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ASMA GUL
                M.PHILL
UNIVRSITY OF SARGODHA
OBJECTIVES
1- TO DEFINE SAMPLING AND TYPES OF SAMPLING




2-TO ENABLE THE STUDENTS TO EXPLAIN THE
  TYPES OF SAMPLING
POPULATION

  ALL INDIVIDUALS WITH CERTAIN

 SPECIFIED CHARACTERISTICS.



 AN AGGREGATE OR UNIVERSE FROM WHICH
 1
 A SAMPLE IS DRAWN CALLED POPOULATION
SAMPLE

SAMPLE IS THE PART OF THE POPULATION,

REPRESENTING THE CHARACTERISTICS OF THE

WHOLE POPULATION.
SAMPLING

THE PROCESS OF SELECTING A SAMPLE FROM

THE POPULATION IS CALLED SAMPLING.IT CAN BE

DIVIDED INTO TWO PARTS PROBABILITY SAMPLING

AND NON PROBABILITY SAMPLING.
WHY SAMPLING

1-IMPOSSIBLE TO OBSERVE ALL EVENTS



 2-TIME



 3-COST
PROBABILITY SAMPLING

THIS IS ONE IN WHICH EACH PERSON IN THE

POPULATION HAS THE SAME PROBABILITY OF

BEING SELECTED.
TYPES OF PROBABILITY SAMPLING

1- RANDOM SAMPLING

2-STRATIFIED SAMPLING

3-SYSTEMATIC SAMPLING


 4- DOUBLE SAMPLING
NON PROBABILITY SAMPLING


SAMPLING IN WHICH SOME ELEMENTS OF

POPULATION HAVE NO CHANCE OF

SELECTION.
TYPES OF NON PROBABILITY SAMPLING



1-CONVENIENCE SAMPLING


2-PURPOSIVE SAMPLING



 3-QUOUTA SAMPLING



 4-SNOW BALL SAMPLING
RANDOM SAMPLING

 SELECTING SUBJECTS SO THAT ALL

  MEMBERS OF A POPULATION HAVE AN

  EQUAL AND INDEPENDENT CHANCE OF

 BEING SELECTED.
STRATIFIED SAMPLING
Stratified sampling is a process in which certain
 subgroups or strata, are selected for the sample in
 the same proportion as they exist in the
population…
SYSTEMATIC SAMPLING


SELECTING EVERY NTH SUBJECT FROM A

LIST OF THE POPULATION..
SELECTION PROCESS
1-IDENTIFY AND DEFINE THE POPULATION.


2-DETERMINE THE DESIRED SAMPLE SIZE.


3-OBTAIN A LIST OF THE POPULATION AND
ASSAIGN ASCENDING ORDER NUMBERS TO
 EACH MEMBER.

4-START AT SOME RANDOM PLACE IN THE
 POPULATION LIST.
DOUBLE SAMPLING
 IF THERE IS NOT A CLEAR

 ACCEPT / REJECT DECISION

 FROM INSPECTION OF THE FIRST

 SAMPLE ,A SECOND SAMPLE IS

 TAKEN AND THE DECISION IS

 MADE BASED ON THE RESULTS
 OF THE COMBINED SAMPLES
CLUSTER SAMPLING

THE SELEDCTION OF GROUPS OF INDIVIDUALS

CALLED CLUSTERS,RATHER THAN

SINGLE INDIVIDUAL. ALL INDIVIDUALS IN A CLUSTER

ARE INCLUDED IN THE SAMPLE.,THE CLUSTERS ARE

 PREFERABLY SELECTED RANDOMLY FROM LARGEER

POPULATION OF CLUSTER.
CONVENIENCE SAMPLING

EASILY ACCESSIBLE SAMPLING.IN OTHER

WORDS THE SELECTION OF SAMPLE IS BASED

ON THE AVAILABILITY OF SUBJECTS,

,VOLUNTEERS,PRE EXISTING GROUPS
PURPOSIVE SAMPLING
PURPOSIVE SAMPLING IS USED WHEN SELECTION

OF SAMPLE IS BASED ON THE

RESEARCHER’S EXPERIENCE AND KNOWLEDGE OF

 THE INDIVIDUALS BEING SAMPLED.
QUOTA SAMPLING
QUOTA SAMPLING IS USED WHEN

SELECTION OF SAMPLE BASED ON THE EXACT

CHARACTERISTICS AND QUOTAS OF SUBJECTS

AND IT IS IMPOSSIBLE TO LIST ALL MEMBERS

OF POPULATION..
SNOWBALL SAMPLING


SNOWBALL SAMPLING YOU BEGIN BY

SOMEONE WHO MEETS THE CRITERIA
FOR INCLUSION IN YOUR STUDY.

IN THIS SAMPLING POPULATION

IS NOT IDENTIFIED
THANKS

GOD BLESS U
RANDOM TABLE

22592 44213 32464 67712 35409 79203 47822
68521 79866 72389 94820 27528 55963 70658
73457 91616 37141 27123 83734 87343 49959
62112 99093 14710 94416 55299 46090 47159
43954 53567 24728 37805 51690 83475 35005
33532 64508 45022 50363 34341 82407 38209
97361 93347 58504 36477 75998 57435 39682
66385 86275 53163 52499 27932 28191 80530
96956 21119 75189 12978 73053 19387 53827
77066 54231 49295 37545 72794 67049 10842
79462 00161 11506 04029 26460 59167 61044
02297 05097 23255 68780 32205 88816 18983
81598 93752 30732 46350 26055 86939 77730
78798 75594 85207 56367 42886 56772 15115
66644 38614

