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Suppose a study estimated the population mean for a variable of interest using a 99% confidence interval. If the width of the estimated confidence interval (the difference between the upper limit and the lower limit) is 600 and the sample size used in estimating the mean is 1,000, what is the population standard deviation?
If the manager decides to spend $3000 on advertising, based on the simple linear regression results given above, what would the estimated sales be?
given that fz 1radic2pie-z22 -infin lt z lt infin is the probability density function for the standard normal random
What is the probability that all three lines experience a surface finish problem between 20 and 40 hours of operation? Why is the joint probability density function not needed to answer the previous questions?
1.an experiment was performed to investigate lifetime of a component exposed to high heat. three different oven types
Approximately normally distributed with a mean of 32 hours and a standard deviation of 2 hours. What percent of the garages take between 30 and 34 hours to erect?
under what circumstances should you use a grouped frequency distribution instead of a regular frequency
In StaTScan what is the difference between a spatial cluster size to 25% of the population risk and one with 50% window ? In StaTScan what is the difference between space-time permutation and space-time?
What is the expected value and variance for the number of contacts in eight attempts?
A mean of 2000 pounds and a variance of 2500 pounds. Let X be the mean of any sample of 100 ropes selected at random. find the expected value and the standard error of X.
The Ohio Department of Agriculture tested 203 fuel samples across the state in 1999 for accuracy of the reported octane level. For premium grade, 14 out of 105 samples failed
A synopsis of a business related problem where statistics was used to solve the problem. The synopsis needs to include a discussion of the specific problem, the research methodology used, the quantitative and qualitative tools used
Simulate 50 observations from a normal distribution with mean 0 and standard deviation 1. make a normal plot.
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