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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Simplify them until they can be simplified no more, then compare both sides.
Answer:
90
Step-by-step explanation:
Angle Formed Outside = 1/2(DIFFERENCE of Intercepted Arcs)
ARC LN = 360 - 270 =90
LMN = 1/2(270 -90)
= 1/2 (180)
= 90
Answer:
Step-by-step explanation:
Hello
Match the points on the number line with the rational numbers.
a __ -6/8 = -(2 x 3)/(2 x 4) = -3/4
b __ -2/8 = -2/(2 x 4) = -1/4
c __ -4/8 = -4/(4 x 2) = -1/2
d __ 8/8 = 1
e __ 13/8
Answer:
a=72° b = 6°
Step-by-step explanation:
answer is in pic
