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Determine the critical region and critical values for z that would be used to test the null hypothesis at the given level of significance, as described in each of the following:
Ho:mean less than or = to 82 and Ha:mean is greater than 82, a=0.10
Ho:mean=44 and Ha:mean is not equal to 44, a =0.01
Ho:mean greater than or = to 17 and Ha:mean is less than 17, a=0.05
A cola dispensing machine is set to depense 9 ounces per cup with a standard deviation of .5 oz .THe manufacturer would like to set the control limits so that for samples of 16,
Calculate a 95% confidence interval for the population mean, based on the sample 10, 12, 13, 14, 15, 16, and 49. Change the number from 49 to 16 and recalculate the confidence interval. Using results, explain the effect of an outlier or extreme ..
He measures the heights of 25 men from this century and finds the mean and standard deviation for his sample.
CAPM and Expected return. If the risk-free rate is 6 percent and the expected rate of return on the market portfolio is 14 percent, is a security with a beta of 1.25 and an expected rate of return of 16 percent overpriced or under priced?
John conducted his study to measure self-esteem among victims of domestic violence before and after they complete an 8-week program for abuse victims with 10 individuals.
It has been evaluated that 30% of all farms are family-owned. In sample of 12 farms, determine the probability that exactly 3 farms are family owned?
Sample with size n = 100 has mean = 30. Assuming the population standard deviation is 8, construct 95% confidence interval for population mean.
Kind of examination produced significant main effects on both mean mark and time taken to complete the examination.
Suppose a simple random sample of 20 non-English student have an average math score on the SAT exam of 528. What are the appropriate hypotheses?
The probability is 90% that the sample percentage will be contained within what symmetrical limits of the population percentage?
For the following scores, find the (A) mean, (B) median, (C) sum of squared deviation (d) variance, and (e) standard deviation:
An element E has a constant failure rate λ and a reliability at time t of R(t)=p, if p=0.5 and 0.9, what is the effect on Rs(t), basic reliability, serial Mean Time Between Failure, hs(t), MTBFs if additional elements are added to the baseline sys..
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