A recent analysis has found that the application of resistive glazing to reduce emissions from a factory component has an acceptable variance of: 0.00050 and that this resistive glazing is applied in a normally distributed manner. Your company has taken a sample of your factory components and found that from the 24 polled components that you have a variance of tests representing a variance of 0.00067 which is also normally distributed. Given these figures, is there sufficient evidence to support the claim that the glazing process is out of control testing for variance? Use a 0.01 level of significance.

Follow the 5-step process for hypothesis test using both the classical and p-value approach, clearly identifying the steps and actions taken at each step similar to as discussed in class. Conduct a separate step for 4 and 5 for each approach respectively. Furthermore, clearly state your conclusions about the hypothesis. An appropriate number of decimal points should be taken which will differ based on step of solution.