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1. In a random sample of eight military contracts involving cost overruns, the following information was obtained. x = big price of the contract (in millions of dollars) and y = cost of overrun (expressed as a percent of the bid price).
x
6
10
3
5
9
18
16
21
y
31
25
39
35
29
12
17
8
If an overrun contract was bid at 12 million dollars, what does the least-squares line predict for the cost of overrun (as a percent of bid price)?
2. Let x be a random variable that represents the length of time it takes a student to write a term paper for Dr. Adam's Sociology class. After interviewing many students, it was found that x has an approximately normal distribution with mean μ = 6.8 hours and standard deviation σ = 2.1 hours. 0 ≤ z ≤ 2
Choosing the appropriate the sampling design for the given data
Nine percent of undergraduate students carry credit card balances greater than $7000. Presume 10 undergraduate students are selected randomly to be interviewed about credit card usage.
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Start rolling dice until a particular number, say 3, is obtained, and keep track of how many rolls are necessary. Repeat 100 times. Then find the average.
The diameters of oranges in a certain orchard are normally distributed with a mean of 5.26 inches and a standard deviation of 0.500 inches.
What is the probability that a visually impaired student gets less than 6.9 hours of sleep?
Find out the Optimum solution using the given data. Consider the following linear programming problem. Illustrate what is the optimum solution to this problem?
Compute the sample variance and the sample standard deviation for these data (to 2 decimals).
Analyze the data using linear contrasts to make the following comparisons:
Investigate the cost of a home mortgage and to determine the monthly payment.
Now he wants to know if there is a difference between the three formats. Is there?
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