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The sales manager for a hardware wholesaler finds that 229 of the previous 500 calls to hardware store owners resulted in new product placements. Assume these 500 calls represent a random sample.
Find a 95% confidence interval for the long-run proportion of new product placements?
What level of confidence is associated with an interval of .400513 to .515487 for the long run proportion of new product placements?
Findout the probability using normal approximation for the provided values. Findout the specified probability from a table of Normal probabilities.
He randomly selects a sample of 10 items of the procduct from a large lot ready to be shipped. He (given that) the true proportion of perfect condition items is only 80% what is the probability that the lot will not be shipped?
You should use the hypergeometric distribution because you are sampling a small population without replacement.you are sampling a large population without replacement. You are sampling a small population with replacement.
In your environment (business or personal), please give an application of exponential smoothing and why you would use this technique.
Suppose that an IQ test was given to a large group of persons, the scores are assumed to be from a normally distributed population, that mean = 100 and s (standard deviation) = 15.
The lapping process, which is used to grind certain silicon wafers to the proper thickness, is acceptable only if 'sigma', the population standard deviation of the thickness of dice cut from the wafers, is at most 0.50 mil.
A random sample of 20 vice presidents of Fortune 500 firms is taken. The amount each vice president paid in federal taxes as a percentage of gross income is determined.
The lifetimes of light bulbs of a particular type are normally distributed with a mean of 370 hours and a standard deviation of 5 hours. What percentage of bulbs has lifetimes that lie within 1 standard deviation of the mean on either side?
State the decision rule for .05 significance level. (Round your answer to 3 decimal places.)
The mean SAT verbal score is 478, with a standard deviation of 98. Use the Empirical Rule to determine what percent of the scores lie between 380 and 478. (Assume the data set has a bell-shaped distribution)
According to Chebyshev's Theorem, how many students scored between 23 and 95?
The intelligence Quotient test scores normally distributed with a mean of 100 and a standard deviation of 15.
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