Topic: Coefficient of Variance Student Name: Shakeela Class: B.Ed. 2.5 Project Name: “Young Teachers' Professional Development (TPD)" "Project Founder: Prof. Dr. Amjad Ali Arain Faculty of Education, University of Sindh, Pakistan

1. FACULTY OF EDUCATION
OLD CAMPUS HYD.
UNIVERSITY OF SINDH

2. PRESENTED BY: SHAKEELA M. ANWER
(2k17/BEDSM/54)
ASSIGNED BY: DR AMJAD ALI ARAIN
TOPIC: COEFFICIENT OF
VARIANCE

3. DEFINITION
 It is the ratio of the Standard Deviation to the mean
 It is also known as Relative Standard Deviation
 It is often expressed as percentage

4. FORMULAS

5. EXAMPLE 1

6. EXAMPLE 2

7. APPLICATIONS
 it can help demonstrate when distributions are considered low-variance and
when they are considered high-variance.
 In investment and finance, the COV can be used to evaluate risk of BONDS and
STOCKS
 This is useful when comparing measurements across multiple heterogenous
data sets

8. LIMITATIONS
 It can not be used on any data less than ration level.
 It is sensitive to arithmetic mean that are close to zero and should not be
used if this is the case.
 It is sensitive to small changes to the mean and thus to small sample sizes.
 Comparing COV between parameters using relative units can result in
differences that may not be real.

9. THANK YOU!