00:01
Hello students, let us do this question.
00:04
We have given travel time for 15 workers.
00:07
The mean for this 15 travel time is given as mean is equal to 22 .5.
00:14
Now if the longest single travel time which is 62 is removed from this data, then the mean for the remaining 14 data points is this mean will be sum of data values upon the total number of data values.
00:30
This mean is 19 .71 minute.
00:35
So that one observation raises the mean by how many minutes? we know that the mean for the 15 data values is 22 .5.
01:02
When we remove 62, which is the largest observation, the new mean is 19 .71.
01:08
So this data point increases the mean by 22 .5 minus 9 .9.
01:13
19 .71 which is 2 .79 minutes.
01:26
So this one observation increases the mean by 2 .79 minutes.
01:31
Now we have to find if the 1 .5 into iqr rule identify that this data value is outlier or not.
01:40
So the 1 .5 into iqr rule is that if any data value lies above upper limit of the outlier, the upper limit is defined as q3 plus 1 .5 into iqr...