Statistics sampling

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    14-Jun-2015

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<ul><li> 1. Wittaya Tanaree Public Health Science and Technology Faculty Rajabhat Chaingmai University</li></ul> <p> 2. (Population) 3. 2 1. (finite population) 2. (Infinite Population) 4. (element) 5. (sample) 6. - - - - - - - 7. 8. - - - - - - 9. (Sample ? 1. (Homogeneity) 2. (Size of Populatio 3. (Cost) 4. (Precision) 10. 1.1 15 30 % 1.2 10 15 % 1.3 5 10 % 11. Krejcie &amp; Morgan ( ) 12. n = P (1 - P) Z-2 W.G. cochran (1953) d2 n p Z Z 0.05 1.96 ( 95%) Z 0.01 2.58 ( 99% ) d 13. (Taro Yamane ,1973)n =N 1 + Ne 2n N e 14. (Statistic) (Parameter) 15. 2 - (Non probability sampling) - (Probability Sampling) 16. (Non probability sampling) (Accidental Sampling (Quota Sam (Purposive Sampling 17. (Accidental Sampling) 18. (Quota Sampling) (Purposive Sampling) 19. (Probability Sampling) (Simple Random Sam 1 2 (Systematic Samph (Stratified Samp (Cluster or Area Sam 20. (Simple Random Sampling) - - 21. - 22. (Systematic Sampling) (Sampling interval)Sampling interval (i) = N / n 23. (Stratified Sampling 24. 25. Cluster Sampling) 26. 27. - 28. Multistage Sampling 1 (Cluster) 29. (Network Sampling Snowballing) 30. Thank you for your Attention</p>