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A sample survey interviews an SRS of 267 college women. Suppose that 70% of all college women have been on a diet within the last 12 months. What are the mean and standard deviation of the sampling distribution for samples of 267 women?
Determine (a) the 90% confidence limits, and (b) the 97% confidence limits for an estimate of the mean diameter of all the rivets produced by the machine in a day.
Machine X test unit cost $3000 with beta=3 and theta=500, Machine Y test unit cost $2000 with beta=3 and theta=400. If the machines oil fixtures has life of 20 hrs, which machine goes to market first?
unisys maintains a hurricane database which provides information on hurricanes in the atlantic caribbeangulf of mexico
when making a stem plot how do you round to the nearest hundred when numbers are given in millions. this is question
Use the p-value approach and test to determine if the average yearly income of marketing managers in the East is significantly different from the West.
Calculate a 95% Confidence Interval for the following samples
a study of the net sales of a sample of small corporations revealed that the mean net sales is 2.1 million the median
6 % have both defects. If you purchase one of the flashights in this shipment, find the probability that it has the following: defective bulb or a defective battery.
Two semiconductor factories are being compared to see if there is a difference in the average defect rates of the chips they produce. In the first factory, 250 chips are sampled. In the second factory, 350 chips are sampled. The proportions of def..
q1 define what the chi square distribution is. why do you use the chi-square statistic? what type of data is used
A gambler loses 10 times running at roulette. He decides to continue playing because he is due for a win, by the law of averages. A bystander advises him to quit, on the ground that his luck is cold. Who is right? Or are both of them wrong?
Assume that the height of adult caucasian women have a mean of 63.6 inches and a standard deviation of 2.5 inches. If 100 women are randomly selected find the probability that they have a mean height greater that 63.0 inches.
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