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The life (in hours) of a magnetic resonance imagining machine (MRI) is modeled by a Weibull distribution with parameters ß = 2 and d = 500 hours.
(a) Determine the mean life of the MRI.
(b) Determine the variance of the life of the MRI.
(c) What is the probability that the MRI fails before 250 hours?
Given the data set body-weight.sav, use SPSS to calculate the 90%, 95% and 99% confidence intervals for the mean of the variable weight.
Place the following set of numbers in ascending order. Determine the maximum and minimum values of the following set of numbers. 36/7,-1,-2/3,-5,26/9
Construct the following confidence intervals for your data set:
Use this information to construct a probability table, and then calculate each of the following probabilities:
If the least squares equation for sales data going from 1984 to 1990 is Y1 = 10 + 1.3X (in $ millions) found using the coded method, what is the plot on the straight line for 1988? (x and y values)
She predicts correctly on 16 tosses. What is the probability of being correct 16 or more times by guessing? Does this probability seem to verify her claim?
State along statistical certainty there is a difference among the population proportions of those favoring Statement.
Assuming everyone I ask says East, how does the probability change with the sample size? In other words, how is the probability different if 50 out 50 women say East instead of 5 out of 5 women?
The probability of selecting each of the roads are the same. It is 1/3. If the prisoner succeeds on her escape, what is the probability that she made good on her escape by using road b.
You are dealt 2 cards from a shuffled deck of 52 cards, without replacement. There are four suits of 13 cards each in a deck of cards
part i.question 1.a 90 confidence interval estimate shows that there is a 90 percent chance that the true population
A box contains four 40-W bulbs, five 6-W bulbs and six 70-W bulbs, if three bulbs are selected without replacement randomly. What is the probabilty that three are 70-W bulbs?
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