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It seems these days that college graduates who are employed full-time work more than 40-hour weeks. Data are available that can help us decide if this is true. A survey was recently sent to a group of adults selected at random. There were 21 respondents who were college graduates employed full-time. The mean number of hours worked per week by these 21 respondents was 44 hours, with a standard deviation of 9 hours.
Assume that the population of hours worked per week by college graduates employed full-time is normally distributed with mean . Can we conclude that is greater than 40 hours? Use the .01 level of significance.
Perform a one-tailed test. Then fill in the table below.
1. Null hypothesis
2. Alternative hypothesis
3. What kind of test statistic t z chi f
4. Test statistic (3 decimal places)
5. P value (3 decimal places)
6. Can we conclude that the mean number of hours is greater than 40
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Fidelity Magellan is a large cap growth mutual fund and Fidelity Small Cap Stock is a small cap growth mutual fund (Morningstar Funds 500, 2006).
Assume you have drawn a simple random sample of 10 students from a college campus and recorded how many hours each student studies (X) during the ¯rst week of December, 2009. Results:
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Suppose that it is important to demonstrate that the wall thickness exceeds 4.0 mm. Test appropriate hypotheses using these data. Draw conclusions at α= 0.05.
In the following example, why would Chebyshev's Theorem be used instead of the Empirical Rule?
For a t distribution with 16 degrees of freedom, find the area, or probability, in each region.
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Explain the relationship between total gross and opening gross total gross and number of theatres total gross and week in top 60.
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