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A university is planning on surveying grade 12 students in local high school to estimate the proportion who plan to attend the university after graduation. How large a sample should be selected in order to estimate the population proportion to within a margin of error of 0.02 with 97% confidence. The sample proportion from the preliminary sample was 0.18.
When the effect of a level for one factor depends on which level of the other factor is present, use: Select one:
A statistics instructor wants to know which route will get her to school the fastest. Each day from October 2 to November 15, when she gets to the turn point she checks the odometer on her car
Using an example from a hospital, create a mock data set for two specific variables of importance within hospital (minimum of 20). The data may be used for quality measures, patient inputs, demographics, financial data, etc.
A survey of college students collected information on several variables: Distance from Home, Age, Major, Gender, and Class. The variable Major is
Explain what the coefficient of determination, R^2 (R-squared), measures. How is it related to the sample correlation coefficient?
There is a statistical deception here. Explain what is deceptive about the bar graph.
Determine the minimum sample size to construct a 90% confidence interval for the population mean. Assume the population standard deviation is 1.2 years.
Estimate a probability that a seed from new plant will germinate a random sample of 3000 seeds, of those seeds 2430 germinated. What is the sample space for this problem and does it add up tp 1? are the outcome in the sample space equally likely?
On average, 40 percent of U.S. beer drinkers order light beer. (a) What is the probability that none of the next eight customers who order beer will order light beer?
How much time should the employer allow employees to finish the job? (Round up to the nearest minute).
If level of significance ( α ) is 0.005 in two-tail test, how large is non rejection region under curve of the t distribution?
Compute a 95% confidence interval for the population mean, based on the sample 32, 38, 31, 34, 35, 32, and 36. Change the number from 36 to 14 and recalculate the confidence interval. Using the results, describe the effect of an outlier or extreme..
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