Chapter 11: Q.68 (page 658)
What can you conclude at the significance level ?
We cannot reject the null hypothesis. There is enough evidence to conclude that the standard deviation is greater than .
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use a solution sheet to solve the hypothesis test problem. Go to Appendix E for the chi-square solution sheet. Round expected frequency to two decimal places car manufacturers are interested in whether there is a relationship between the size of the car an individual drives and the number of people in the driver’s family (that is, whether car size and family size are independent).To test this, suppose that car owners were randomly surveyed with the results in Table . Conduct a test of independence.
| Family Size | Sub & Compact | Mid-size | Full-size | Van & Truck |
Table 11.44
Suppose an airline claims that its flights are consistently on time with an average delay of at most minutes. It claims that the average delay is so consistent that the variance is no more than minutes. Doubting the consistency part of the claim, a disgruntled traveler calculates the delays for his next flights. The average delay for those flights is minutes with a standard deviation of minutes.
If an additional test were done on the claim of the average delay, but 45 flights were surveyed, which distribution would you use?
Use the following information to answer the next nine exercise: The following data are real. the cumulative number of AIDS cases reported for Santa Clary Country is broken down by ethnicity as in table 11.29
The percentage of each ethnic group in Santa Clary Country is as in Table shown below
If the ethnicities of AIDS victims followed the ethnicities of the total country population, fill in the expected number of cases per ethnic group.
Perform a goodness-of-fit test to determine whether the occurance of AIDS cases follows the ethnicities of the general population of Santa Clary Country
Read the statement and decide whether it is true or false.
In a goodness of fit test, if the p-value is , in general, do not reject the null hypothesis
Isabella, an accomplished Bay to Breakers runner, claims that the standard deviation for her time to run the mile race is at most three minutes. To test her claim, Rupinder looks up five of her race times. They are minutes, minutes, minutes, minutes, and minutes.
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