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From what she has heard about the two instructors who will teach a freshman statistics course, Jasmine estimates that her chances of passing the course are 0.85 if she gets Professor Normal, but only 0.60 if she gets Professor Skewed. The registrar determines the section into which she is put. Suppose her chances of being assigned to Professor Normal are 4 out of 10. Fifteen weeks later we learn that Jasmine did, indeed, pass the course. What is the probability that she was enrolled in Professor Normal"s section?
Assume that the population of hours worked per week by college graduates employed full-time is normally distributed with mean . Can we conclude that is greater than 40 hours? Use the .01 level of significance.
The following data was randomly drawn from a normal population. At an alpha level of .05, does the mean of the population differ significantly from -150. Use Excel.
What can you say about the effect of sample size on confidence intervals?
Standard deviation of $50. Provide a 95% confidence interval estimate of the variance of the population of the checking accounts.
Listed below are birth weights (in kilograms) of male babies born to mothers on a special vitamin supplement (based on data from the New York State Department of Health).
Supposing a linear relationship, use the least squares method to find the regression coefficients b 0 and b 1 .
How close is the calculated value to your experimental value?
Computing the Z scores for the given data and evaluate µ and σ for the population.
The manager selected a sample of five executives from each of three industries. At the .05 significance level, can she conclude there is a difference in the mean number of hours spent per week by industry?
How large of a sample should be studied if the standard deviation from a previous study was 26 cents and he wants his estimate to be accurate to within 15 cents?
What is the probability that none of three randomly selected persons is allergic to this drug? Assume that all three persons are independent.
Which promises the profit of $24,000 with the probability of .7 or a loss (due to bad weather, strikes, and such) of $8000 with the probability of .3. Determine the expected profit?
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