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Testing equality of variances.
Over the last several years, the use of cell phones has increased dramatically. According to a recent poll, the mean talking time per month for cell phones was 372 minutes for men and 275 minutes for women, while the mean talking time per month for traditional home phones was 334 minutes for men and 510 minutes for women.
Suppose that the poll was based on a sample of 100 men and 100 women, and that the standard deviation of talking time per month for cell phones was 120 minutes for men and 100 minutes for women, while the standard deviation of talking time per month for home phones was 110 minutes for men and 150 minutes for women. At the .05 level of significance, is there evidence of a difference in the variability of monthly talking time on cell phones for men and women?
Determine the probability that a randomly selected sample of 31 patients would produce an average diameter of 6.6 mm or less for the non affected tendon?
At 5% level of significance, does this sample prove violation of guideline that average patient must pay no more than $250 out-of-pocket? Write your hypotheses and decision rule.
Test whether the gender distribution for basketball fans is significant different from general college by proportion test.
Determine what analysis would you do on each problem (ie, one-sample z-test, one-sample t-test, proportion test, two-sample independent t-test, or paired test)?
How large should n be so that the standard deviation of is no more than 0.01 and sampling distribution
Country A and Country C spends about the same amount on average per person per year. Which has the greater spread?
The distribution of 9 ounce bags of a particular bag of potato chips is approximately Normal with a mean of 9.12 ounces and a standard deviation of 0.15 ounces.
Compute the coefficient of multiple determinations.
If we select a crew member at random, what is the probability the crew member earns:
At the 5% level of significance, can we infer that branch A has a significantly higher proportion of satisfied customers than branch B?
What kind of probability uses sample spaces to find out numerical probability that event will happen?
If the loss of weight of customers at the end of their first month is normally distributed with a mean of 6.7lbs and a standard deviation of 0.81lbs
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