“

2
Sampling – Concept and Methods
Probability Sampling Methods - Types
Non-probability Sampling Methods - Types
Central Limit Theorem
Sampling Distribution
Statistical Estimation – Meaning & Types
Standard Error

3

subgroup or subset

process of selecting a
sufficient number of
elements

4

inferences from your sample
5

6
Simple Random Sampling
Systematic Sampling
Cluster Sampling
Stratified Random Sampling

7

8

9

10

11

12
Convenience Sampling
Judgemental Sampling
Quota Sampling
Theoretical Sampling
Snowball Sampling

13

In this case the researcher first identifies relevant
categories of people (Ex; Male & Female, or
Under age of 30, age 30 to 60, over 60 etc.)
then decide how many to get in each category.
The researcher decides to select 5 males and 5
females under age 30, 10 males and 10 females
aged 30 to 60 and 5 males and 5 females over
the age of 60 for a 40 person sample.
14

15

16

17

Sampling Distribution
18

19

Sampling distribution
of mean
Sampling distribution
of proportion
T-distribution
20

21

22

guessing
23

Point Estimation Interval Estimation
24

25

Standard Error
26

27

28