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At a local university, a sample of 49 evening students was selected in order to determine whether the average age of the evening students is significantly different from 21. The average age of the students in the sample was 23 with a standard deviation of 3.5.
a) Formulate the hypotheses for this problem.
b) Compute the test statistic.
c) Using the p-value approach, what is your conclusion? Let α = .05.
Find the mean and standard deviation of X, the number of students in class, who will develop influenza.
A manufacturer of 35-mm cameras knows that a shipment of 30 cameras sent to the large discount store contains 8 defective cameras. The manufacturer also knows that the store will choose two of the cameras at a random, test them, and accept the shi..
How many boxes must the processor sample to be 95 percent confident that the sample mean does not differ from the population mean by more than 0.2 pounds?
Find the probability of failure of system for any 4 hours of operation?
Muscular dystrophy is an incurable muscle-wasting disease. The most common and serious type, called DMD, is caused by a sex-linked recessive mutation. Specifically; women can be carriers but do not get the disease; a son of a carrier has probabili..
The mean maximum oxygen uptake for elite athletes has been found to be 80 with a standard deviation of 8.1. Assume that the distribution is approximately normal.
Which of the following is the appropriate conclusion from carrying out these multiple comparisons
A bank wants to get new customers for their credit card. They try two different approaches in their marketing campaign. The first promises a "cash back" reward; the second promises low interest rates. A sample of 500 people are mailed the first br..
Below you are given a partial computer output based on a sample of 21 observations, relating an independent variable (x) and a dependent variable (y).
In 1,000 samples, assuming that H 0 is true, how many times would you expect to commit Type I error if:
where p is the binomial probability of returning a completed survey, and log is the natural logarithm. The multiple logistic regression output from fitting this model is given below.
At the .05 significance level, can we conclude that the mean waiting time is less than 3 minutes?
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