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Suppose you always reject the null hypothesis, regardless of any sample evidence.
a) What is the probabiliyt of Type II error? P(Type II error)
b) Is the chance of making a Type I error uncontrolled?
c) Is this a bad policy?
Wheel-Rite has agreed to ship the maximum number of wheel bearings that it produces each day to Itex when an order has been received.
Identify a key variable that you want to predict, and specify at least two variables that you think would be key in making that prediction.
Compute the within group variability. Do you require any post hoc testing? Why or why not? Decribe in detail.
The travel time for a college student traveling between her home and her college is uniformly distributed between 40 and 90 minutes.
a) What is the probability that for any day, the number of special orders sent out will be more than 4? b) What is the standard deviation of the number of special orders sent out daily?
How would you use the binomial distribution in making a business decision during a normal day of work in the career of your choice?
The probabilities of low, medium and high compliance are 0.3, 0.4, and 0.3, respectively
Here is a simple probability model for multiple-choice tests. Assume that each student has probability p of correctly answering the question chosen at random from universe of possible questions.
When performing a chi-square test for independence, explain how the "cell frequencies under the independence assumption" are calculated.
Find out whether this is enough evidence to accept or reject manager's null hypothesis, using alpha = .01. Is this test left-tailed, right-tailed or two-tailed?
Use the following frequency distribution to determine the midpoint of the second class.
Calculate the Pearson correlation for these data also determine whether there is a significant correlation among attitudes for husbands also wives.
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