1. Sampling
fundamentals
D.A. Asir John Samuel, MPT (Neuro Paed),
Lecturer, Alva’s college of Physiotherapy,
Moodbidri
Dr.Asir John Samuel (PT), Lecturer, ACP
2. Some fundaments definitions
• Population
- Collection of all the units that are of interest to
the investigator
• Sample
- Representative part of population
• Sampling
- Technique of selecting a representative group
from a population
Dr.Asir John Samuel (PT), Lecturer, ACP
3. Some fundaments definitions
• Sampling error
- The difference that occurs purely by chance
between the values of sample statistic and
that of the corresponding population
parameter
Dr.Asir John Samuel (PT), Lecturer, ACP
4. Need for sampling
• Only feasible method for collecting information
• Reduces demands on resources (time, finance,.)
• Results obtained more quickly
• Better accuracy of collected data
• Ethically acceptable
• Only way when population contains infinite
members Dr.Asir John Samuel (PT), Lecturer, ACP
6. Chi-square Test (x2)
• Variables of interest are categorical
(quantitative)
• To determine whether observed difference in
proportion b/w the study groups are
statistically significant
• To test association of 2 variables
Dr.Asir John Samuel (PT), Lecturer, ACP
7. Chi-square Test-Assumption
• Randomly drawn sample
• Data must be reported in number
• Observed frequency should not be too small
• When observed frequency is too small and
corresponding expected frequency is less than
5 (<5) – Fischer Exact test
Dr.Asir John Samuel (PT), Lecturer, ACP
8. Test statistic
x2 = ε(O-E)2/E
O – observed frequency
E – expected frequency
Dr.Asir John Samuel (PT), Lecturer, ACP