In: Statistics and Probability
To meet the standards in the shipment of a chemical product, the percentage of pollution the variance must not exceed 4.
H0: ?2 = 4
H1: ?2 > 4
In a random sample of 20 shipments, variance of pollution percentages have been found as 5.62. Accordingly, find the power of the test for ?2 = 7
This is test for one variance. So we will use chi-square distribution.This is right tailed test because we are checking for the greater than side.
Sx^2 = sample variance =5.62 n = 20
H0: ?2 = 4
H1: ?2 > 4
Test Stat=
Where the null variance = 4
Test Stat = 26.695
p-value = P( > Test stat) ...................df = n-1
=P( > 26.70)
p-value = 0.112
level of significance = 0.05
Since p-value > 0.05
We do not reject the null hypothesis. There is not sufficient evidence to support that percentage exceeds 4.
To find the power of test we need to find the probability of type 2 error ()
Type 2 error is failing to reject a false null hypothesis.
= P( Non rejection of null | null hypothesis is false)
Not reject null hypothesis when
p-value > 0.05
P(( > ) > 0.05
We find the critical value at p = 0.05 with df = 19
> 30.1435
We sub all values except the sample variance
Sx2 < 6.346 ...........sign changes because we are dividing by n -1
= P( Non rejection of null | null hypothesis is false)
= P( < | at ?2 = 7)
=1 - P( > )
= 1 - 0.5746
= 0.4254
Power of test = 1 - ...................using chi-square tables
power of test = 0.57434