Answer:
30x10 12
Step-by-step explanation:
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:
Step-by-step explanation: its yo mama :)
Answer:
B. x = 2
Step-by-step explanation:
Answer:
x = 2
Step-by-step explanation:
check by substituting each given value of x into the function
x = 0 ⇒ y = × 0² = 0
hence (0, 0) is correct
x = 2 ⇒ y = × 4 = 3
hence (2, 4 ) is incorrect
x = 3 ⇒ y = × 9 = 6
hence (3, 6 ) is correct
x = 5 ⇒ y = × 25 = 18
hence (5, 18 ) is correct
[(1515+1010) / 55] x 33 = 1515
If you calculate separately for pink and red using above formula (909pink, 606red, which equals to the same 1515)
Hope that answers it for you..
