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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1 pint = 473.176 milliliters
62 x 473.176 = 215336.912 milliliters in a pony keg
215336.912/400 = 538.34 glasses
round off answer to 538 glasses
If you need area of the trapezoids:
Area of parallelogram = 10×7 = 70 sq. units
Area of each trapezoid = 1/2 × area of parallelogram = 1/2 × 70 = 35 sq. units
Answer:
Step-by-step explanation:
To find x, the following equation is generated given the available information:
Cross multiply
Collect like terms
Answer:
no
Step-by-step explanation:
