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a. Suppose that the chance of having both a "favorable" survey and an unsuccessful product launch is 2. In addition, the frequency of "favorable" market surveys over all new products is .5. Then what is the chance of a successful product launch given a favorable survey?
b. In a large metropolitan area, it has been determined that one out of five drivers on the road on a Saturday night is intoxicated. Also, half of all accidents on Saturday nights involve drunk drivers. Based on this information, by what factor does the risk of having an accident increase due to driving while intoxicated?
What kind of probability uses sample spaces to find out numerical probability that event will happen?
The number of degrees of freedom for the appropriate chi-square distribution in a test of independence is:
What sample size and acceptable level would result in a probability of .05 that a good batch will be rejected and a probability of .10 that a bad batch will be accepted?
A study of cardiovascular risk factors compared heavy smokers, light smokers, and nonsmokers. Both men and women were included in the study so that the two factors are smoking level and gender.
Does this sample indicate a smaller average? Use α = 0.05 and assume a normally distributed population.
What is the probability that a sample mean will be within plus-or-minus two of the population mean for each of the following sample sizes?
What is the P-value of the test, assume the standard deviation is 3 years, a 95% confidence interval for the average time
The casino game craps is based on rolling two dice. Here is the assignment of probabilities to the sum of numbers on the up face when two dice are rolled:
Some of the factors affect statistical power for a one sample t test. How does statistical power change (increase or decrease) for each of the following changes?
Select the variable team salary and find the mean, median, and the standard deviation
Compute mean x and standard deviation s of data above. Calculate Ho by using traditional/classical method.
Let Y be the number of envelopes for which the machine fails to remove a check. Using the Central Limit Theorem to approximate P{Y≤10}.
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