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Determine the credit score values: The credit score of a 35 year old applying for a mortgage at Ulysses Mortgage Associates is normally distributed with a mean of 600 and a standard deviation of 100.
(a) Find out the credit score that defines the upper 5 percent. (Round the answer to 4 decimal places.)
(b) Seventy-five percent of the customers will have a credit score higher than what value? (Round the answer to 4 decimal places.)
(c) Within what range would the middle 80 percent of credit scores lie? (Round the answers to 4 decimal places.)
Determine the special property of standard normal distribution, compared to other normal distributions?
At the .05 significance level, is there a difference in the mean number of calls per day between the two employees?
An experiment consists of flipping the fair coin three times and noting the number of heads and tails. A random variable x is defined to be two times the number of heads plus the number of tails.
Use the list of random digits below to assign 4 men and 2 women to the shark fin treatment. Read the table from left to right, first selecting the 4 men and then the 2 women. Use the numerical labels given in the chart to the names.
According to a recent survey, 275 of 400 middle-aged Americans said they used the Internet regularly. 140 of 400 senior citizens said they used the Internet regularly.
The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test.
The mean assembly time for a random sample of 24 carts, using the new method, was 40.6 minutes, and the standard deviation of the sample was 2.7 minutes.
A loan application is received this morning. What is the probability that:
Suppose the population is normally distributed they make a decision to do a hypothesis test.
At the .05 significance level, can we conclude that the mean waiting time is less than 3 minutes?
how many individuals will I need to sample if I want a 95% margin of error to be no more than 3%, I want to know if the results are significant at = 10%. With the information given.
Internal study by Technology Services department at Lahey Electronics disclosed company employees get the average of 2 emails per hour. Suppose arrival of these emails is approximated by Poisson distribution.
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