two treatments for recurring ear infections in young children. a total of 150
a computer virus is trying to corrupt two files. the first file will be corrupted with probability 0.4. independently
(a) At 95% con?dence level, test whether X and Y are independent. (b) Find the p-value. (c) State any assumptions you have made in solving the problem.
Past studies have indicated that the speeds at which both Nevada and California drivers drive have normal distributions.
Whether you use Microsoft Word or WordPerfect, save your document as .rtf (rich text format). Doing so ensures I will be able to open and read your document.
Suppose that n = 9, ¯X = 85 and the sample standard deviation is s = 2. Test H0: μ = 83 against H1 : μ ≠ 83, stating any assumptions made about the underlying population, and the testing procedure.
Find the value of W, the test statistic for a two sample rank-sum test that would compare the two methods for losing weight. Give the details of how you found W. Please show your step-by-step hand calculation here.
a. Combining the quarterly bookings for each year, fit a linear trend equation and forecast the number of bookings for 2013. b. Determine the seasonal indexes and break the 2013 forecast in part (a) into its quarterly components.
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