3. z
What is a Variance?
- Is a statistical measure
that tells us how
measured data vary from
the average value of the
set of data.
- It is express using the
lower-case sigma (๐)
๐2 =ฦฉ(๐-๐)2
N
Variance Formula:
Where:
๐2 =variance
X= individual
measurement
๐= Mean of all the
measurements
N= Population
size
4. z
Note: if weโre looking for the
ff.
Sample variance
For population variance
๐2 =ฦฉ(๐-๐)2
N
๐2 =ฦฉ(๐-๐)2
N-1
5. z
Lets Study:
-Measurements
of the height of a
table in terms of
meter.
Data: 1.10, 1.0,
0.97, 1.02, 1.15,
1.20, 1.10, 1.15
X ๐ฅ X-๐ฅ ( X-๐ฅ)2
1.10 1.09 0.01 0.0001
1.0 1.09 -0.09 0.0081
0.97 1.09 -0.12 0.0144
1.02 1.09 -0.07 0.0049
1.15 1.09 0.06 0.0036
1.20 1.09 0.11 0.0121
1.10 1.09 0.01 0.0001
1.15 1.09 0.06 0.0036
6. z
Lets Study:
๐2 =ฦฉ(๐-๐)2
N
Note: A variance is a single value that is the best
estimate of the true unknown parameter.
๏ถ Confidence interval
- Is a range of values and indicates the uncertainty of the
estimate.
๏ผ Finding out the variance between the errors is a vital part of the
learning to design it with better experiments and to minimize any
sort of errors.
7. z
Activity 1: Compute for the
variance.
1. The Grade 12 Stem learners
were given an activity of
measuring the length of their
building and they obtained the
following measurements after.
( 45, 45.7, 45.8, 45.9, 46, 46.6, 47,
47.5, 48 and 48.9) in ft.
Compute for the variance.
๐2 =ฦฉ(๐-๐)2
N
Variance Formula:
Where:
๐2 =variance
X= individual
measurement
๐= Mean of all the
measurements
N= Population
size
Editor's Notes
Measurement is defined as finding a number that shows the size or amount of something. However, in measuring a physical quantity, it is not safe that the measurement obtained are exact one or near to what we call as true value, thus it is important to give some sort of indication of how close the result is likely to be true value. That is why we do some estimation of errors along with the result value from a random error and systematic errors.
Errors from multiple measurements of physical quantities can be estimated using a Variance. But, before we go further on the calculations on estimating measurements. Let us first define what is a Variance.
In other words, variance measures the distribution of measurements, variability of the measurements and how each measurements relates to each others.
(1.10-1.09)2+(1.0-1.09)2 +(0.97-1.09)2+(1.02- 1.09)2+(1.15-1.09)2+(1.20- 1.09)2+(1.10-1.09)2+(1.15-1.09)/8
= 0.0059 is the variance of the recorded measurements of the table.
To get the variance of the first example, we need to compute for its variance. A larger estimate reflects less precision. Thus in this sample, it is said to be that the estimated computation are more precise since it reflects low random error.
In other words, variance measures the distribution of measurements, variability of the measurements and how each measurements relates to each others.