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In the last quarter of 2007 a group of 64 mutual funds had a mean return of 0.9% with a standard deviation of 5.2%. Consider the normal model N(0.009.052) for the returns of these mutual funds.
a. What value represents the 40th percentile of these returns?
b. What value represents the 99th percentile?
c. What is the IQR, or interquartile range of the quarterly range of this group of funds?
Which of the following models are appropriate to forecast a time series whose amplitude increases over time?
To forecast attendance at an yearly tennis tournament a model has been developed that uses attendance from the previous year and the amount spent for advertising this year.
Evaluate the probability that patient taking drug will experience flu symptoms.
The level of significance is quantitatively defined as ? and the statistical power of a test is quantitatively defined as 1-?
Describe the independent variable and the dependent variables?
At a 5% level of significance, is there sufficient evidence that the population mean waiting time is now less than 3.7 minutes?
Is this an ideal data collection method? Can the results be considered reliable? Can the gathered data be representative of the population?
At 5% level of significance, is true mean smaller than specification? Clearly mention your hypotheses and decision rule.
If the loss of weight of customers at the end of their first month is normally distributed with a mean of 6.7lbs and a standard deviation of 0.81lbs
If p is the probability of Event 1 and (1-p) is the probability of Event 2, based on the expected returns, for what values of p would you select A? B? C? Values in the table are payoffs.
Did you find any outliers on the dependent variables that were due to errors of coding? If so, what and why? How would you correct an error of coding?
Testing for population mean - What happens as you use different levels of significance? Different values of the standard deviation?
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