(c) Carry out an appropriate hypothesis test at a = 0.05 to see whether the 2016 census proportions for the 3 income groups for Edmonton (from Question 1, part (a)) are incorrect for the sample dataset. State the null and alternative hypotheses. Report the value of the appropriate test statistic, the distribution of the test statistic under the null hypothesis, and the P-value of the test to answer the question. State your conclusion.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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QUESTION (3C.PNG) 

BASIS OF THE DATA (DATA.PNG)

Contingency table results:
Contingency table results:
Rows: Edmonton Group
Columns: None
Rows: Calgary Group
Columns: None
Cell format
Cell format
Count
Count
(Column percent)
(Column percent)
Edmonton Sum
Total
Calgary Sum
Total
1
115100
115100
1
109375
109375
(22.92%)
(22.92%)
(21.05%)
(21.05%)
151565
151565
2
151590
151590
(30.18%)
(30.18%)
(29.17%)
(29.17%)
3
235485
235485
3
258720
258720
(46.9%)
(46.9%)
(49.78%)
(49.78%)
Total 502150
502150
Total 519685
519685
(100%)
(1006)
(100%)
(100%)
Chi-Square test:
Chi-Square test:
Statistic DF
Value
P-value
Statistic DF
Value
P-value
Chi-square o 5.3412283e-25 1
Chi-square o 1.7237062e-25 1
Transcribed Image Text:Contingency table results: Contingency table results: Rows: Edmonton Group Columns: None Rows: Calgary Group Columns: None Cell format Cell format Count Count (Column percent) (Column percent) Edmonton Sum Total Calgary Sum Total 1 115100 115100 1 109375 109375 (22.92%) (22.92%) (21.05%) (21.05%) 151565 151565 2 151590 151590 (30.18%) (30.18%) (29.17%) (29.17%) 3 235485 235485 3 258720 258720 (46.9%) (46.9%) (49.78%) (49.78%) Total 502150 502150 Total 519685 519685 (100%) (1006) (100%) (100%) Chi-Square test: Chi-Square test: Statistic DF Value P-value Statistic DF Value P-value Chi-square o 5.3412283e-25 1 Chi-square o 1.7237062e-25 1
3. Using the file lab3b-sample.xt, create frequency tables (showing both frequeney and relative
frequeney) to summarize the distribution of income groups for houscholds in Edmonton.
(c) Carry out an appropriate hypothesis test at a = 0.05 to see whether the 2016 census proportions for
the 3 income groups for Edmonton (from Question 1, part (a)) are incorrect for the sample dataset.
State the null and alternative hypotheses. Report the value of the appropriate test statistic, the
distribution of the test statistic under the null hypothesis, and the P-value of the test to answer the
question. State your conclusion.
Transcribed Image Text:3. Using the file lab3b-sample.xt, create frequency tables (showing both frequeney and relative frequeney) to summarize the distribution of income groups for houscholds in Edmonton. (c) Carry out an appropriate hypothesis test at a = 0.05 to see whether the 2016 census proportions for the 3 income groups for Edmonton (from Question 1, part (a)) are incorrect for the sample dataset. State the null and alternative hypotheses. Report the value of the appropriate test statistic, the distribution of the test statistic under the null hypothesis, and the P-value of the test to answer the question. State your conclusion.
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