Answer:
2+2=4
Step-by-step explanation:
Answer:
c) is true
Step-by-step explanation:
Given are four statements. Let us check one by one
a) If the calculated value of F statistic is higher than the critical value, we reject the alternative hypothesis in favor of the null hypothesis
False, we reject H0 in favour or alternate
b) The F statistic is always nonnegative as SSRr is never smaller than SSRur.
F statistics is non negative but reason is bot SSRr and SSRur are positive
Not because SSRr is never smaller than SSRur
c) Degrees of freedom of a restricted model is always less than the degrees of freedom of an unrestricted model.
This is true because in a restricted we put constraints thus df will be less
d) The F statistic is more flexible than the t statistic to test a hypothesis with a single restriction.
False. F statistic is for testing variances while t statistic for means.
Proof<span> by contradiction........... </span>
Answer:
Step-by-step explanation:
![= (x +1 ) \cdot \frac{(2x - 1)^{\frac{3}{2}}}{3} - \int \frac{(2x - 1)^{\frac{3}{2}}}{3} dx \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ [ \ u = x + 1 => du = dx \ ]](https://tex.z-dn.net/?f=%3D%20%28x%20%2B1%20%29%20%5Ccdot%20%5Cfrac%7B%282x%20-%201%29%5E%7B%5Cfrac%7B3%7D%7B2%7D%7D%7D%7B3%7D%20-%20%5Cint%20%5Cfrac%7B%282x%20-%201%29%5E%7B%5Cfrac%7B3%7D%7B2%7D%7D%7D%7B3%7D%20dx%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%20%5B%20%5C%20u%20%3D%20x%20%2B%201%20%3D%3E%20du%20%3D%20dx%20%20%5C%20%5D)
