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1. Suppose that WAL*MART receives 1000 60-Watt light bulbs from a producer. Before the manager accepts these light bulbs, they have to be tested to see if they are qualified. The qualification is that any light bulb has at least 1000 life hours. It is impossible to test all 1000 bulbs due to high costs. So, the manager only randomly selects 20 bulbs to test. If the test can pass, then the manager will accept these products. If not, they will be returned to the producer. Therefore, the manager forms a two-tailed test. The null hypothesis is: the population mean of a light bulb’s life hours is equal to 1000 hours; while the alternative hypothesis is: the population mean of a light bulb’s life hours is not equal to 1000 hours. The sample mean of a light bulb’s life hours is equal to 1010 hours. The manager does not have any further information about the population, so he uses the Z test statistic. Does the manager develop a correct hypothesis test and use a correct test statistic? If you think yes, explain why you think yes; if no, explain why not and how to develop a correct hypothesis test. Also, explain what it will happen (including the test statistic and p-value) if the manager develops a wrong hypothesis test? Discuss and explain your reasons. You must provide your statistical analysis and reasons. The minimum requirement for your discussion is 150 words, while the minimum requirement for your comment on a classmate’s discussion is 100 words. I look for quality of answers. Short responses to the discussion question will not earn full points. 2. One Management professor adopted a crossword puzzle exercise in his introductory management information systems (MIS) class, because he believes that the most important effects of engaging in a crossword exercise is the great workout it gives one’s brain—solving crossword puzzles requires several skills, such as spelling, reasoning, making inferences, evaluating choices, and drawing conclusions. That is, the exercise may enhance one’s ability to memorize words. He wants to know whether or not the crossword puzzle exercise can accelerate the learning of MIS vocabulary and terms. A total of 109 students in his two sections of a MIS class in fall 2009 participated in an experiment involving student learning and retention of MIS terms using the crossword puzzle exercise. One section (56 students) was defined as a control group, while the other section (53 students) was defined as an experimental group. One day about two weeks before the end of semester, students in the control group were given a list of terms taken from the text book used in the course; students in the experimental group were given a crossword puzzle exercise containing terms and phrases taken from the same text book and based on the same list of terms given to the control group. Before an in-class quiz, both groups had forty minutes to use their handouts to prepare; after forty minutes, both groups were given the same quiz. To ensure that experimental subjects worked the crossword puzzle, they had to submit a complete puzzle to the professor prior to the quiz. After the quiz, the professor computed the proportion of students who received A and B grades of the quiz for these two groups. If the proportion of A and B grades is significantly high, it implies that the crossword puzzle exercise may accelerate student learning. The proportion of the experimental group is 0.7547, while the proportion of the control group is 0.6429. He then developed a two-tailed test. The null hypothesis is: the proportion of A and B grades in the experimental group that used the crossword puzzle handout as an aid in studying for their quiz is not different from the proportion of A and B grades in the control group that did not have that handout. The alternative hypothesis is: the proportion of A and B grades in the experimental group that used the crossword puzzle handout as an aid in studying for their quiz is different from the proportion of A and B grades in the control group that did not have that handout. Since he did not have any further information about the population, he used t test statistic. Did the professor develop a correct hypothesis test and use a correct test statistic? If you think yes, explain why you think yes; if no, explain why not and how to develop a correct hypothesis test. Also, explain what it will happen (including the test statistic and p-value) if the professor developed a wrong hypothesis test? Discuss and explain your reasons. You must provide your statistical analysis and reasons. The minimum requirement for your discussion is 150 words, while the minimum requirement for your comment on a classmate’s discussion is 100 words. I look for quality of answers. Short responses to the discussion question will not earn full points.

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