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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Answer:
Hope this helps!
Step-by-step explanation:
Area = π · r2 = 3.14 · 2.62 = 21.24 square inches.
If by x3 you mean x cubed then the answer will be:
96/15=6.4
3 root 6.4=1.856635533
x=1.85
Answer:
About 17 weeks
Step-by-step explanation:
Given
Ryan:

<em />
<em> (weekly)</em>
Sarah:

(weekly)
Required
Determine the number of weeks they have the same cards
Represent the number of weeks with w:
For Both individuals, number of card at any given week is:

So,
For Ryan, the expression is:


For Sarah, the expression is:


To determine the number of weeks, we have to equate both equations:

Collect Like Terms


Solve for w


16.6 implies about 17 weeks, because 16.6 approximates to 17
<em>Conclusively, Ryan and Sarah will have the same number of balls in about 17 weeks</em>