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When a machine is properly calibrated, .5% od is output is defective, but when it is out of adjustment,6% of the output is defective. The technician in charge of calibration can successfully calibrate the machine in 90% of his attempts. The technician has just made an attempt to calibrate the machine.
a) What is the probability that the machine is in adjustment?
b) The first unit produced after the calibration effort to be found to be defective. What is the probability that machine is in adjustment?
Test hypothesis that both propellants have same mean burning rate. Utilize α=0.05. Compute the P value.
What percent of trucks logged more than 57,060 but less than 58,280 miles? What percent of Fords travelled 62,000 miles or less in the year?
Determine the calculated value of the test statistic? What distribution does test statistic have when null hypothesis is true?
Using the .10 level of significance, can we conclude that the assembly time using the new method is faster?
How many jackets should the store owner order if she wants to maximize her expected profit?
If only one bolt is chosen, determine the probability that it will be found defective for only 1 reason (that is. it is either too large or has poor workmanship, but not both.)
A Correlation matrix (correlation, coefficients and probability level under the hypothesis rho = 0) for a company's sales force (age, years of service, and current sales) is given below. Comment.
If the loss of weight of customers at the end of their first month is normally distributed with a mean of 6.7lbs and a standard deviation of 0.81lbs
Find the confidence interval for the mean price, μ, of all dealer sticker prices of new cars: for a confidence level of 90% in thousands of dollars:
Compare among expected monetary approach also expected utility approach. Sketch the brokers utility curve and describe what it says about her risk profile.
Binomial Distribution: Control Charts this problem will be referred to in the study of control charts. In the binomial probability distribution, let the number of trials be n = 3, and let the probability of success be p = 0.0228.
What is the probability that a simple random sample of 40 male graduates will provide a sample mean within $10,000 of the population mean, $168,000 (to 4 decimals)?
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