Based on the problem data and considering a 95% confidence level: 1) Complete the above table (except the P-value column). 2) Describe the null and alternative hypothesis tests in the corresponding ANOVA analysis. 3) Identify factor(s) that significantly affect the customer response rate. Justify your answer by the aid of statistical inference. 4) Is ANOVA adequate for identifying the appropriate levels of significant factors so as to maximize the response rate? Which statistical tool is useful in this regard? Problem 4 (12 marks) In a green belt Six Sigma project, the team is investigating the root causes of stoppages in a production line that incorporates 2 stations. The team has identified 3 categories of stoppages, including, oil changes, tire rotations, and tune-ups. After collecting the data from the two stations, the following contingency table was developed by the team. Categories Oil changes Tire rotations Tune-ups Total Station Station 1 100 50 60 210 Station 2 92 102 85 279 Total 192 152 145 489 Based on the above data, test the null hypothesis indicating that both stations have almost the same average number of stoppages in all categories versus the hypothesis that there is a statistically significant difference between them at a confidence level of 95%