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Jim is considering pursuing an MS in Information Systems degree. He has applied to two different universities. The acceptance rate for applicants with similar qualifications is 30% for University X and 55% for University Y. What is the probability that Jim will be accepted by at least one of the two universities?
A sample of 40 observations is selected from one somewhat normal population. The sample mean is 102 and the sample standard deviation is 5.
Natural Science, 415; Social Science, 511; Business Administration, 619; Philosophy, 196. Create a Pareto chart representing this information.
What concepts and constructs would you use to study this phenomenon? How might the concepts or constructs relate to explanatory hypotheses? Explain.
Suppose the pollster has no prior information about the proportions. If equal numbers of men and women are to be polled, how large should the sample sizes be?
Describe the correct statistical procedures for analysis for how has quality of care changed in hospitals that are part of a pay for performance (P4P) program?
A study on body types gave the following results: 45% were short; 25% were short and overweight; and 24% were tall and not overweight.
For a population with a mean of 60 and a standard deviation of 24, find the z-score corresponding to each of the following samples. What is Om for each equation?
The average delivery time is 26.7 with a standard deviation of 8.527. If the customer estimates the time using a 99% confidence interval, what is the margin of error?
A population is Normally distributed and has a σ = 24. Samples of size 25 have a sample mean of 100. Find the 90% confidence interval for the population mean.
The Aloha Banking Co. is studying ATM use in suburban Honolulu. A sample of 30 ATM's showed they were used the following number of times yesterday.
An entrepreneur is considering the purchase of a coin-operated laundry. The present owner claims that over the past 5 years, the average daily revenue was $675 with a standard deviation of $75.
She will make the mean raise $1000 and the standard deviation $179. Basing this on worker productivity (toys constructed), the most productive 10% of employees will see a raise of at least how much?
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