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Common sampling techniques

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krizza joy dela cruz
krizza joy dela cruz

this is a presentation guide for teachers which shows the different sampling techniques to select appropriate number of samples.

Formation
1  sur  39
Nueva Ecija University of Science and Technology Sumacab Campus, Cabanatuan City COLLEGE OF EDUCATION ,[object Object],Prepared By: Krizza Joy M. Dela Cruz
Common sampling techniques
Sampling ,[object Object],[object Object]
 
Example ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
SLOVIN’S FORMULA ,[object Object],where n is the sample size N is the population size e is the margin of error
[object Object],[object Object]
[object Object]
Determining sample size ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
Advantages of Sampling ,[object Object],[object Object],[object Object],[object Object]
Sampling Techniques Types of Sampling Techniques Non-probability Sampling Probability Sampling Convenience Quota Systematic Simple Cluster Stratified Purposive
Probability Sampling ,[object Object]
Advantages of Probability Sampling ,[object Object],[object Object]
Non-probability Sampling ,[object Object]
SIMPLE RANDOM SAMPLING ,[object Object],[object Object],[object Object],sampling frame random subsample
Lottery Sampling ,[object Object],[object Object],[object Object],[object Object],[object Object]
Generating Random Numbers ,[object Object]
Direct Selection Method ,[object Object]
Through Calculator ,[object Object],[object Object],2nd · RAN# SHIFT
Though Computer ,[object Object],[object Object]
SYSTEMATIC RANDOM SAMPLING ,[object Object],[object Object],[object Object]
Procedures: ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
STRATIFIED RANDOM SAMPLING ,[object Object],[object Object],Sampling Frame strata Random Subsamples
Procedures for SRS ,[object Object],[object Object]
Example: ,[object Object],N=5,000 1,500 Low-income (class C) 2,500 Middle-income (class B) 1,000 High-income (class A) # of families Strata
[object Object],[object Object],[object Object]
N=5,000 1,500 Class C 2,500 Class B 1,000 Class A Equal Allocation Proportional Allocation Number of Families Strata
CLUSTER RANDOM SAMPLING ,[object Object]
Procedures ,[object Object],[object Object],[object Object]
Example: ,[object Object]
CONVENIENCE SAMPLING ,[object Object]
QUOTA SAMPLING ,[object Object],[object Object]
Types of Quota Sampling ,[object Object],[object Object]
PURPOSIVE SAMPLING ,[object Object]

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Common sampling techniques

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  • 15. Sampling Techniques Types of Sampling Techniques Non-probability Sampling Probability Sampling Convenience Quota Systematic Simple Cluster Stratified Purposive
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  • 32. N=5,000 1,500 Class C 2,500 Class B 1,000 Class A Equal Allocation Proportional Allocation Number of Families Strata
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