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According to the experts, the odds against a professional golfer making a hole in one are 3708 to 1; in other words the probability is 1/3709 that a professional golfer will make a hole in one. One hundred fifty-five golfers participated in the second round. Show your work. A) Determine the probability that at least 4 of the 155 golfers would get a hole in one on the sixth hole. Discuss B) What assumptions did you making in solving part (a)? DO those assumptions seem reasonable to you. Explain
State the number of degrees of freedom that are associated with each of the following extra sum of squares and why this is the case:
Units with weights less than 5.8 or greater than 6.2 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)?
Reccomend asprin for their patients with children Conduct a hypothesis test using the P-Value method. What conclusions would you make when a=o.2 and a=0.02.
A consensus of experts has agreed on the following table of potential NPVs and their likelihoods for a capital budgeting project that involves considerable uncertainty and is therefore risky:
The monthly sales volume (in thousands of dollars) for a manufacturer of snow skis is seasonal (there tend to be more skis sold during fall and winter months than during warmer months). The following table shows the monthly seasonal indexes for th..
Under what circumstances should a nonparametric test be used? Explain. What are the strengths and weaknesses of nonparametric tests? Can the outcomes of nonparametric tests be generalized to populations?
A random sample of 64 light bulbs indicates a sample mean life of 350 hours. Construct a 95% confidence interval estimate of the population mean life of the light bulbs.
Explain in language that the manager can understand why we cannot be confident that sales rose by 6%, and that in fact sales may even have dropped.
The random variable x is known to be uniformly distributed between 1.0 and 1.5.
The following sample data were obtained from three populations that did not follow a normal distribution. Compute the value of the test stastic. What is your decision on the null hypothesis?
An independent-measures t test produced a t statistic with df=20. If the same data had been evaluated with an analysis of variance, what would be the df values for the F-ratio?
The sample mean life is 5.5 years with a standard deviation of 0.6 years. If you were constructing a 99% two-sided confidence interval estimate, the lower limit would be?
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