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Carpet City wants to develop a means to forecast its carpet sales. The store manager believes to the store's sales are directly related to the number of new housing starts in town. The manager gathered data from county records on monthly house construction permits and from store record on monthly sales. These data are as follows:
Monthly Carpet
Monthly Construction
Sales (1,000 yd.)
Permits
5
21
10
35
4
3
12
8
16
2
9
41
11
15
18
14
26
Determine the strength of the causal relationship between monthly sales and new home construction by using correlation.
Confirm that these statements are accurate by finding the geometric mean rate of increase.
Using the .05 significance level, can we conclude that there is a positive association between the two variables?
What percent of the Fords traveled 62.000 miles or less during the year?
Find out the operating characteristics for this system.
A small New England college has a total of 400 students.The Math SAT is required for admission, and the mean score of all 400 students is 620. The population standard deviation is found to be 60. The formula for a 95% confidence interval yields th..
If you did not know anything about standard deviation of population from which sample was taken, find out the 95% confidence interval for mean test score.
A certain airplane has two independent alternators to provide electrical power. The probability that a given alternator will fail on a 1-hour flight is .02. What is the probability that:
Compute cumulative probabilities for these numbers in second column. Then create a histogram illustrating data distribution. Using generated Normal probability table, determine probability of Pr(X
The resort's historical climate data suggests that the probability of a good winter with lots of snow during any given year is 40%.
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop.
Environmental Protection Agency (EPA) fuel economy estimates for automobile models tested recently predicted a mean of 24.80 mpg and a standard deviation of 6.2mpg for highway driving. Assume that a normal model can be applied.
Some of the factors affect statistical power for a one sample t test. How does statistical power change (increase or decrease) for each of the following changes?
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