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The editor of a textbook company is trying to decide whether to publish a proposed business statistics textbook. Information on previous textbooks published indicates that 10% are huge successes, 20% are modest successes, 40% break even, and 30% are losers. Before publishing decision is made that book will be reviewed . 99% is huge successes received favorable reviews, 70% of the moderate successes received favorable reviews, 40% of the break-even books received favorable reviews, and 20% of the losers received favorable reviews.
a) If the proposal textbook receives favorable reviews, how should the editor revise the probabilities of the various outcomes to take this information into account?
A SRS of size 16 drawn from a Normally Distributed population has a mean of 30 and a standard deviation, s, of 5. With 95% confidence, what is the interval that captures the true mean of the population?
25% of the residents garden. If 5% of the residents play poker and garden, find the probability that a resident plays poker, given that they also garden.
A pharmaceutical company is testing the effectiveness of a new drug for lowering cholesterol. As part of this trial, they wish to determine whether there is a difference between the effectiveness for women and for men. At = .05, what is the test v..
Regression - What factors predict duration of dyspnea in elders with heart failure?
Find the probability of getting a queen and a spade.
Plot Kaplan-Meier Survival curve estimates along with true survival curve for n=25,100,1000
A big part of regression analysis involves hypothesis testing. For example the t-score for b1 tests a hypothesis...what is the H0 and Ha for this hypothesis?
Testing for Population mean - Can the difference in average educational level between the sample and the nation be explained by chance variation?
Describe the types of probability -example of classical probability, empirical probability, or subjective probability.
The "average" (mean) tire wore out at 41,000 miles, and the standard deviation was 4000 miles. Approximately what percent of the tires are likely to wear out before 40,200 miles?
If a group of 81 children is selected at random, what is the probability that the average time these children watch television is more than 3.5 hours a day?
How many students would be required to estimate the proportion of students who consume coffee? Suppose we want the estimate to be within 5% of the true proportion with 95% confidence.
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