Case Study

1. Presented By (Group – 2(
Quantitative Methods For Business Management
WISE COLLEGE
Date: 14th
Jan 2018

2. Group (2) Member ListGroup (2) Member List
Aung KhineAung Khine
Kaung Myat TunKaung Myat Tun
Kyi LinKyi Lin
Kyaw ThuyaKyaw Thuya
Hnin Nway AungHnin Nway Aung
Hnin New HlaingHnin New Hlaing
Kay Thi KyawKay Thi Kyaw
Hsu ThakhinHsu Thakhin
Moe Hnin PhyuMoe Hnin Phyu
Nilar WinNilar Win
Soe Soe NyeinSoe Soe Nyein

3. Important statistical termsImportant statistical terms
Population:Population:
a set which includes alla set which includes all
measurements of interestmeasurements of interest
to the researcherto the researcher
(The collection of(The collection of allall responses, measurements,responses, measurements,
or countsor counts
that are of interest(that are of interest(
Sample:Sample:
A subset of the populationA subset of the population

4. Why samplingWhy sampling??
Get information about large populationsGet information about large populations
 Less costs
 Less field time
 More accuracy i.e. Can Do A Better Job ofCan Do A Better Job of
Data CollectionData Collection
 When it’s impossible to study the whole
population

5. Types of samplingTypes of sampling
 (1( Probability samples
 (2( Non-probability samples

6. Classification of Sampling Methods
Sampling
Methods
Probability
Samples
Non
Probability
Quota
Judment
Convenience Snowball
SystematicSimple
random
Srratified ClusterMultistage

7. Methods used in probabilityMethods used in probability
samplessamples
 Simple random samplingSimple random sampling
 Systematic samplingSystematic sampling
 Stratified samplingStratified sampling
 Multi-stage samplingMulti-stage sampling
 Cluster samplingCluster sampling

8. Simple random sampling

9. ““Ratio between sample size and population size”Ratio between sample size and population size”
Systematic sampling

10. Systematic sampling

11. Stratified SamplingStratified Sampling
Example:
-Sampling fish from a stream with the goal
being to estimate the average length of trout.

13. MULTISTAGE SAMPLING
-First stage , random number of districts chosen in all states.
-Followed by random number of villages.
-Then third stage units will be house.
-All ultimate units (houses) selected at step are surveyed.

14. MULTISTAGE SAMPLING
Stage 1:Countries
Stage 2:Segments
Stage 3:Households
Stage 4:Individuals

15. Cluster samplingCluster sampling
“A group of sampling units close to each
other.”
- i.e. crowding together in the same area
or neighborhood

16. Cluster samplingCluster sampling
Section 4
Section 5
Section 3
Section 2Section 1

17. Non probability samplesNon probability samples
 Quota Sampling
 Probability of being chosen is unknown.
 Judgemental sampling
 Form of convenience sampling in which the population
elements are selected based on the judgment of the
researcher.
 Snowball Sampling
Selecting participants by finding one or two participants
and then asking them to refer you to others.
 Convenience Sampling
 simply use results that are readily available.

19. Judgmental SamplingJudgmental Sampling

21. Convenience SamplingConvenience Sampling
Hey! Do you believe
in love at first sight?