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In a random sample of forty-eight 200-metre swims has a mean time of 3.12 minutes and a standard deviation of 0.09 minutes.
(a) Construct the 89% confidence interval for the population mean time.
(b) If all the other quantities remain the same, how does the indicated change affect the width of the confidence interval?
(i) Increase in the sample size
(ii) Increase in the level of confidence.
Advertisers need to know which age groups are likely to see their ads. Purchasers of 120 copies of Cosmopolitan are shown by age group Perform the chi-square test for a uniform distribution at α = .01
Jim Sellers is thinking about producing a new type of electric razor for men. If the market were favorable, he would get a return of $100,000, but if the market for this new type of razor were unfavorable
Assume men's weights are normally distributed w/ a mean of 172 lb. and a s.d. of 29lb.
The theory underlying inferential statistics and other theoretical aspects are subjects we do not often consciously think about in our daily activities.
In a hospital, a sample of 8 weeks was selected, and it was found that an average of 438 patients was treated in the emergency room each week. The standard deviation was 16. Find the 99% confidence interval of the true mean. Assume the variable is..
Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample approximately half the size.
"If you took 40 employees at random from the corporation, there is a pretty good chance the average number of days absent would be 12 or more. That's what happened to us - chance variation." Is this a good defense? Justify your answer.
What is the expected number of customers that will have to wait more than 6 hours?
If true explain and if false give an example. a. The significance level of a statistical test is equal to the probability that the null hypothesis is true. b. If the significance level of a test is decreased, the power of the test would be expected t..
What value is standard deviation for this data? What type of probability is this?
Find out the coefficient of determination, r 2 , and interpret its meaning.
They found that those with higher levels of cigarette use had lower GPAs, and vice versa. What can you rightfully conclude from this? Why? Be specific about what this kind of information may indicate and mean.
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