00:02
Dear students, as for the question, true percentage is 22 .52 and the values calculated by the two students, one is student a and student, the other one is student b, are these are the three values calculated by student a and these are the three values calculated by student b.
00:24
And we have to find out which data set is precise.
00:30
Which data set is precise.
00:32
We know precise means what? closeness of precise data means closeness of two or two or more measurements to each other.
01:00
Now if we see the values here, these values that is the data given by student a are very far up from one another.
01:07
Whereas the data given by student b may not be close to true value, but they are close to each other, 22 .64, 22 .5 by 22 .62 .62 .62 .62 .62.
01:19
So these are the more precise data collected by student b.
01:24
These are the more precise data because they are very close to each other as for the definition of precise.
01:31
It has nothing to do with a accuracy.
01:34
Here student has a has one very accurate value but precise value has nothing to do with accuracy these three values collected by student b reported by student b may not be accurate but they are very close to one another therefore they are precise values so student b is the very precise student now coming to the standard deviation part the second part we have to calculate the standard deviation so, standard deviation, we know the formula for calculating standard deviation is sigma equal to root over of summation xi minus mu by n, x i minus mu whole square by n, where this sigma stands for standard deviation x i the values and mu is the mean value that is the accurate value given by in the question that is 22 .52 divided by n population size...