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: 8,7
Step by step:
Because the numbers on the left sides are numbers that represent the y-axis which is how far up or down the point will be.
7 is the smallest number making it the closest to the x- axis.
Hope this helped you:)
Answer:
Step-by-step explanation:
Exponential functions have a horizontal asymptote. The equation of the horizontal asymptote is
y
=
0
.
Horizontal Asymptote:
y
=
0
The range of a data set is the difference between the largest and the smallest value in the set.
Here the range is: r = 62 - 25 = 35
Answer:
A. and B.
Step-by-step explanation:
A. $34 - $10= $24 hourly fee divided by 3= $8 per hour.
B. $66 - $12= $54 hourly fee divided by 6= $9 per hour.
C.$92-$8= $84 hourly fee divided by 7= $12 per hour.
D. $52.5-$0= $52.5 hourly fee divided by 3.5= $15 per hour.
E. $112-$2=$110 hourly fee divided by 5.5= $20 per hour.
So Mia and Alex are the cheapest .
