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A central university has a student population of 60,000. The university is interested in determining what proportion of them is in favour of a new grading system. Determine a sample size with confidence level of 95% that will show the true proportion of population in favour of the new system within plus and minus 0.02.
A financial adviser is interested in predicting bond yield based on bond terms, i.e., one year, two years, etc. What is the dependent variable?
What are the limits of the 99% prediction interval of the daily sales in dollars of an individual grocery store that has spent $3000 on advertising expenditures?
An unpooled variance t-statistic, if appropriate, would have 7 degrees of freedom. Calculate the value of an appropriate test statistic. Construct the rejection region.
Consider that measurement 2 (M2) in random sample of 1000 controls from the Disease Y study population follows the normal distribution.
Given that Vacationer will travel less than 500 miles, Find out the probability that he/she will drive or take the Bus/Train?
A statistical study reported that a drug was effective with a p-value of .042. Explain in words what this tells you.
How many students should be surveyed if a 90% confidence interval is desired and the margin of error is to be only 3%?
Enrollment for the last four semesters had been 120, 126, 110, and 130. Develop a forecast of enrollment next semester.
Given this eort, why would we want to unify the Bayesian and frequentist approaches? Why should we be interested in the prior that most frequently yields exact frequentist inference.
In order to estimate the proportion of families who prefer female baby-sitters to male baby-sitters with an error of at most 8 percentage points and with at least 95 percent confidence, how large a sample should be taken?
In a clinical study of an allergy drug, 114 of 203 subjects reported experiencing significant relief from their symptoms. What is the point estimate of the true proportion of people who reported relief in the population.
Identify the null and alternative hypothesis, test statistics, p-value(or range of P-value), critical value(s), and state the final conclusion that address the original claim.
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