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Of the bolts manufactured for a certain application, 90% meet the length specification and can be used immediately, 6% are too long and can be used after being cut, and 4% are too short and must be scrapped.
(a) Find the probability that a randomly selected bolt can be used (either immediately or after being cut).
(b) Find the probability that fewer than 15 out of 20 bolts can be used.
(c) Find the probability that more than 12 but fewer than 18 out of 20 bolts can be used.
(d) How many bolts are expected to be used out of 50 bolts.
If the sum of the squared deviations about the regression line is SSE = 40.0, what is the coefficient of determination?
In a regression analysis, three independent variables are used in the equation based on a sample of forty observations. What are the degrees of freedom associated with the F-statistic?
If a baseball player's batting average is 0.340 or 34%, find the probability that the player will have a bad season and only score at most 60 hits in 200 times at bat?
What fraction of the calls last between 4.2 and 5 minutes?
How large sample size must be taken to be 95% confident.
The unlikelihood of everyone who plays the lottery choosing a correct 6 would be very large indeed. Is this unethical advertising? Is it misleading? is the lottery in general, unethical? Why or why not?
What is the probability that the drug will be effective for 3 hours or more?
State the hypothesis test (with the formula of test statistic) could be used to see if the show-up ratio of people booked tickets is larger than 0.7.
What extremely important characteristic of the data set is not considered in the hypothesis test?
Find the probability that the first ball drawn is red and the second ball drawn is green. Place your answer, rounded to 4 decimal places, in the blank.
A party, and 35% stay home. Seventeen people are randomly selected. Can the probability that exactly 4 of them stay home be computed using a binomial model?
Discuss how the null and alternative hypothesis for one-sample testing differs from two-sample testing; and explain how these two hypothesis' are the same, and provide a numerical example?
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