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The salaries of the employees of a corporation are normally distributed with a mean of $25000 and a standard deviation of $5000. What is the probability that a randomly selected employee will have a starting salary of at least $31ooo?
Develop a 95% confidence interval for the proportion of the population of adults who feel customer service is better today than it was 2 years ago.
One of the three vice-presidents has not been invitged to attend any of the last four games. what is the probability that this could happen?
What is the 95% confidence interval estimate of the population mean examination score if a sample of 200 applications provided a sample mean = 935?
Find the power of the test designed to determine if the the new safety equipment is effective when the mean percent reduction is actually 2.3%. Assume that the population standard deviation is 12% and that α is 0.02. What is the power?
At the 5 percent level of significance, can we conclude that the mean weight is greater than 16 ounces? Determine the p-value.
The participants in a television quiz show are picked from a large pool of applicants with approximately equal numbers of men and women.
The following problem develop the concept of determining the probability distribution of random variable and its mean and variance.
The model that result is: y= 0.6 + 1.2x, where the dependent variable is the amount of sales, in thousands of dollars, realized during the week and the independent variable is the amount spent on newspaper advertising, in hundreds of dollars, duri..
If a gambler rolls two dice and gets a sum of four, he wins $10; and if he gets a sum of three, he wins $25. The cost to play the game is $5. What is the expectation of this game?
A random sample of 100 doctors results in 83 who indicate that they recommend brand A. The value of the test statistic z in this problem is approximately?
Based on these results, a confidence interval for the population mean is found to be u = 5.7 PLUS OR MINUS 4.4. Find the degree of confidence.
A simple random sample of 1600 families is chosen. What is the chance that between 9% and 11% of the sample families will not own car?
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