Chapter 11: Q. 95 (page 665)
Read the statement and decide whether it is true or false.
The test for independence uses tables of observed and expected data values.
Short Answer
The statement is true.
Chapter 11: Q. 95 (page 665)
Read the statement and decide whether it is true or false.
The test for independence uses tables of observed and expected data values.
The statement is true.
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Get started for freeTransit Railroads is interested in the relationship between travel distance and the ticket class purchased. A random sample of passengers is taken. Table 11.31 shows the results. The railroad wants to know if a passenger’s choice in ticket class is independent of the distance they must travel.
State the hypothesis:
:
:
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
Conduct a goodness-of-fit test to determine if the actual college majors of graduating males fit the distribution of their expected majors.
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.
You want to buy a specific computer. A sales representative of the manufacturer claims that retail stores sell this computer at an average price of with a very narrow standard deviation of . You find a website that has a price comparison for the same computer at a series of stores as follows: . Can you argue that pricing has a larger standard deviation than claimed by the manufacturer? Use the significance level. As a potential buyer, what would be the practical conclusion from your analysis?
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