What is the most critical condition which can affect the val

What is the most critical condition which can affect the validity of a test using the F distribution? Why does this condition have such a great effect on the validity of the test?

Solution

he f statistic, also known as an f value, is a random variable that has an F distribution. (We discuss the F distribution in the next section.)

Here are the steps required to compute an f statistic:

The following equivalent equations are commonly used to compute an f statistic:

f = [ s12/12 ] / [ s22/22 ]
f = [ s12 * 22 ] / [ s22 * 12 ]
f = [ 21 / v1 ] / [ 22 / v2 ]
f = [ 21 * v2 ] / [ 22 * v1 ]

The distribution of all possible values of the f statistic is called an F distribution, with v1 = n1 - 1 andv2 = n2 - 1 degrees of freedom.

The curve of the F distribution depends on the degrees of freedom, v1 and v2. When describing an F distribution, the number of degrees of freedom associated with the standard deviation in the numerator of the f statistic is always stated first. Thus, f(5, 9) would refer to an F distribution with v1 = 5 and v2 = 9 degrees of freedom; whereas f(9, 5) would refer to an F distribution with v1 = 9 and v2 = 5 degrees of freedom. Note that the curve represented by f(5, 9) would differ from the curve represented by f(9, 5).

The F distribution has the following properties:

What is the most critical condition which can affect the validity of a test using the F distribution? Why does this condition have such a great effect on the va

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