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In a recent New York City marathon, 25,221 men finished and 253 dropped out. Also, 12,883 women finished and 163 dropped out. We want to use a .01 significance level to test the claim that the rate of those who finish is the same for men and women.
A U.S. Travel Data Center survey of 1500 adults found that 42% of respondents stated that they favor historical sites as vacations. Find the 99% confidence interval of the true proportion of adults who favor visiting historical sites as vacations.
There is evidence that the two processes yield different average errors. Assume that the population standard deviations are equal. What is the degrees of freedom?
What is the linear programming model for this problem?
Find the probability that all 3 ignition systems are good.d- which is better: the answer from part (b) or the answer from part (c)? why?
Mr.Smith works on a temporary basis. The mean length of each job he gets is three months. If the amount of time he spends between jobs is exponentially distributed with distributed with mean 2, then at what rate does Mr. Smith get new job?
WARTA, the Warren Area Regional Transit Authority
What is our decision regarding the differences between the observed and expected frequencies if the critical value of chi-square is 9.488 and the computed value is 6.079?
Thus, the first question he examines is as follows: Is there a difference in the number of points students earned on their educational statistics pretests and posttests?
Jon Molnar will graduate from Carolina Forest High School this year. He took the American College Test (ACT) for college admission and received a score of 30.
1.ginger root is used by many as a dietary supplement. a manufacturer of supplements produces capsules that are
Give a variable that could be used to stratify the population for each of the following studies. List at least four subcategories for each variable.
The US Census Bureau announce that the median sales price of new houses sold in April 2009 was $221,600 while the mean sales price was $274,300. Assume that the standard deviation of the prices is $90,000.
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