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he life expectancy of a brand of hair dryer is normally distributed wiht a mean of four years and a standard deviation of 8 months.
a. What is the probability that the hair dryer willb e in working condition for more than 5 years?
b. What is the minimum and maximum life expectancy of the middle 90% of hte hair dryers?
Give null and alternative hypotheses for this test in symbolic form.
Collapse the response categories in the following tables so that it meets the assumptions of the chi-square test; than perform the test.
Assume you are given data from a survey showing the IQ of each person interviewed and the IQ of his or her mother. That is all the information you have.
Compute the score based on their appropriate class means and standard deviations:
A population whose shape is unknown has a median of 75. You selected a sample of 40. The standard deviation of the median is 5. Calculate the probability that the median of the sample or average medians is:
One of the major measures of the quality of service provided by any organization is the speed with which responds to customer complaints. A large family-held department store selling furniture and flooring, including carpet, had undergone a major ..
We can compare two sample means to determine if the samples were obtained from normal populations with the same mean using the "t" distribution.
Describe the population of interest and calculate the numerical value of the statistic that that the EPA will use to estimate p. Construct a 95% confidence interval for the proportion of Americans who live in neighborhoods with acceptable levels of ..
A. What is the 90% confidence interval for the daily sales at all restaurants. B. What is the probability that the average sales are really $32,000 or more per day? Assume that the population average is $30,000 per day and the std. Deviation is $2..
What is the characteristic function of N? What is the mean and variance of N? What is the pmf of N? What is the probability that N is an even number?
A major department store chain is planning to open a store in a new city. Five cities are being considered: Boston, Atlanta, Dallas, Cleveland, and Los Angeles.
Using the 0.01 significance level, can we conclude that there is a positive correlation between the variables?
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