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While walking along a railroad track in a daydream, you are suddenly aware of a loud noise right behind you. What would be the "type I" error? What would be the "type II" error? Which is more serious? So what would you do to minimize the error? What is(are) the potential problem(s) associated with minimizing the error?
Assuming that they wish to test the claim at alpha = 0.025, determine the rejection and non rejection regions based on your hypotheses in a). State the critical value.
Calculate the limits within which the weight of the packets should lie assuming that the machine is not been classified as faulty.
The same exponential distribution with the mean E(Xi)=2, (i=1, 2, ..., n), and Y=X1+X2+...+Xn. Find the moment-generating function of Xi (i=1, 2, ..., n).
you are estimating the cost k of optical sensors based on the power output of the sensor. using the preliminary
a sample has a mean of m25. if one person with a score of x25 is added to the sample what effect will it have on the
A critique is a review and commentary on a particular article or piece of research. It is not necessarily critical in the negative sense, although you may need to comment negatively on some aspects; both positive and negative aspects should be treate..
use the degree of confidence and sample data to constuct a confidence interval for the population proportion p.of 139
Assume Nick doesn't know how his received he suppose that all three states of nature are equally likely to occur. If Nick uses the equally likely criterion illustrate what decision would he make.
If the sample size (n) is large, and the sample is a random sample, then the distribution of the sample mean x-bar is approximately a:
The management of a department store is interested in estimating the difference between the mean credit purchases of customers using the store's credit card versus those customers using a national major credit card.
Find the probability that the average diameter of those sand dollars is more than 4.13 centimeters. Assume that the variable is normally distributed.
the following are the numbers of defective parts produced in a shift by 10 workers before and after going through a
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