Contingency Tables default ed No Yes Total Did not complete high school Observed 293 79 372 Expected 274.75 97.25 372.00 % within row 78.8 % 21.2 % 100.0 % % within column 56.7 % 43.2 % 53.1 % % of total 41.9 % 11.3 % 53.1 % High school degree Observed 139 59 198 Expected 146.24 51.76 198.00 % within row 70.2 % 29.8 % 100.0 % % within column 26.9 % 32.2 % 28.3 % % of total 19.9 % 8.4 % 28.3 % Some college Observed 57 30 87 Expected 64.26 22.74 87.00 % within row 65.5 % 34.5 % 100.0 % % within column 11.0 % 16.4 % 12.4 % % of total 8.1 % 4.3 % 12.4 % College degree Observed 24 14 38 Expected 28.07 9.93 38.00 % within row 63.2 % 36.8 % 100.0 % % within column 4.6 % 7.7 % 5.4 % % of total 3.4 % 2.0 % 5.4 % Post-undergraduate degree Observed 4 1 5 Expected 3.69 1.31 5.00 % within row 80.0 % 20.0 % 100.0 % % within column 0.8 % 0.5 % 0.7 % % of total 0.6 % 0.1 % 0.7 % Total Observed 517 183 700 Expected 517.00 183.00 700.00 % within row 73.9 % 26.1 % 100.0 % % within column 100.0 % 100.0 % 100.0 % % of total 73.9 % 26.1 % 100.0 % χ² Tests Value df p χ² 11.5 4 0.022 χ² continuity correction 11.5 4 0.022 Fisher's exact test 0.017 N 700 Nominal Value Phi-coefficient NaN Cramer's V 0.128 Is there a relationship between the educational attainment of the respondents in terms of loan/credit default? Which group in terms of educational attainment has high loan/credit default?

Contingency Tables default ed No Yes Total Did not complete high school Observed 293 79 372 Expected 274.75 97.25 372.00 % within row 78.8 % 21.2 % 100.0 % % within column 56.7 % 43.2 % 53.1 % % of total 41.9 % 11.3 % 53.1 % High school degree Observed 139 59 198 Expected 146.24 51.76 198.00 % within row 70.2 % 29.8 % 100.0 % % within column 26.9 % 32.2 % 28.3 % % of total 19.9 % 8.4 % 28.3 % Some college Observed 57 30 87 Expected 64.26 22.74 87.00 % within row 65.5 % 34.5 % 100.0 % % within column 11.0 % 16.4 % 12.4 % % of total 8.1 % 4.3 % 12.4 % College degree Observed 24 14 38 Expected 28.07 9.93 38.00 % within row 63.2 % 36.8 % 100.0 % % within column 4.6 % 7.7 % 5.4 % % of total 3.4 % 2.0 % 5.4 % Post-undergraduate degree Observed 4 1 5 Expected 3.69 1.31 5.00 % within row 80.0 % 20.0 % 100.0 % % within column 0.8 % 0.5 % 0.7 % % of total 0.6 % 0.1 % 0.7 % Total Observed 517 183 700 Expected 517.00 183.00 700.00 % within row 73.9 % 26.1 % 100.0 % % within column 100.0 % 100.0 % 100.0 % % of total 73.9 % 26.1 % 100.0 % χ² Tests Value df p χ² 11.5 4 0.022 χ² continuity correction 11.5 4 0.022 Fisher's exact test 0.017 N 700 Nominal Value Phi-coefficient NaN Cramer's V 0.128 Is there a relationship between the educational attainment of the respondents in terms of loan/credit default? Which group in terms of educational attainment has high loan/credit default?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Related questions

Question

Contingency Tables
	default
ed		No	Yes	Total
Did not complete high school		Observed		293		79		372
	Expected		274.75		97.25		372.00
	% within row		78.8 %		21.2 %		100.0 %
	% within column		56.7 %		43.2 %		53.1 %
	% of total		41.9 %		11.3 %		53.1 %
High school degree		Observed		139		59		198
	Expected		146.24		51.76		198.00
	% within row		70.2 %		29.8 %		100.0 %
	% within column		26.9 %		32.2 %		28.3 %
	% of total		19.9 %		8.4 %		28.3 %
Some college		Observed		57		30		87
	Expected		64.26		22.74		87.00
	% within row		65.5 %		34.5 %		100.0 %
	% within column		11.0 %		16.4 %		12.4 %
	% of total		8.1 %		4.3 %		12.4 %
College degree		Observed		24		14		38
	Expected		28.07		9.93		38.00
	% within row		63.2 %		36.8 %		100.0 %
	% within column		4.6 %		7.7 %		5.4 %
	% of total		3.4 %		2.0 %		5.4 %
Post-undergraduate degree		Observed		4		1		5
	Expected		3.69		1.31		5.00
	% within row		80.0 %		20.0 %		100.0 %
	% within column		0.8 %		0.5 %		0.7 %
	% of total		0.6 %		0.1 %		0.7 %
Total		Observed		517		183		700
	Expected		517.00		183.00		700.00
	% within row		73.9 %		26.1 %		100.0 %
	% within column		100.0 %		100.0 %		100.0 %
	% of total		73.9 %		26.1 %		100.0 %

χ² Tests
	Value	df	p
χ²		11.5		4		0.022
χ² continuity correction		11.5		4		0.022
Fisher's exact test					0.017
N		700

Nominal
	Value
Phi-coefficient		NaN
Cramer's V		0.128

Is there a relationship between the educational attainment of the respondents in terms of loan/credit default?
Which group in terms of educational attainment has high loan/credit default?

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