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A researcher selected a sample of 50 residents from each of three different cities to determine if they were willing to participate in a medical experiment. At a = .05, test the claim that the proportions who will participate are equal.
Residents City 1 City 2 City 3
Willing to participate 20 12 22
Not willing to participate 30 38 28
Total 50 50 50
A) There is not evidence to reject the claim that the proportions are equal because the test value 4.861 < 5.991
B) There is evidence to reject the claim that the proportions are equal because the test value 12.592 > 1.042
C) There is evidence to reject the claim that the proportions are equal because the test value 5.991 > .4861
D) There is evidence to reject the claim that the proportions are equal because the test value 5.991 > 1.042
It is believed that the range of hourly wages paid to auto mechanics in a large city is $9 (range approx. = 4sigma-squared). If we assume that hourly wages are approximately normally distributed,
At the .01 significance level, can the manufacturer conclude that the price reduction resulted in an increase in sales?
Bob Nale is the owner of Nale's Quick Fill. Bob would like to estimate the mean number of gallons of gasoline sold to his customers.
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A neuropsychologist compare the auditory abilities of blind versus normally sighted rats. He predicted that the visually impaired rats would have better auditory development than normally sighted rats.
Test the equality of the means of three populations.
Bill calculates a linear correlation coefficient between two variable as 1.20. How would you interpret this?
(a) State the hypothesis for a right-tailed test. (b) Obtain a test statistic and p-value assuming equal variances. Interpret these results. (c) Is the difference in mean scores large enough to be important?
Determine the probability distribution associated with these data.
A recent report from the American Medical Association claims that for the first time in ten years, the average salary of psychiatrists was greater than $190,000 with a standard deviation of $27,000. What is the null hypothesis for his claim?
From the given probability distribution finite the mean and standard deviation.
All else being equal, what occurs to your confidence interval when you increase value of alpha?
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