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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
We want to know if his support has decreased. In computing a test of hypothesis with , what is the estimate of the overall proportion?
The p-value of the test is closest to:
Convert each of the following z intervals to x intervals.
Develop a joint probability table for these data. If a student goes full time, determine the probability that school quality is first reason for selecting a school?
The hypotheses tested by the one-way ANOVA F test - Evaluate the P-value of the ANOVA F test
Carry out an ANOVA and describe in detail in a BPS-formatted Results section:
Calculate the coefficient of skewness and coefficient of variation of minutes spent commuting. What do these statistics tell us?
In a bumper test, three types of autos were deliberately crashed into a barrier at 5 mph, and the resulting damage (in dollars) was estimated. Five test vehicles of each type were crashed, with the results shown below. Research question: Are the ..
Two groups of students are asked to rank their preference for six types of soft drinks. The following table shows their rankings.
Re item 4, assume the critical value for this test is 4.92, and you obtain a computed statistical value of 7.45. Is there evidence to refuse null hypothesis? Describe why or why not?
For the following scores, find the (A) mean, (B) median, (C) sum of squared deviation (d) variance, and (e) standard deviation:
Find a 95% confidence interval for the mean dielectric strength of the oil.
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