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A manufacturer of a new, less expensive type of light bulb claims that this product is very well made and even more reliable than the higher priced competitive light bulbs. In order to examine the manufacturer's claim, a random sample of 50 bulbs is tested for length of life. The results are the following.
a. Compute the 99% confidence interval for the mean life of this new type of light bulb.
b. Interpret this interval.
c. How many light bulbs should be tested, if the manufacturer wants to be 99% confident of being within 100 hours of the population mean life?
Compute B1 and B0 (for this I am having trouble finding the covariance and Sx if you could please write that out in detail)
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Does it appear that gender/sex is a significant factor in the differences in salary in this sample?
The 100% rule is used in decision modeling to determine whether or not a change in project constraints or variables will affect the outcome of a decision. Under the 100% rule, any combination changes can occur without a change in the solution, as ..
Demand for a product is normally distributed with mean demand equal to 200 units. There is a 0.95 probability that demand for this produce is between 180 to 220 units. Estimate the probability that demand for this product will exceed 195 units?
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Construct a frequency distribution. Construct a relative frequency distribution. Construct a frequency histogram of the data.
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