As a procrastination activity, you have been observing students scaling
the climbing wall and have been tracking the success of these students at
reaching the top of the wall as a function of their sex. Of 20 women you
observed 16 reached the top successfully and of 30 men you observed, 14
reached the top successfully. Based on these data, is there a significant
( < : 05) relationship between sex and climbing success? Of what
magnitude is the relationship?
(HINT: Its Chi-sq problem)
Table of observed frequencies (Oij) is given as follows:
Male | Female | Total | |
Top | 14 | 16 | 30 |
Bottom | 16 | 4 | 20 |
Total | 30 | 20 | 50 |
Table of expected frequencies (Eij) is given as follows:
Eij=Sum of ith column* Sum of jth column/N
Male | Female | Total | |
Top | 18 | 12 | 30 |
Bottom | 12 | 8 | 20 |
Total | 30 | 20 | 50 |
We have to test here
H0: There is no relationship between Sex and climbing success.
Vs
H1:There is relationship between Sex and climbing success.
Test statistic for testing above hypothesis is,
T=(Oij-Eij)2/Eij=(14-18)2/18 +(16-12)2/12 +(16-12)2/12 +(4-8)2/8 =5.555556
Critical value=0.05,1=3.841459
Since, T>0.05,1=3.841459, we reject H0 at 5% level of significance and conclude that there is relationship between Sex and
climbing success.
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