17.01.2013 Views

Research Methodology - Dr. Krishan K. Pandey

Research Methodology - Dr. Krishan K. Pandey

Research Methodology - Dr. Krishan K. Pandey

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Chi-square Test 247<br />

c h<br />

χ 2<br />

N ⋅ ad − bc −05<br />

. N<br />

(corrected) =<br />

ba + bgbc + dgba + cgbb + dg<br />

In case we use the usual formula for calculating the value of chi-square viz.,<br />

χ 2<br />

2<br />

dOij −Eiji<br />

=∑<br />

,<br />

E<br />

then Yates’ correction can be applied as under:<br />

(corrected) =<br />

χ 2 1 1<br />

1<br />

2<br />

ij<br />

O − E −05<br />

. O2 − E2<br />

−05<br />

.<br />

+<br />

E<br />

E<br />

2<br />

2<br />

2<br />

+ ...<br />

It may again be emphasised that Yates’ correction is made only in case of (2 × 2) table and that<br />

too when cell frequencies are small.<br />

Illustration 9<br />

The following information is obtained concerning an investigation of 50 ordinary shops of small size:<br />

Shops Total<br />

In towns In villages<br />

Run by men 17 18 35<br />

Run by women 3 12 15<br />

Total 20 30 50<br />

Can it be inferred that shops run by women are relatively more in villages than in towns? Use<br />

χ 2 test.<br />

Solution: Take the hypothesis that there is no difference so far as shops run by men and women in<br />

towns and villages. With this hypothesis the expectation of shops run by men in towns would be:<br />

( A) × ( B)<br />

Expectation of ( AB)<br />

=<br />

N<br />

where A = shops run by men<br />

B = shops in towns<br />

(A) = 35; (B) = 20 and N = 50<br />

35 × 20<br />

Thus, expectation of ( AB)<br />

= = 14<br />

50<br />

Hence, table of expected frequencies would be

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!