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The average adult male is 69 inches tall and the population standard deviation is 3 inches. We believe that the men that work at our company tend to be taller than average. We sample 32 men and their average height is 70.5 inches. Is this enough evidence to suggest that the men at our company are taller than average? Use a significance level of .01.
Is there any evidence to suggest the mean water table is less than 12.4 feet? Assume the underlying distribution is normal, σ = 0.07 and use a = 0.025.
a) How many multiplications are necessary to find the determinants of matrices which are 2x2, 3x3, 4x4? b) The number of multiplications for an nxn matrix may be found in terms of the number for an (n-1)x(n-1) matrix. FIND THIS FORMULA and use it to ..
After performing a two sample t-test, you see a p-value of 0.0355. Of the following, which is the appropriate conclusion?
Construct the corresponding prediction interval for an individual home. Interpret both intervals.
Let X denote the time to failure (in years) of a certain hydraulic component. Suppose the pdf of X is a. Verify that f (x) is a legitimate pdf.
Find two values, equidistant from 0 on either side, such that the probability that a standard normal random variable will be between them is 0.40.
How large a random sample must be taken from a given distribution in order for the probability to be at least 0.99 that the sample mean will be within 2.
At the Diabetes Institute, patients are classified as compliant (they take their medication as they should) or not (they don't).
The amphitheater operators believe that 9000 people is the optimal attendance in terms of comfort and profit. Is there any evidence to suggest that the true mean attendance is different from 9000?
Tthe mean amount of paint per 1-gallon can is 1.00 gallons. Use a significance level of 0.05. Is (are) the critical region(s) for this test in the left tail, right tail, or both tails?
give an example of how you may use a correlation or simple regression to examine the relationship between two variables
Compute the test statistic for the goodness of fit test. At 95% confidence using the p-value approach, test the hypotheses. What do you conclude about the distribution?
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