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Ten bolts were selected randomly from a production line and the diameter of each was measured. Why do these diameters not have a binomial distribution?
A. The diameters of the bolts are not independent of one another.B. They do have a binomial distribution.C. They have equal probability of success.D. Diameter is a continuous random variable.
Do we have to worry about confounding variables in this instance? Why? If so identify a possible confounding variable? Are either of the terms retrospective study or prospective study relevant? Explain.
Doctors nationally believe that 68% of a certain type of operation are successful. In a particular hospital 47 of these operations were observed and 37 of them were successful. At a = 0.05 is this hospital's success rate different from the nationa..
The main purpose of this exercise is to check your understanding of significance level, p-values and power .
Calculate the appropriate test statistic to test the hypotheses related to the concern and test at 5% and 1% (indicate which test you are performing; show the hypotheses, the test statistic and the critical values and mention whether one-tailed or..
The dean of students believes that teh costs are greater this semester. What is the test value for this hypothesis?
What is the probability of getting the first questions correct and miss the fourth with five possible answers to each question?
Assume the distribution of amounts purchased follows the normal distribution. For a sample of 50 customers, answer the following questions. What is the likelihood the sample mean is at least $25.00?
Using suitable probability model, calculate the probability of producing more than 3 faulty chips per hour.Explain the reasons for choosing your probability model.
Propose a two sample z-test of a population mean and identify it as either an independent test or a dependent test.
While some teenagers received no allowance, others reported receiving $200 per week. Based on this information, the mean allowance for U.S. teenagers is most likely 0 $50.
Assume that the mean useful life of a particular lightbulb is 2,000 hours and is normally distributed with a standard deviation of 300 hours. Determine the percentage of lightbulbs that will last 2,300 hours or longer.
Determines the sample mean outer diameter to be 1.002 inches with a standard deviation of 0.003 inch. Calculate the process capability index for this example.
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