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Suppose you take a random sample of 25 from a lot of 1,000 items but later realize that you should have selected a sample of 40 items instead. How do you correct this error? Should you put the 25 items back and draw the required random sample of 40 from the original lot, or should you simply draw an additional random sample of 15 from the 975 remaining items?
Set up a hypothesis test to validate this claim. Using a significance level of .01 to test this hypothesis, what is your decision rule
You are the production manager of a company. Parachutes are woven in your factory using a synthetic fiber purchased from one of four different suppliers. The most important outcome for parachutes is strength of the fabric.
A certain component is critical to the operation of medical device and must be replaced immediately upon failure. If the mean lifetime of this type of component is 100 hours and its standard deviation is 30 hours, how many of these components must..
A transatlantic plane carries 140 passengers. It is known that the average weight of all passengers on that plane is 147.14 pounds, that the men on that plane weigh on the average 170 pounds, and women 130 pounds. How many men and how many women w..
The random sample population is 500 people who shop for workout programs and equipment. The sample mean of those shopping is that they spend an average of $250.00 per purchase and perchance at least 2 to 3 items for working out and weight lost
Utilizing a binominal experiment, that is each trail can be reduced to two outcomes, construct a binomial distribution.
Randomly select a sample of five rental agencies. Start with row two and column two. The number is 90935. Use the first two numbers starting with 90.
Inspection of student data generated during pre/post treatment surveys shows that among 10 subjects, 7 had higher scores after an experimental treatment
If you are performing a hypothesis test using a z statistic in which you sampled 50 people and found an average SAT verbal score of 542 (assume we know the population mean to be 500 and the standard deviation to be 100)
Choose the proper conclusion regarding the claim that the population have different variances.
Why do the critical values from the Chi-square distribution get larger as the degrees of freedom get larger? Recall that this is opposite the pattern for the t-table.
Let X be a normal distributed random Variable with u=100 and o=10. the probability that X is between 70 and 100 is:
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