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33% of college students say they use credit cards because of the rewards program. You randomly select 10 college students and ask each to name the reason he or she uses credit cards. Find the probability that the number of college students who say they use credit cards because of the rewards program is (a) exactly two (b) more than two and (c) between two and five inclusive. (round to the nearest thousandth as needed)
assume the poisson distribution applies. use the given mean to find the indicated probability.find p6 when mean
A random sample of 50 men, 40% said they preferred walking up stairs than taking the elevator. In a random sample of 40 women
suppose the average speeds of passenger trains traveling from newark new jersey to philadelphia pennsylvania are
Perform a parametric analysis by assessing the fractional change in the probability of failure with respect to a small change in the mean and standard deviation of selected variable.
Compare exercise at a medium rate with exercise at a low rate. Do the data from the previous exercise give good reason to think that stepping at the medium rate increases heart rates more than stepping at the low rate?
in a management trainee program 80 percent of the trainees are female 20 percent male. ninety percent of the females
Assume that a random sample of 40 mechanics is selected and the mean rebuild time of the sample is computed. Assuming the mean times are normally distributed, what percentage of sample means are greater than 7.7 hours?
14 machines are planned to be used for a 60-day production run for a customer. The operating time is 1660 hours. Upon failure, a machine must be returned to the manufacturer for repair.
two boxes a and b. box a contains 4 red balls and 5 white balls box b contains 2 red balls and 3 white balls. an
Calculate the 95% confidence interval for the proportion of students with at least one injury for each of the two subpopulation
Suggest several lurking variables that also contribute. (Ask yourself what kinds of people tend to get more education.)
To illustrate the law of large numbers, use the normal approximation to the binomial distribution to determine the probabilities that the proportion of heads will be anywhere from 0.49 to 0.51 when a balanced coin is flipped
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