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A manufacturer of liquid detergent is interested in the uniformity of the machine used to fill bottles. Specifically, it is desirable that the standard deviation σof the filling process be less than 0.25 fluid ounces; otherwise, there will be a higher than desirable percentage of bottles that are underfilled. We will assume that fill volume is approximately normally distributed. A random sample of 20 bottles in a sample variance of s2= 0.0153 (fluid ounces)2. At a 95% upper-confidence interval will the target of σ= 0.25 oz be met? Explain by using the P-value
.H0: σ2=0.0625
H1: σ2>0.0625
χ2= (20-1)(0.0153)/0.0625 = 4.6512
χ2.95,19= 30.14
Since χ2.95,19> χ2, fail to reject the null hypothesis that σ2= 0.0625The actual p-value is < 0.005.
To test against
Here
sample variance
and sample size
The test statistic can be written as
which under H0 follows a chi square distribution with n-1 df.
We reject H0 at 95% confidence level if P-value < 0.05
Now,
The value of the test statistic
and P-value =
Since P-value < 0.05, so we reject H0 at 95% confidence level and we can conclude that the standard deviation σof the filling process is significantly less than 0.25.
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