Mohammad Reza Iravani Esmaeilzade Sampling

3. sample
population

5. 




7. -Simple Random Sampling
-(convenience )
-Stratified
sampling)
-(Cluster sampling )
-(Systematic sampling)
-(quota )

8. Simple Random Sampling)
(Systematic sampling)
Stratified sampling)
(Cluster sampling )

9. 


10. Simple random
sampling

11. -
n=100
N=1200
-
-
-

12. 






14. (Systematic)

15. 


16. 








17. 12
100
1200
k …
Nn
k
n
N
k

18. Systematic sampling

19. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
31 34 35 36 37 38 39 40 41 42 43 44 45
16 17 18 19 20 21 22 23 24 25 26 27 28
46 47 48 49 50 51 52 53 54 55 ……..

21. -
-
-
-

22. 


23. 





25. 
•
•

•

26. cluster sampling

27. -
-
-
-

28. 
•
•

•
•
precision

29. Example of cluster sampling
Section 4
Section 5
Section 3
Section 2Section 1
Sampling techniques

30. Multiple cluster sampling

31. 

32. 





33. 

35. -(convenience
)
-(quota )

36. 



37. 



Convenience sampling

38. 




40. -
-
-
-

41. 
power



43. ( ) ( )
max mini ix x2
6
/s
2 5 1
0 667
6

44. -N
-N
-N
-N

45. 2
d
2
/z
1
2
1 96
N

46. ( / ) ( )
/n
2 2
2
1 96 40
245 9 246
5

47. N
( )
( ) ( )
N z
n
N d z
2 2
1
2
2 2 2
1
2
1
( / ) ( / )
( / ) ( / ) ( / )
n
2 2
2 2 2
240 1 96 1 2
90
239 0 03 1 96 1 2

48. N
( )z pq
n
d
2
1
2
2
pp p q1
/p 0 5
p

49. ( / ) ( / )( / )
( / )
n
2
2
1 96 0 21 0 79
256
0 05

50. N
( )
( ) ( )
N z pq
n
N d z pq
2
1
2
2 2
1
2
1
( / ) ( / )
( / ) ( / ) ( / )
n
2 2
2 2 2
150 1 96 0 5
97
149 0 06 1 96 0 5
p

51. 51
S
N
P
dd=
( )
N pq
S
N d
2
2 2
1
2

52. 

-


53. 
