
Concept explainers
(a)
To make an appropriate display of these data.
(a)

Explanation of Solution
It is given in the question that Roper Reports asked the question from different age groups teens and record their responses. The table is as follows:
Agree Completely | Agree somewhat | Neither disagree nor agree | Disagree somewhat | Disagree completely | Total | |
Teen | 369 | 540 | 299 | 175 | 106 | 1489 |
30's | 272 | 522 | 325 | 229 | 170 | 1518 |
60+ | 93 | 207 | 153 | 154 | 178 | 785 |
Total | 734 | 1269 | 777 | 558 | 454 | 3792 |
Thus, the appropriate display of the data will be as:
Thus, by looking at the graph we can say that the teens and the other age groups have higher responses for agree somewhat option. The skewed of the bars are right skewed as the bars are smaller on the right.
(b)
To explain does a person’s age seem to affect their response to the question about nibbling.
(b)

Answer to Problem 20RE
There is insufficient evidence that a person’s age seem to affect their response to the question about nibbling.
Explanation of Solution
It is given in the question that Roper Reports asked the question from different age groups teens and record their responses. The table is as follows:
Agree Completely | Agree somewhat | Neither disagree nor agree | Disagree somewhat | Disagree completely | Total | |
Teen | 369 | 540 | 299 | 175 | 106 | 1489 |
30's | 272 | 522 | 325 | 229 | 170 | 1518 |
60+ | 93 | 207 | 153 | 154 | 178 | 785 |
Total | 734 | 1269 | 777 | 558 | 454 | 3792 |
Thus, to test a hypothesis of homogeneity or independence, we will use the calculator TI−89 so, we need to enter the data as a matrix. From the home screen, press APPS and select 6: Data/Matrix Editor, then select 3: New. Specify type as Matrix and name the matrix in the Variable box. Specify the number of rows and columns. Type the entries, pressing ENTER after each. Press 2nd ESC to leave the editor. To do the test, choose 8:Chi2 2-way from the STAT Tests menu. The hypothesis is defined as:
Null hypothesis: A person’s age do not affect their response to the question about nibbling.
Alternative hypothesis: A person’s age seem to affect their response to the question about nibbling.
Thus, by using the calculator TI−89 , the test statistics and the P-value is as:
df=8χ2=190.96P>0.10
As we know that if the P-value is less than or equal to the significance level then the null hypothesis is rejected, so we have,
P>0.05⇒Fail to Reject H0
Thus, we conclude that there is insufficient evidence that a person’s age seem to affect their response to the question about nibbling.
Chapter PVII Solutions
Stats: Modeling the World Nasta Edition Grades 9-12
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