Could you please clarify the question please by putting a question to be solved? Or are you asking for the definition?
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.
Answer: 3t-8
Step-by-step explanation:
<em>3t-8 is the answer because there are no like terms.</em>
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9514 1404 393
Answer:
r = √(V/(πh))
Step-by-step explanation:
To solve for r, "undo" what has been done to r. The "undo" is generally in the reverse order. Here, we have ...
- r is squared
- the square is multiplied by πh
To undo these operations, we ...
V/(πh) = r² . . . . . . . . divide by πh
√(V/(πh)) = r . . . . . . take the square root
r = √(V/(πh))
