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1. Explain how hypothesis testing may be applicable in the industry of law.
2. Provide a specific example and set up the null and alternative hypothesis?
3. Indicate whether it would be a one-tail or two-tail test
4. Explain, in business terms, what a Type I or Type II error would indicate for your specific example.
They estimated the proportion of students at the university who prefer outdoor exercise as (0.5745, 0.8217), with 95% confidence. Which of the following is an appropriate interpretation of this confidence interval?
Girl B throws 15 times, with a prob. of success = 0.2. And girl C throws 20 times, with a probability of success equal to 0.1. Determine the probability that the target will get hit at least 12 times.
Use technology to find the estimated minium required sample size. The minimum sample size required is ? Computer users round to the nearest whole number. What is a major obstacle to getting a good estimate of the population mean?
Two semiconductor factories are being compared to see if there is a difference in the average defect rates of the chips they produce. In the first factory, 250 chips are sampled. In the second factory, 350 chips are sampled. The proportions of def..
The average number of television sets in the sample households turns out to be 1.86, and the SD is 0.86. Find a 95% confidence interval for the average number of television sets per household.
Find the Probability and inverse probability for the given Normal distribution.
For some positive value of Z, the probability that a standard normal variable is between 0 and Z is 0.3770. Find value of Z? For some value of Z, the probability that a standard normal variable is below Z is 0.2090. Find value of Z?
Construct a 99% confidence interval for the proportion of Americans who live in neighborhoods with acceptable levels of carbon monoxide.
Find the mean, median, mode, and midrange for these data.
Explain these results to a person who understands the t test for a single sample but knows nothing about the t test for independent means.
A partial computer output from a regression analysis as follows. The regression equation is:
Determine the p-value, and at 95% confidence, test the hypotheses.
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