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Which of the following would be most helpful in assessing the practical significance of a test of hypotheses about a proportion?
A) Test the hypotheses using significance level α = 0.001.
B) Report the P-value of your test.
C) Take another sample and retest just to make sure the results are not due to chance.
D) Construct a 99% confidence interval for the proportion in order to see the magnitude of the proportion.
Based on this sample information, develop a 90 percent confidence interval for the population mean yearly premium.
Create a set of n observations from the binomial distribution with 1 trial and the event probability of 0.007, where n is your answer.
The heights of young women are approximately normal with mean 65 inches and standard deviation 2.5 inches.
Write the null and alternative hypotheses you would use to test the following situation.
A random sample of 36 days yielded the average daily output of 890.2 tons, with standard deviation of 19.8 tons. Use this information to make a 95% confidence interval for mean.
Hours worked is important predictor of amount of sales.
Karefree State University has an enrollment of 18,000. Researchers took a sample of 900 and found 477 students wanted a Field Hockey team. Construct the 95% and 99% Interval estimates for the population proportion.
In a binomial distribution n = 8 and π = 0.2. Determine the probabilities of the following events.
Compute SS, variance, and standard deviation for following population of N = 7.Scores: 8, 1, 4, 3, 5, 3, and 4. The definitional formula works well with these scores. Use the definitional formula to compute SS.
95% of breaking strengths will be contained between what two values symmetrically distributed around mean?
2 to every even-numbered card, with aces being 1s. Determine the frequencies of 0, 1, and 2. Use SPSS to get the value of test statistic and p-value.
Determine the Midrange. Determine the Standard Variance. Determine the Standard Deviation
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