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Suppose that machines M1, M2, and M3 produce, respectively, 500, 1000, and 1500 parts per day, of which 5%, 6%, and 7% are defective. A part produced by one of these machines is taken at random, at the end of a given workday, and it is found to be defective. What is the probability that it was produced by machine M3?
To carry out a validation study, an I/O psychologist is developing a regression equation from data collected from those hired two years ago
a particular manufacturing design requires a shaft with a diameter between 19.88 mm and 20.018 mm. the manufacturing
Do they have the same probability
answer the followinga- if the correlation coefficient is -0.15 what is the sign of the slope of the regression line?b-
in this section you will carry out the following basic estimation and tests of differences using the provided
How would you find the normal approximation to the binomial probability P(x = 5) in part A? Please show how you would calculate u and standard deviation in the formula for the normal approximation to the binomial
A store asked 250 of its customers whether they were satisfied with the service or not. The responses were also classified according to the gender of the customers. We want to study whether there is a relationship between satisfaction and gender.
Do the data demonstrate that the true mean photometer reading for the color density is significantly different from 12 at 3 percent level of significance?
The dean of students believes that teh costs are greater this semester. What is the test value for this hypothesis?
the mass of a species of shrew is approximately normally distributed with a mean of 10 grams and a standard deviation
an electronic device dissipating 30 w has a mass of 20 gm density u03c1 2700 kgm3 a specific heat of 850 jkgk and a
1. Your firm has 3 different manufacturing lines that each produce the same type of widget. There is a 85 percent chance that each line is functional on any given day. Assuming a Bernoulli process what is the probability of all three manufactu..
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