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Quarterly customer surveys are taken at a medical center. Each individual department has scores and is comparted to the medical center average. Department of Physical Therapy had scores of 9.14, 9.19 and 7.75 for quarters 1-3 respectively. The medical center had scores of 9.01, 9.00 and 9.05 for quarters 1-3 respectively.
The mean average customer service score for PT for quarters 1-3, 2007 is 8.69. The mean average for the medical center during the same time frame is 9.02.
What is the probability that quarter 4 PT scores will be less than a 10% standard deviation less than the medical center average warranting an action plan? Show a 95% realiabilty.
Two tailed test.
The null hypothesis is that The dept. of PT will score equal to or greater than the medical center average in quarter 4. The alternative hypothsis is that the dept. of PT will score less than the medical center average.
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etting the significance level at a very high cutoff (such as 15%) increases chances of what type of error? Why do Type II errors concern scientists? Why have confidence levels of significance been set at 5% and 1%?
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