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Which of the following would be the hypothesis for testing the claim that the proportion of students at a large university who smoke is significantly different from 0.15?
A) H o: p = 1.5, H a: p > 1.5
B) H o: p = 1.5, H a: p is not equal to 1.5
C) H o: p > 1.5, H a: p = 1.5
D) H o: p < 1.5, H a: p > 1.5
Compare your best difference to the result from an ordinary two-sample t-test between these groups. Comment the difference.
How is this relationship different from the bi-variate relationships?
In the game of roulette, a ball is dropped into a spinning wheel, finally landing on one of the wheel's 38 different slots. The wheel has 18 black slots, 18 red slots, 1 green zero, and 1 green double-zero.
The DPMO for process is 860. Find the approximate Six Sigma level of the process?
The camera department of a large department store sells three different brands of cameras: Proxima, Yakima, and Tetron. Approximately 60% of the cameras sold are Yakimas with Tetrons accounting for 30% of sales and Proxima the remaining 10%.
From past experience, an automobile insurance company knows that a given automobile will suffer a total loss with probability .02, a 50% loss with probability .08, or a 25% loss with probability .15 during a year.
Discuss any limitations (inaccurate data; incomplete information; not enough samples for testing)can have an regression analysis.
Critically discuss the mean number of children per household for these families? Round your answer to at least one decimal place.
While taking a multiple choice test, I realize I cannot answer the 5 questions without guessing. There are 5 choices for each question, A B C D or E.
At α = .05, is there a difference in variances? Illustrate all steps clearly, including the illustration of the decision rule.
The diameters of bolts produced by a certain machine are normally distributed with a mean of 0.30 inches and a standard deviation of 0.01 inches. What percentage of bolts will have a diameter greater than 0.32 inches?
A square yard of carpet is examined for surface defects. Currently, the process produces an average of 2.4 defects per square yard. What is the probability of finding 2 or more surface defects in the sample.
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