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You need to estimate the mean number of travel days per year for outside salespeople. The mean of a small pilot study was 150 days, with a standard deviation of 42 days.
If you must estimate the population mean within 10 days, how many outside salespeople should you sample? Use the 90 percent confidence level.
Compute the incidence proportion or the risk ratio that compares group 1 to group 0, and compute the Incidence proportion or the risk ratio which compares group 2 to group 0. Then post a summary of your findings.
The function that defines the probability distribution of a continuous random variable is a?For a continuous random variable x, the probability density function f(x) represents.
Find the probability that 665 or fewer college students in the sample send and receive text messages with their phones? Is this result unusual?
Would it be appropriate to say the coefficient of determination (R-squared) is the proportion of variation in Y due to the variation within each of the categories of X?
In part b, the sample have greater variability than part a, but the sample sizes are unchanged. how does the larger variability affect the size of the standard error for the sample mean?
Suppose that the number of babies born during an hour at a hospital's maternity wing follows a Poisson distribution with a mean of 4 per hour.
The probability of success for any trial of a binomial experiment is 25%. Find the probability that the proportion of successes in a sample of 500 is less that 22%. Repeat with a sample of 800. Repeat with a sample of 1,000.
A previous study of nickels showed that the standard deviation of the weight of nickels is 150 milligrams.
Gigi has rolled a natural on four straight tosses of the dice. This excites the gamblers standing around the table.
If the probability distribution of X is: Determine the expected value of X? Find out the variance of X?
Assume that the average person in America weighs 150 pounds (μ). You want to determine whether colleges students weigh less than the average America, Following are the weights collected on a sample of colleges students: 120, 105, 166, 170, 145, 14..
Develop a probability distribution for the number of students in the sample who watch soap operas.
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