2.3 Using a 0.05 alpha level, an F-test has been conducted to check if the two samples have equal or unequal variances. Excel returns the following table:
F-Test Two-Sample for Variances |
||
New Site Avg. Revenue Per Visitor |
Old Site Avg. Revenue Per Visitor |
|
Mean |
$1 238,43 |
$570,63 |
Variance |
$524743,33 |
$207230,17 |
Observations |
30 |
30 |
df |
29 |
29 |
F |
2.532176 |
|
P(F<=f) one-tail |
0.0073850 |
|
F Critical one-tail |
1.8608114 |
What conclusions can be drawn from the results of the F-test, and what are the implications of these results? Justify your answer by referring to the relevant values in the table above. Your answer may not exceed 100 words.
Hypothesis :
H0 : 12 = 22 i.e. Two sample variances are equal.
H1: 1222 i.e. Two sample variances are unequal.
Test criterion -
We reject H0 if calculated F > F critical one tail.
In given problem, we have calculated F = 2.532176 & F critical one tail = 1.8608114.
So, calculated F > F critical one tail hence, we reject H0 at 5% level of significance.
Hence, two sample variances are unequal.
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