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Q1) Sample of 25 concession stand purchases at October 22 matinee of Bride of Chucky showed a mean purchase of $5.29 with standard deviation of $3.02. For October 26 evening showing of the same movie, for sample of 25 purchases mean was $5.12 with standard deviation of $2.14. Means appear to be very close, but not variances. At α = .05, is there a difference in variances? Illustrate all steps clearly, including illustration of the decision rule.
Q2) In bumper test, 3 types of autos were deliberately crashed into barrier at 5 mph, and resulting damage (in dollars) was estimated. 5 test vehicles of each type were crashed, with the results shown below.
Research question: Are mean crash damages the same for these three vehicles?
Crash Damage ($)
Goliath
Varmint
Weasel
1,600
1,290
1,090
760
1,400
2,100
880
1,390
1,830
1,950
1,850
1,250
1,220
950
1,920
A pair of dice is rolled. What is the probability of each of the following? (Round your answers to three decimal places.)
If historical time series data is very limited, what type of forecasting approach would be useful.
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A company has developed the new battery, but the average lifetime is unknown. In order to estimate the average, a sample of 150 batteries is tested and an average lifetime of this sample is found to be 250 hours.
Extra college-level training, and rest of the sailors arn't accounted for. How does your sample compare to what you expected to determine? Define null hypothesis.
Suppose the probability of a boy being born is the same as the probability of a girl being born. Find the probability that a family with three children will have two boys and one girl.
In order to test the assumption of a Poisson distribution, a random sample of 150 ten-minute intervals was taken.
Find the sample size for the 95% confidence interval used to estimate the population proportion.
If statistically significant, do you believe the difference is large enough to be significant? If so, to whom, and explain why? Is normality assumption fulfilled? Describe.
This table gives three measurements of 10 samples made in a production run. Use statistical process control method to solve problem.
Test the overall significance of the regression model at α = .05 level. Please use the six-step hypothesis-testing framework we employed in class, and write out the last three steps in this table:
LPP using the graphical method. Solveout the following linear programming problem utilizing the corner point method.
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