There is thought among some people at your facility that the old method and the new method are producing product at different thicknesses. You DO NOT WANT the methods to be different. In fact, you want the methods to be producing products that have the same average. If the method averages are significantly different, you have a problem! To address this, you suggest using a T test. If the null is NOT rejected--that is good news! The team agrees that a sample size of 20 is adequate for the sample from the new process for this test. You already know the mean for the old process. The team decides to use a significance level of 0.05 for the test. Instructions for you: Construct and interpret a t-Test comparison of the Old Method Average (0.0126) vs. the Recent Method. Data: New method 0.014 0.013 0.015 0.011 0.012 0.007 0.015 0.013 0.013 0.014 0.013 0.015 0.011 0.012 0.013 0.016 0.015 0.013 0.012 0.011 0.000001 0.000000 0.000004 0.000003 0.000000 0.000035 0.000004 0.000000 0.000000 0.000001 0.000000 0.000004 0.000003 0.000000 0.000000 0.000009 0.000004 0.000000 0.000000 0.000003 How to submit an Assignment Project: Deliverable: Student last name: State the null hypothesis::: State the alt. hypothesis::: MAM Manufacturing 2016 T Test t test statistic (round to 6 decimal places): What is the critical value? Use 6 decimal places. State your bottom-line conclusion in the words of the problem addressed by this study. (Do not use generic hypothesis test wording.)