Answer:
<em>F test</em>
Step-by-step explanation:
<em>For any test using the F-distribution, a "F Test" is a capture-all word. In certain circumstances, as individuals speak about the F-Test, it is the F-Test to compare two variances that they actually talk about. </em>
Moreover, in a multitude of tests, the f-statistics is used such as regression analysis, the Chow test and the Scheffe test (a post-hoc ANOVA test).
One should be using Excel, SPSS, Minitab or some other form of software to run the experiment if you are running a F test.
<em><u>Steps include.</u></em>
- State the hypothesis of nullity and the counter hypothesis.
- Determine the value of F. The F value is determined using equation F = (SSE1 – SSE2/m)/SSE2/n-k, where SSE = square residual, m = number of constraints, and k = number of independent variables.
- Find the statistics for F (the critical value for the test). The F statistical formula is: F Statistics = group mean / mean variance of variances within the group.
- The F Statistics can be found in the F-Table.
- The Null Hypothesis is accepted or denied.
Answer:
9 months
Step-by-step explanation:
3*12-27
36-27
9
x=8
16-8=8
Use a calculator to find the square root of 8.
Answer:
Step-by-step explanation:
AE is 9. ED is 6. The triangle ABE is proportional to ACD, so their sides are proportional. For example, AE:ED = AB:BC. So, ED/AE = 2/3 = BC/AB. This gives us 2/3 = x/10, which gives us x=6.6667
Answer:
If 0.25 oz of yeast is used, then 50oz of flour is needed.
It would require 0.5 oz of yeast for 90 oz the flour.
Step-by-step explanation:
We know that the proportion of yeast (y) and flour (f) is 1: 200 when a maximum of 30 servings of bread is made. This is:
So if we use 0.25 oz of yeast:
if 0.25 oz of yeast is used, then 50oz of flour is needed.
If you make 60 servings of bread with 90 oz. Of flour, then you should keep the following ratio:
So, if we use f = 90 0z of flour:
It would require 0.5 oz of yeast.