Hi,
Yes, the difference is by gender. I've given it a ago, but am a little
unsure about the conclusion.
| Male | Female
------------------------
Yes | o: 94 o: 17
| e: 88.5 e: 22.5
|
No | o: 36 o: 16
| e: 41.5 e: 10.5
Overall: 163
The expected was calculated for each of the cells using
(the sum of the row * the sum of the column) / the total
Using ((o-e)^2)/e I got a chi s of 5.29.
I think the df for the table is 1 (is it (rows-1)*(columns -1))
Therefore using a table, p 0.05 is 3.84 and p 0.01 is 6.63
so it is significant to p 0.05 but not quite all the way to 0.01
What does that mean?
There is a significant difference between the yes and no proportions
that males and females gave?
Such that males were statstically more inclined to say yes (ratio of
male yes:no is 5.5:1 whereas the females is 2.25:1)
Am I on the right tracks?
Thanks for any help, it is very much apprecieted! Its quite important
I get this right.
Thanks again, Katie x
.
.
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