00:01
So to answer this question, we have to calculate the difference between the post -test and the pre -test scores for each individual.
00:10
So we will be making a chart.
00:21
So here we have pre -test, post -test, and difference.
00:34
So it would be 52 .8, 48 .7, minus 4 .1, 27 .8, 42 .8, 42, 45, 28 .6, 50 .4, 41 .4, 56, 36 .1, 53 .4, 37 .7, 48 .6, 51 .7, 43 .7, 36 .8, 37 .9, 41 .4, 57 .4, 45 .2, 30 .3, 50 .4, 39 .2.
02:02
Now we add the post -test.
02:04
51 .2, 48 .8, 7 .5, 33 .7, 10 .1, 3 .5, 1 .6, 9 .1, minus 5 .1, 121 .7, 89 .5, 22 .9, minus 16 .9, 27 .7, 57 .9, 9 .9, 36 .3, minus 7, 106 .2, 94, 5 .8, 56 .4, 77 .8.
03:14
Now we calculate the difference.
04:01
51 .8, minus 25 .7, minus 68 .4, 14 .2, minus 26 .9, minus 1 .6, minus 48 .4, 48 .8, minus 24 .5, 6 .0, 38 .6.
04:46
So now step 2 is we calculate the mean and standard deviation.
04:56
So the mean is 8 .75 and standard deviation is 35 .5246.
05:06
Step 3 is calculating standard error, which is standard deviation divided by n.
05:15
That would be 35 .5246 divided by 22, giving 7 .5734...