Group Homework 1 Please submit just one power point file per team. On the first slide please list the names of team members (alphabetically, by last name). Use no more than 8 slides including the title slide. Although this is a team effort, my expectation is that each person should be able to do the work on their own, in entirety. Calculating threshold values in hypothesis testing Given a sample size n, significance level o, we can determine the 'threshold' value of the sample proportion (ps) which will lead to the rejection of the null hypothesis. Consider the following example. Suppose we want to test the hypothesis that the defect rate in a cell-phone manufacturing plant has reduced to below 50%. In other words, we want to test: Ho: p=>0.50 Hi: p0.20 Hi: p0.20) negates their chances of selling their software to YouDee. Write a similar statement (like the underlined part above) based on your answer to Q5? Should BAIM be happy or unhappy with the probability you calculated in Q5? Q7 How would your answers to Q3 and Q6 change if YouDee were to increase the sample size from n=100 to n=400? Be sure to address all three items below: In Q3, with n=100 the threshold was: , with n=400, the new threshold is In Q6, with n=100, the probability of exceeding the threshold is . while with n=400, the probability of exceeding the threshold is If you were BAIM, which sample size would you prefer, 100 or 400, and why? *Optional: the link below shows how companies account (determine the cost) of lost productivity due to spam. For YouDee, justifying the cost of new software will depend on breaking even with expected savings from reduction in spam (e.g., going from 25% to