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Yoonie is a personnel manager in a large corporation. Each month she must review 16 of the employees. From past experience, she has found that the reviews take her approximately four hours each to do with a population standard deviation of 1.2 hours. Let X be the random variable representing the time it takes her to complete one review. Assume X is normally distributed. Let X be the random variable representing the mean time to complete the 16 reviews. Assume that the 16 reviews represent a random set of reviews. What are the mean, the standard deviation, and the sample size
Prepare a line graph comparing the linear trend predictions against the original data and what are the forecasts for each of the first six months in 2011 using this technique?
Analyze the processed data in Statistical survey.
Mall security estimates that the average daily per-store theft is no more than $250, but wants to determine the accuracy of this statistic. The company researcher takes a sample of 64 clerks and finds that =$252 and s = $10.
A researcher has been hired by a pizzeria to determine which type of crust customers prefer. The restaurant offers three types of crust: hand-tossed, thick, and thin. Following are the mean number of 1-inch pieces of pizza eaten for each condition fr..
The College Board finds that the distribution of students
Suppose that 20% of the people in a large city have used a hospital emergency room in the past year. If a random sample of 125 people from the city is taken, approximate the probability that fewer than 22 used an emergency room in the past year. Use ..
The number of gallons of paint that Home Depot sells in a given day is normally distributed with a mean of 160 gallons and a standard deviation of 55 gallons (I realize that the distribution is probably different for weekends compared to weekdays, bu..
Hypothesis test in the research hypothesis is specific about the difference but with no direction specified for the difference is a (n)?
Is this a one- or two-tailed test?
Create the indicator variables, the raw data does not include these - calculate a difference in the gscores between the consecutive rows; this is how we know if the Gleason score has increased since the last biopsy, which is one of the indicators f..
Calculate the sample size needed given these factors
What test or tests would you use to rule out chance from causing the apparent differences in these data and is there a significant correlation?
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