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."
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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
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2*2^2+3 PEMDAS
2*4+3
8+3
11
Answer is 11
Answer:
True
Step-by-step explanation:
Answer:
Kevin's estimate is incorrect. When x=4, the value of y is $116, which is not close to
$180.
Step-by-step explanation:
Answer:
1600%
Step-by-step explanation:
Area = Side *Side
40%side * 40%side =1600% Area
40% *40%= 1600%
