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A machine that manufactures automobile parts is estimated to produce defective parts 6 % of the time. If this estimate is correct, and 10 parts produced by this machine are randomly selected, what is the probability that more than 2 turn out to be defective? Round your answer to four decimal places.
The Problem Solving Inventory (PSI) has a normal distribution with mean = 90 and standard deviation = 15. A researcher suspects that the mean for female students is higher than 90.
Medicare spending per patient in different U.S. metropolitan areas may differ. Based on the sample data below, is the average spending in the northern region significantly less than the average spending in the southern region at the 1 percent leve..
A manufacturing process makes items whose weights are normally distributed. It is known that 22.57% of all the items made weigh between 100 grams up to mean and 49.18% weigh from the mean up to 190 grams. Find out the standard deviation.
The Texas Transportation Institute at Texas A&M University conducted a survey to determine the # of hours per year drivers waste sitting in traffic.
Does the variability in output appear to differ at the two experience levels? Test the hypotheses at the .05 significance level.
Search the library for a scholarly journal article of a study that presents the results using correlation analysis. Summarize the article, explain how the correlation was used, and the value of correlation analysis.
The MIT team will receive 2 points for a win, 1 for a tie. and 0 for a loss. Find the PMF of the number of points that the team earns over the weekend.
You read that statistical test at α=0.01 level has probability 0.14 of making a Type II error when specific alternative is true. Calculate the power of test against this alternative?
A journal polled its readers to determine the proportion of wives who, if given a second chance, would marry their husband again.
Determine r.m.s. error for regression prediction of height at 18 from height at 6.
Develop a forecast of enrollment next semester using exponential smoothing with a a= 0.2. Assume that an initial forecast for the first semester was 120 (so the forecast and the actual were the same.)
If there is one-year warranty on the equipment, what proportion of the customers will actually make a valid warranty claim?
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