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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Answer:
see below
Step-by-step explanation:
Graph the boundary lines as though these were equations. For the first inequality, which does not include the "or equal to" case, the line is dashed.
Now, look at y in relation to the comparison symbol. For "y < ...", values of y that are in the solution set will be below (less than) those in the line, so the shading is below the line. For "y ≥ ...", values of y that are in the solution set will be above (greater than) those in the line, so the shading is above the line.
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The graph of y=2x-1 has a slope of 2 and intersects the y-axis at y=-1. The graph of y=-x+3 has a slope of -1 and intersects the y-axis at y=3.
A and d.
as 6(a+12) and 3(2a+4) both are equivalent to 6a+12
b. 6a + 72
c. 12 + 6a
e. 6a + 36
For a function of , the average rate of change can be found as follows:
So, we only need two points to compute this value. So, in this problem we have a table with several points, but the problem establishes that the ARC we need to find is the one between two points, that is, when x=3 and x=4. In this problem, is the function, so:
This term is equal to .0009999. This is very close to 0.