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Question: a. A batch of 50 parts contains six defects. If two parts are drawn randomly one at a time without replacement, what is the probability that both parts are defective?
b. If this experiment is repeated, with replacement, what is the probability that both parts are defective?
At the 0.05 level, and assuming a normal distribution for the weights, examine the possibility that the new procedure is actually no better than the old one.
Find a 99%. confidence interval for the difference between the average grades for the two courses. Assume the populations to be approximately normally distributed with equal variances.
What type of test is described below and can you provide the null and alternate hypothesis? Using an old manufacturing process.
When redesigning the fighter jet ejection seats to better accommodate women, which probability is more relevant: The result from part (a) or the result from part (b)? Why?
Construct a 95% confidence interval for the proportion of all those who experience some type of discomfort.
a cutting tool wears out with a time to failure that is normally distributed with a mean of 10 working days and a
Open the divorce.sav data file and run the one-way ANOVA to answer the following questions: What are the effects of marital status on life satisfaction? State the independent and dependent variables
there are several advantages of using a paired t-test. since the same subjects are being tested in each of the varying
question let wi be the power received by the mobile at distance i from the base station. the probability distribution
For a Brownian motion process X(t), let X0 = X(0), X1 = X(1), . . . represent samples of a Brownian motion process with variance αt. The discretetime continuous-value process Y=, Y2,... defined by Yn = Xn - Xn-1is called an increments process.
What are the key conceptual differences between these 3 methods? In other words, under what conditions do we choose each method for our analysis, and why?
If the student matches the usual 70% rate, what is the distribution of the number of errors caught? What is the distribution of the number of errors missed?
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