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A IRS auditor randomly selects 3 tax returns from 48 returns of which 9 contain errors. What is the probability that she selects none of those containing errors? Round to four decimal places.
Find the standard deviation and variance from the (population) data below. Describe your results.
The random number generator on calculators randomly generates a number between 0 and 1. The random variable X, the number generated, follows a Uniform Probability Distribution. What is the probability of generating a number between 0 and 0.2?
Suppose the random variable x is best described by a normal distribution with µ = 24 and σ = 2.7. Find the z-score that corresponds to each of the following x values.
Analyst computes production cost per unit in each order and averages these to get $50.
For the last 18 review periods the average sales figure has dropped to $11,500 with a standard deviation of $4,000. Management is concerned. Perform a hypothesis test to determine if this change in sales is a potential problem.
Women in the U.S. Air Force have hands that are 6.9 inches on the average (from the tip of the middle finger to the heel of the hand). The standard deviation is 0.34 inches. Assume that hand length is normally distributed.
The random variable x, which is the number of occurrences of an event over an interval of ten minutes. It can be assumed that the probability of an occurrence is the same in any two time periods of an equal length. It is known that the mean number..
Assume you were in charge of advertising for an automotive dealership when the gas prices increased to $6 per gallon. Most of your cars are fuel-efficient, but you have two models that have extremely poor fuel economy
The level of glucose, x, in blood follows a normal distribution with mean = 13.8, and std dev = 2.6. What is the probability that in a healthy adult:
A random-effects ANOVA refers to the analysis where the levels included in the study represent a random sample of all levels that exist.
We are certain the the average difference in reaction times between the two light types for all golfers is between 0.27 and 7.13.
The sample information is reported below. At the .10 significance level can we conclude that there is a difference in the amounts quoted?
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