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A manufacturer of car batteries claims that the distribution of the life spans of its best battery has mean 54 months and standard deviation 6 months. A consumer group purchases a random sample of 50 u8batteries and tests the battery life spans. The sample mean lifespan is 52 months.
Assuming the manufacturer's claim is true, what is the approximate probability of observing a sample mean of 52 months or less?
Find the weighted mean of three test scores for a student (85, 90, 75) where the first test counts for 20%, the second test counts for 30%, and the third counts for 50% of the final grade.
The first step in this assignment is to provide SPSS with the Value Labels for the values in LOCALE97.
Determine r.m.s. error for regression prediction of height at 18 from height at 6.
Two-liter plastic bottles used for bottling cola are shipped in lots of 100. Suppose the lots are 5 percent defective. Some bottles leak, some are too small, and so forth.
Determine the expected market return on $ 20,000 if the expected return on asset is 20%, its beta is 1.5, and the risk free rate is 5 percent?
Test the hypothesis that the annual incomes of Teachers in areas of more than 500,000 are significantly more than those in areas of less than 100,000. Use the 5% level of risk.
The manager of Sam's Food Mart guarantees that none of his cartons containing a dozen eggs will contain more than one bad egg, despite the fact that 4% of individual eggs are known to be bad. Define the random variable x to be the number of bad eg..
Develop a linear regression model for these data and forecast carpet sales if 30 construction permits for new homes are filed.
Let X be the number of tumors in a fish living in a river. Suppose that it has the following probability mass function f(0) = 0.9 f(1) = 0.7 f(2) = 0.02 f(3) = 0.01 A random sample of size n = 30 is selected from this population. Approximate the p..
The ANOVA procedure is a statistical approach for determining whether or not:
Frequently, tests that yield abnormal results are repeated for confirmation. What is the probability that for a normal person a test will be at least 1.5 times as high as the upper limit of normal on two separate occasions?
A sample of 4 different calculators is randomly selected from a group containing 42 that are defective and 27 that have no defects. what is the probability that all four of the calculators selected are defective?
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