This study is applied on 280entrepreneurs. I wantfind out the effect of two level ofSocio cultural status(high & low), locale(rural & urban) and age(below 30 & above 30) on entrepreneurship....

This study is applied on 280 women entrepreneurs these are my scores on the basis of socio-cultural test applied on the
participants. I want to find out the effect of two level of Socio-cultural status (A) (A1high & A2low), locale(B) (B1rural & B2u
an)
on women entrepreneurship. I want find out the effect of two level of Socio-cultural status (A) (A1high & A2low), locale(B) (B1rural
& B2u
an) on women entrepreneurship by 2-Way Analysis of variance(ANOVA), 2X2 factor analysis is to be done, the main and
interactional effects of the variable has to be studied on women entrepreneurs. . Also I need the step by step calculation,and the
conclusion report of the question.
This is an experiment on 280 women entrepreneurs to study the effect of socio-cultural status and locale on women
entrepreneurs. The factor socio-cultural status has two levels as high and low. The factor locale also has two levels
as rural and u
an. The outcome is the quantitative (continuous) variable score of test.
A reasonable (initial) statistical model for these data is that for any combination of socio-cultural status and locale the
score outcome is normally distributed with equal variance. We also can assume that the e
ors are independent.
Therefore, a two way ANOVA with unequal numbers of observations per cell is suitable for the analysis to compare
the treatments.
Let the model is defined by
yijk =  + i + j + ij + eijk i=1,.....,a; j=1,......b, k=1,…….,nij
where yijk is the kth observation in the ith level of socio-cultural status and jth level of locale,  is the
general effect, i is the effect of ith level of socio-cultural status, j is the effect of jth level of locale, ij is the
interaction effect of socio-cultural status and locale and eij is the random e
or.
We are to test
H01: i’s are equal
H11: at least one i’s are unequal

H02: j’s are equal
H12: at least one j’s are unequal

H03: ij = 0
H13: ij ≠ 0

Assumptions made for the analysis are:
1. The populations from which the samples were obtained must be normally or approximately normally
distributed.
2. The samples must be independent.
3. The variances of the populations must be equal.
  2...
1 1 1
2
2
1 1 1
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ected YNYYYSS
a
i
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Total
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1 1
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Total
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.
2
1 1 1
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1 11 1 1
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1 1
.
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