This table shows the number of defects, tailed by day of the week, in a manufacturing proce This table shows the number of defects, tailed by day of the week, in a manufacturing process: Monday | Tuesday | Wednesday | Thursday | Friday| Number| 36 | 23 | 26 | 25 | 40 | The manufacturer is concerned that the number of defects is greater on Monday and Friday. Test, at the 0.05 level of significance, the claim that the proportion of defects is the same each day of the week. Be sure to include all steps of a hypothesis testing procedure. Solution H0: The proportion of defects are the same on all days Ha:atleast 2 days have different proportions Two tailed chi square test Contingency table is prepared as follows with expected equally distributed df =4 p value =0.1102 As p >0.05 accept null hypothesis All proportions are equalMonTuesWedThursFriNumber3623262540150Expected3030303030150Chi squar1.21.6333330.5333330.8333333.3333337.533333.