n = 4 means that you are going to divide the area in 4 equal parts, that means that the size of the intervals is [20-4] / 4 = 16 / 4 = 4.
Now you can estimate the area from 4 to 20, by adding the area from 4 to 8 + the area from 8 to 12 + the area from 12 to 16 + the area from 16 to 20
And estimate each small area by a rectangle or a trapezoid.
As a trapezoid, area of each region is [f(x) + f(x+4)] /2 [x +4 - x] = [f(x) + f(x+4)] /2 [4] =
=[f(x) + f(x+4)] / 8
Area from 4 to 8: [11 +25] / 8 = 4.50
Area from 8 to 12: [25+16]/8 = 5.125
Area from 12 to 16 = [16+9]/8 = 3.125
Area from 16 to 20 = [9+31]/8 = 5.00
Total area = 17.75
Answer: 17.75
Answer: 1
Step-by-step explanation: anything to the power of 0 is 1 (except 0 to the power of 0 is undefined)
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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Step-by-step explanation:
eight times the difference of 2 and a number would be 8 × (2-x)
