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
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Take 45.36 *.08 to get the price of the sweater 45.36 *.08 =3.6288 so take 45.36-3.63= 41.73 and take 41.73 *.25 = 10.4325 take 41.73+10.43=52.16 is the original price of the sweater
Answer:
8
Step-by-step explanation:
Y) -8 x -4 = 32
X) -2 x -4 = 8
Multiples of 2: 2,4,6,8
Multiples of 6:6,12,18,24
Multiples of 12:12,24,36,48
Multiples of 25:25,50,75,100
Further explanation:
A multiple is a number that is obtained by multiplying an integer with that number.
We have to find multiples of given numbers:
So,
<u>1. Multiples of 2</u>
<u>2. Multiples of 6</u>
<u>3. Multiples of 12</u>
<u>4. Multiples of 25</u>
Keywords: Multiples, Non-zero multiples
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