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Sampling

  • 1. ASMA GUL M.PHILL UNIVRSITY OF SARGODHA
  • 2. OBJECTIVES 1- TO DEFINE SAMPLING AND TYPES OF SAMPLING 2-TO ENABLE THE STUDENTS TO EXPLAIN THE TYPES OF SAMPLING
  • 3. POPULATION  ALL INDIVIDUALS WITH CERTAIN SPECIFIED CHARACTERISTICS.  AN AGGREGATE OR UNIVERSE FROM WHICH 1 A SAMPLE IS DRAWN CALLED POPOULATION
  • 4. SAMPLE SAMPLE IS THE PART OF THE POPULATION, REPRESENTING THE CHARACTERISTICS OF THE WHOLE POPULATION.
  • 5. SAMPLING THE PROCESS OF SELECTING A SAMPLE FROM THE POPULATION IS CALLED SAMPLING.IT CAN BE DIVIDED INTO TWO PARTS PROBABILITY SAMPLING AND NON PROBABILITY SAMPLING.
  • 6. WHY SAMPLING 1-IMPOSSIBLE TO OBSERVE ALL EVENTS 2-TIME 3-COST
  • 7. PROBABILITY SAMPLING THIS IS ONE IN WHICH EACH PERSON IN THE POPULATION HAS THE SAME PROBABILITY OF BEING SELECTED.
  • 8. TYPES OF PROBABILITY SAMPLING 1- RANDOM SAMPLING 2-STRATIFIED SAMPLING 3-SYSTEMATIC SAMPLING 4- DOUBLE SAMPLING
  • 9. NON PROBABILITY SAMPLING SAMPLING IN WHICH SOME ELEMENTS OF POPULATION HAVE NO CHANCE OF SELECTION.
  • 10. TYPES OF NON PROBABILITY SAMPLING 1-CONVENIENCE SAMPLING 2-PURPOSIVE SAMPLING 3-QUOUTA SAMPLING 4-SNOW BALL SAMPLING
  • 11. RANDOM SAMPLING SELECTING SUBJECTS SO THAT ALL MEMBERS OF A POPULATION HAVE AN EQUAL AND INDEPENDENT CHANCE OF BEING SELECTED.
  • 12. STRATIFIED SAMPLING Stratified sampling is a process in which certain subgroups or strata, are selected for the sample in the same proportion as they exist in the population…
  • 13. SYSTEMATIC SAMPLING SELECTING EVERY NTH SUBJECT FROM A LIST OF THE POPULATION..
  • 14. SELECTION PROCESS 1-IDENTIFY AND DEFINE THE POPULATION. 2-DETERMINE THE DESIRED SAMPLE SIZE. 3-OBTAIN A LIST OF THE POPULATION AND ASSAIGN ASCENDING ORDER NUMBERS TO EACH MEMBER. 4-START AT SOME RANDOM PLACE IN THE POPULATION LIST.
  • 15. DOUBLE SAMPLING IF THERE IS NOT A CLEAR ACCEPT / REJECT DECISION FROM INSPECTION OF THE FIRST SAMPLE ,A SECOND SAMPLE IS TAKEN AND THE DECISION IS MADE BASED ON THE RESULTS OF THE COMBINED SAMPLES
  • 16. CLUSTER SAMPLING THE SELEDCTION OF GROUPS OF INDIVIDUALS CALLED CLUSTERS,RATHER THAN SINGLE INDIVIDUAL. ALL INDIVIDUALS IN A CLUSTER ARE INCLUDED IN THE SAMPLE.,THE CLUSTERS ARE PREFERABLY SELECTED RANDOMLY FROM LARGEER POPULATION OF CLUSTER.
  • 17. CONVENIENCE SAMPLING EASILY ACCESSIBLE SAMPLING.IN OTHER WORDS THE SELECTION OF SAMPLE IS BASED ON THE AVAILABILITY OF SUBJECTS, ,VOLUNTEERS,PRE EXISTING GROUPS
  • 18. PURPOSIVE SAMPLING PURPOSIVE SAMPLING IS USED WHEN SELECTION OF SAMPLE IS BASED ON THE RESEARCHER’S EXPERIENCE AND KNOWLEDGE OF THE INDIVIDUALS BEING SAMPLED.
  • 19. QUOTA SAMPLING QUOTA SAMPLING IS USED WHEN SELECTION OF SAMPLE BASED ON THE EXACT CHARACTERISTICS AND QUOTAS OF SUBJECTS AND IT IS IMPOSSIBLE TO LIST ALL MEMBERS OF POPULATION..
  • 20. SNOWBALL SAMPLING SNOWBALL SAMPLING YOU BEGIN BY SOMEONE WHO MEETS THE CRITERIA FOR INCLUSION IN YOUR STUDY. IN THIS SAMPLING POPULATION IS NOT IDENTIFIED
  • 22. RANDOM TABLE 22592 44213 32464 67712 35409 79203 47822 68521 79866 72389 94820 27528 55963 70658 73457 91616 37141 27123 83734 87343 49959 62112 99093 14710 94416 55299 46090 47159 43954 53567 24728 37805 51690 83475 35005 33532 64508 45022 50363 34341 82407 38209 97361 93347 58504 36477 75998 57435 39682 66385 86275 53163 52499 27932 28191 80530 96956 21119 75189 12978 73053 19387 53827 77066 54231 49295 37545 72794 67049 10842 79462 00161 11506 04029 26460 59167 61044 02297 05097 23255 68780 32205 88816 18983 81598 93752 30732 46350 26055 86939 77730 78798 75594 85207 56367 42886 56772 15115 66644 38614