In: Statistics and Probability
Tylenol needs to make sure that the standard deviation for the amount of acetaminophen in its regular strength tablet must be less than 5 mg. To test this, the quality control manager randomly selects 20 pills and found that the standard deviation amount of acetaminophen was 3.89 mg. Test the claim at the α=0.10 level of significance. Note: The data is normal with no outliers.
Here, we have to use Chi square test for the population variance or standard deviation.
The null and alternative hypotheses for this test are given as below:
Null hypothesis: H0: The standard deviation for the amount of acetaminophen in its regular strength tablet is 5 mg.
Alternative hypothesis: Ha: The standard deviation for the amount of acetaminophen in its regular strength tablet is less than 5 mg.
H0: σ = 5 versus Ha: σ < 5
This is a lower tailed test.
The test statistic formula is given as below:
Chi-square = (n – 1)*S^2/ σ2
From given data, we have
n = 20
S = 3.89
σ = 5
Chi-square = (20 - 1)*3.89^2/5^2
Chi-square = 11.5004
We are given
Level of significance = α = 0.05
df = n – 1
df = 19
Critical value = 11.6509
(by using Chi square table or excel)
Test statistic Chi-square = 11.5004 < Lower Critical value = 11.6509
So, we reject the null hypothesis
There is sufficient evidence to conclude that the standard deviation for the amount of acetaminophen in its regular strength tablet is less than 5 mg.