Sampling Basics II Research Aptitude By Talvir Singh

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• SAMPLE- represents the entire population. • SAMPLING - Process of selecting a sample. • SAMPLE' S feature/ mean - statistics. • POPULATION 'S Feature/ mean - Parameter. • LARGE SAMPLE - more than 30. • Small sample - less than 30. • Sample size & error-- 1. large sample size ~ less error chances. 2. Small sample size ~ more error chances . • Types of sampling -- 1. PROBABILITY SAMPLING -aka-( Random sampling) a) simple random sampling - random selection of sample. Each unit have equal probability of selecting as a sample. b). Systematic sampling - First unit randomly selected, and then after a sequencial pattern follow. Example - first unit randomly selected 3, then after 3 next no. Would be 6,9,12,18.etc c). Stratified sampling - Homogenous within the group. Heterogeneous between the group. d) Cluster sampling - Naturally formed group- selected as a sample. •Heterogeneous within the group . • Homogeneous - between the group. 2) NON PROBABILITY SAMPLING - aka (Non -random sampling). Types- 1. Convenience sampling ( Key- Accessibility) 2. Snow ball sampling - aka chain/ network sampling. 3. Purposive sampling- aka judgemental sampling Key - Based on purpose 4. Quota sampling Key - on the basis quota pre - determined. • PROBABILITY SAMPLING - used for Quantitative research. • NON PROBABILITY SAMPLING - used for Qualitative research. Thankyou sir❤

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