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Suppose that the diameters of golf balls manufactured by a certain company are normally distributed with μ = 1.96 in. and σ = 0.04 in. A golf ball will be considered defective if its diameter is less than 1.90 in. or greater than 2.02 in. What is the percentage of defective balls manufactured by the company? What did the answer indicate?
If the top 15% of the test scores are usually good enough for admission to law school, find the cut off score for gaining admission.
The 260 business majors and 100 students from the 180 political science majors. Does this sampling plan result in a random sample? Simple random sample? explain."
A study regarding the relationship between age and the amount of pressure sales personnel feel in relation to their jobs revealed the following sample information.
An aged merchant of Baghdad was much respected by all who knew him. He had three sons, and it was a rule of his life to treat them equally. Whenever one son received a present, the other two each received a present of equal value.
Solve problem graphically1. Describe optimal solution and objective function value in context of the problem.
A recent article in a computer magazine suggested that the mean time to fully learn a new software program is 40 hours. A sample of 100 first-time users of a new statistics program revealed the mean time to learn it was 39 hours with the standard dev..
let t be an exponential random variable for the failure of the screen for a television set with a mean time to failure
The firm examined 35 randomly chosen fax transmissions during the next year, yielding a sample mean of 14.44 with a standard deviation of 4.45 pages. (a) At the .01 level of significance, is the true mean greater than 10? (b) Use Excel to find the..
A Myrtle Beach resort hotel has 120 rooms. In the spring months, hotel room occupancy is approximately 75%. What is the probability that at least half of the rooms are occupied on a given day?
What is the expected number of baby girls in the sample of 40 births? What is the standard deviation of this binomial distribution?
At.01 significance level, can we conclude that there is more variation in selling prices of oceanfront homes?
Construct a 90 percent confidence interval for the true mean weight. (b) What sample size would be necessary to estimate the true weight with an error of ± 0.03 grams with 90 percent confidence?
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