Answer: Wilber would save more, because he borrowed $15,000 more in principal.
Step-by-step explanation:
We will evaluate each case separately:
with a roller:
P1 = (40/8) * 10 + (1/2) * 10 = 55 $
spray gun:
P2 = (40/20) * (5 + 10) + (1) * (10) = 40 $
Then, the saving is:
P1-P2 = 55-40 = 15 $
answer:
you save by using the spray gun on a paint job that involves painting 40 m2 15 $
Probably like 5 ft of carpet
A manager wants to test whether two normally distributed and independent populations have equal variances. the appropriate test statistic for this test is a "F-statistics."
<h3>
What is F-statistics?</h3>
An F statistic is a value obtained after performing an ANOVA test or even a regression analysis to determine whether the means of two populations differ significantly.
Some key features regarding the F-statistics are-
- It is comparable to a T statistic from the a T-Test; a T-test would then inform you when a single result is statistically significant, whereas a F test would then tell you if a set of variables is statistically significant.
- When determining whether your total results are significant, you must use the F statistic in conjunction with the p value. Why?
- A significant result does not imply that all of your variables have been significant.
- The statistic is simply comparing the cumulative influence of all the variables.
To know more about the F-statistics, here
brainly.com/question/17256783
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