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A video store needs to keep enough recorders in inventory to meet customer demand. But keeping inventories to meet all demand is costly. The manager estimates that 90% of consumer demand for videos will minimize cost. If the monthly demand for videos on average is 180 and standard deviation = 60, what is the number of videos the manager should order to meet 90% customer demand?
In a sample of 12 bank tellers at a local branch office, the 7 tellers who have completed the advanced training program offered by the bank have a lower average error rate in the processing of transactions than the remaining 5 tellers.
Super Markets, Inc. is considering expanding into the Scottsdale, Arizona, area. Ms. Luann Miller, Director of Planning, must present an analysis of the proposed expansion to the operating committee of the board of directors
Can you please derive the mean and variance of a RV X, which has a Poisson distribution.
A survey dating back to the 1990's suggested that Americans anticipated a reduction in living standards and that a steadily increasing consumption no longer might be as important as it was in the past. (Were they right?)
An aptitude test is designed to measure leadership abilities of the test subjects. Suppose that the scores on the test are normally distributed with a mean of 580 and a standard deviation of 120.
If the total of the accounts receivable is only $1,000,000 (but the standard deviation was correct), what is the probability the total of the sample would be less than $9,900.
The company investigating the golf balls is not satisfied with the limited analysis that it has done. The managers have collected a good deal of data, but they are not sure how to look at them and interpret the output.
Explain what a Chi-Squared Test is used for and give an example how you could possibly use this test. What is an ANOVA test? Create an example where this test could be used.
A baseball player gets a hit in 30 out of 100 times at bat. What is the probability that he gets a hit in his next at bat?
If you select a random sample of 16 cups and are willing to have an α = 0.05 risk of committing a Type I error, compute the probability of a Type II error (β) if the population mean amount dispensed is actually:
Bicycle helmet use. Table lists data from a cross-sectional survey of bicycle safety. The explanatory variable is a measure of neighbourhood socioeconomic status (variable_RFM). The response variable is "percent of bicycle riders wearing a helmet"..
Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance.
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