The document discusses the concept of population in terms of sampling methods, describing both probability and non-probability sampling techniques. It details specific methods like simple random sampling, systematic sampling, and stratified random sampling, as well as the use of Slovin's formula for calculating sample size. The document emphasizes methods to reduce sample bias and provides basic calculations for determining intervals and sample sizes.

1. Cendz Flores

3. Population
The term population means all
members that meet a set of
specifications or a specified
criterion.
A single member of any given
population is referred to as an
element.
When only some elements
are selected from a
population

5. •
Types of Sampling Methods

6. Probability
• Simple Random
Sampling
• Systematic
Random Sampling
• Stratified Random
Sampling
• Clustering
Non
Probability
• Convenience
• Purposive
• Quota
• Snowball
Source

7. Simple Random Sampling

8. Systematic sampling: Researchers use the systematic sampling method to choose
the sample members of a population at regular intervals. It requires the selection
of a starting point for the sample and sample size that can be repeated at regular
intervals. This type of sampling method has a predefined range, and hence this
sampling technique is the least time-consuming.
Determine the interval
(Total population/ Sample Size)
N/n
N=500
n-50
interval=10

10. Stratified random
sampling
Stratified random
sampling

12. Reduce Sample Bias
Diverse Population

13. Types of non-
probability sampling

14. •

16. Example
Definition

17. Slovin's Formula
- is used to calculate the sample size (n) given the population size (N) and a margin of error
(e).
- it's a random sampling technique formula to estimate sampling size
-It is computed as n = N / (1+Ne2).
whereas:
n = no. of samples
N = total population
e = error margin / margin of error

18. Credit to the following:
https://www.questionpro.com
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https://www.voxco.com
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