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A manufacturer purchases steel bars to make cotter pins. Past experience indicates that the mean tensile strength of all incoming shipments is 10,000 psi and that the standard deviation, σ, is 400 psi. In order to make a decision about incoming shipments of steel bars, the manufacturer set up this rule for the quality-control inspector to follow: "Take a sample of 100 steel bars. At the .05 significance level if the sample mean strength falls between 9,922 psi and 10,078 psi, accept the lot. Otherwise the lot is to be rejected." Calculate the type I, type II errors and the power of the test assuming H1: µ=9,900
A Patent Medicine Company supervisor assumes that the bottling machine is operating properly if only 5 percent of the processed bottles are not full. A random sample of 100 bottles had 7 bottles that weren't full. Using a significance level of .01..
In an effort to determine the size of an animal population, 100 animals are captured and tagged. Some time later, another 50 animals are captured.
musical styles other than rock and pop are becoming more popular. a survey of college students finds that 34 like
What does the y-intercept represent in terms of linear analysis (and linear regression analysis) and give an example of how it can no significance in a problem?
Compute b1, slope of an OLS regression line using dollars spent as dependent variable (Y) and age as independent variable (X).
What is the probability that the parents are watching tv
the amount of time it takes anyone to figure out who the killer is in a one- hour episode of columbo is normally
Explain the effect - Use post hoc tests when necessary and Is there an interaction between your two variables?
How sensitive is the optimal solution (barrels of each output sold and profit) to the required quality points? Answer this by running a two-way Solver Table.
we know that the average life of a light bulb is 10000 hours.there are 12 lightbulbs in a classroom. in order for a
A sample standard deviation = 5.60 hours, find the upper limit of a 98% confidence interval estimate of the true population mean life.
Suppose that, conditional on N, X has a binomial distribution with N trials and probability p of success, and that N is a binomial random variable.
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