Chapter 11: Q.68 (page 658)
What can you conclude at the significance level ?
Short Answer
We cannot reject the null hypothesis. There is enough evidence to conclude that the standard deviation is greater than .
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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Get started for freeuse 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
A psychologist is interested in testing whether there is a difference in the distribution of personality types for business majors and social science majors. The results of the study are shown in Table. Conduct a test of homogeneity. Test at a level of significance.
Read the statement and decide whether it is true or false.
The test to use to determine if a six-sided die is fair is a goodness-of-fit test.
A teacher predict that the distribution of grades on the final exam will be and they are recorded in table 11.27
The actual distribution for a class of 20 is in table 11.28
Determine P value.
The Insurance Institute for Highway Safety collects safety information about all types of cars every year, and publishes a report of Top Safety Picks among all cars, makes, and models. Table 11.58 presents the number of Top Safety Picks in six-car categories for the two years 2009 and 2013. Analyze the table data to conclude whether the distribution of cars that earned the Top Safety Picks safety award has remained the same between 2009 and 2013. Derive your results at the 5%
significance level.
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