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
#SPJ4
$30 because 12/6 = 2 so 15 x 2 = 30
Answer:
30 copies.
Step-by-step explanation:
Let's represent p as pages and c as copies
90p = 3 m
m = 90/3
m = 30
Answer:
3(7a - 9)
Step-by-step explanation:
21a–27
3*7*a - 3*9
Factor out 3
3(7a - 9)
