Introduction
Choosing the right sample size is important for reliable research results.
A sample that is too small may not represent the population well.
Factors Affecting Sample Size
- Population size
- Research objectives
- Available time
- Budget
- Desired accuracy
Common Sampling Errors
Selection Bias
Some groups are unfairly excluded.
Nonresponse Error
Selected participants do not respond.
Sampling Bias
The sample does not represent the population accurately.
Example
If a survey about internet usage only includes urban residents, rural populations may be excluded.
This creates bias.
Tips to Reduce Errors
- Use appropriate sampling methods
- Increase response rates
- Ensure diversity in the sample
Quick Check
What happens if a sample is not representative?