Answer:
<h3>For ANOVA, the test statistic is called an <u>F-statistic</u> test statistic (also called a <u>F-statistic </u>-ratio), which is the variance (2) samples (a.k.a., variation due to treatment) divided by the variance (3) samples (a.k.a., variation due to error or chance).</h3>
Step-by-step explanation:
- For Analysis of Variance the F-statistic is the Variation between Means of Sample or Variation within the Samples
- For F-tests the F-statistic is the test statistic .
- Generally, an F-statistic is also called as a ratio of two quantities between (here the variance (2) samples (a.k.a., variation due to treatment) divided by the variance (3) samples (a.k.a., variation due to error or chance)). which results an F-statistic of approx 1.
For ANOVA, the test statistic is called an <u>F-statistic</u> test statistic (also called a <u>F-statistic </u>-ratio), which is the variance (2) samples (a.k.a., variation due to treatment) divided by the variance (3) samples (a.k.a., variation due to error or chance).
Answer: im pretty sure this is correct
- 1/42 x (21x233y)
Step-by-step explanation:
first convert the expressions (2 3/10x x5/7 x y-2 4/5 x x )
then factor the expression (23/10 x- 5/7 y- 29/6 y- 14/5x )
then collect like terms (1/210 x 483 x - 150 y - 1015 - 588x)
factor the expression (1/210 x 105x 1165y)
Multiply reduce (1/210 x -5 (21x + 233y ))
= -1/42 x (21x233y)
Its A. 10,000 divided by 250 is 40. Then multiply 40 by 2 and you get 80
10,000 / 250 = 40
40 * 2 = 80
80= A.
Answer:
D
Step-by-step explanation:
you can just find the value of y and try some number of x
i.e. if x = 0, both of them will be 0
x = 1
G(x) result is -2
F(x) result is 1
x= -1
G(x) result will be 2
F(x) result is -1
so from these we can prove that G(x) is bigger graph than F(x) but flip vertically by y axis
Answer: the answer is 0.6
Step-by-step explanation:
you divide 3 by 5