A random sample of residents from various income brackets was asked their opinion on tax reform for the country of Guyana. The data so gathered were analyzed by a statistician and the results he obtained using MINITAB are shown below: Expected counts are printed below observed counts Low Middle High Total For 26 (30.67) 75 (51.11) 14 (33.22) 115 Against 60 (69.33) 95 (115.56) 105 (**) 260 Neutral 34 (20) 30 (33.33) 11 (21.67) 75 Total * 200 130 450 Chi-sq = 0.71 + 11.17 + 11.12 + *** + 3.66 + 11.89 + 9.8 + 0.33 + 5.25 = 55.2 DF =??, p-value =??? Carefully define the null and alternative hypotheses of the x2 test underlying the generation of the above table. Find the missing values ‘*’, ‘**’, ‘***’, ‘??’ and ‘???’. What is the conclusion of this test? Give reasons for your answer
A random sample of residents from various income brackets was asked their opinion on tax reform for the country of Guyana. The data so gathered were analyzed by a statistician and the results he obtained using MINITAB are shown below: Expected counts are printed below observed counts Low Middle High Total For 26 (30.67) 75 (51.11) 14 (33.22) 115 Against 60 (69.33) 95 (115.56) 105 (**) 260 Neutral 34 (20) 30 (33.33) 11 (21.67) 75 Total * 200 130 450 Chi-sq = 0.71 + 11.17 + 11.12 + *** + 3.66 + 11.89 + 9.8 + 0.33 + 5.25 = 55.2 DF =??, p-value =??? Carefully define the null and alternative hypotheses of the x2 test underlying the generation of the above table. Find the missing values ‘*’, ‘**’, ‘***’, ‘??’ and ‘???’. What is the conclusion of this test? Give reasons for your answer
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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A random sample of residents from various income brackets was asked their opinion on tax reform for the country of Guyana. The data so gathered were analyzed by a statistician and the results he obtained using MINITAB are shown below:
Expected counts are printed below observed counts
|
Low |
Middle |
High |
Total |
For |
26 (30.67) |
75 (51.11) |
14 (33.22) |
115 |
Against |
60 (69.33) |
95 (115.56) |
105 (**) |
260 |
Neutral |
34 (20) |
30 (33.33) |
11 (21.67) |
75 |
Total |
* |
200 |
130 |
450 |
Chi-sq = |
0.71 + |
11.17 + |
11.12 + |
|
|
*** + |
3.66 + |
11.89 + |
|
|
9.8 + |
0.33 + |
5.25 = |
55.2 |
DF =??, p-value =???
- Carefully define the null and alternative hypotheses of the x2 test underlying the generation of the above table.
- Find the missing values ‘*’, ‘**’, ‘***’, ‘??’ and ‘???’.
- What is the conclusion of this test? Give reasons for your answer.
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