II. Solve the following problems involving Test of Difference of Means. Show your full solution including hypotheses and conclusion. 2.A factory worker operates on 2 shifts a day, a day shift and an afternoon-to-evening shift. While the production manager believes that the average output per worker is higher during the day shift than it is during the night, there are still times that he cannot be certain as he has observed some night shift workers to be quite alert. He decides to find out by recording the output of a sample of 50 workers during the day whose average output is 250 units with standard deviation of 15 units and those of a sample of 40 workers from the night shift whose mean output was 240 units with a standard deviation of 10 units. At 1% Level of Significance, do the sample results support the manager's observation about the day shift productivity being higher than that of the night shift?

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II. Solve the following problems involving Test of Difference of Means. Show your full solution including hypotheses
and conclusion.
2.A factory worker operates on 2 shifts a day, a day shift and an afternoon-to-evening shift. While the production
manager believes that the average output per worker is higher during the day shift than it is during the night, there
are still times that he cannot be certain as he has observed some night shift workers to be quite alert. He decides to
find out by recording the output of a sample of 50 workers during the day whose average output is 250 units with
standard deviation of 15 units and those of a sample of 40 workers from the night shift whose mean output was 240
units with a standard deviation of 10 units. At 1% Level of Significance, do the sample results support the manager's
observation about the day shift productivity being higher than that of the night shift?
Transcribed Image Text:II. Solve the following problems involving Test of Difference of Means. Show your full solution including hypotheses and conclusion. 2.A factory worker operates on 2 shifts a day, a day shift and an afternoon-to-evening shift. While the production manager believes that the average output per worker is higher during the day shift than it is during the night, there are still times that he cannot be certain as he has observed some night shift workers to be quite alert. He decides to find out by recording the output of a sample of 50 workers during the day whose average output is 250 units with standard deviation of 15 units and those of a sample of 40 workers from the night shift whose mean output was 240 units with a standard deviation of 10 units. At 1% Level of Significance, do the sample results support the manager's observation about the day shift productivity being higher than that of the night shift?
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