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Population - Coggle Diagram
Population
Characteristics
Homogeneous population
Heterogeneous population
Theoretical population
Accessible population
Sample
Sampling Techniques
Formula to Determining the Number of Sample
Slovin's Formula
N = n / N(d)2 + 1
Jacob Cohen's Formula
N=I./ F^2 + u + 1
Isaac and Michael Table
The table for determining the number of samples from Isaac and Michael provides conv determining the number of samples based on the error rates of 1%, 5% and 10%. With researchers can directly determine the sample size based on the number of population desired error rate.
Cohran's Formula
N = (t^2)(s^2)/(d^2)
Lemeshow Formula
to Unknown population
n = Z^2 P(1-P)/d^2
Methods (Sugiyono, 2018)
Probability sampling
Simple random sampling
Proportionate stratified random sampling
Disproportionate stratified random sampling
Cluster sampling
Two-stage sampling
Unit primer
Unit sekunder
Nonprobability sampling
Systematic sampling
Quota sampling
Accidental sampling
Purposive sampling
Saturated sampling
Snowball sampling
Another method
of sampling
Structural sampling
Sampling stratification
Definition
Part of the number and characteristics
possessed by the population.
Aspects
Good sample requirements
Sampling Frame
Sampling Consideration
Degree pf Homogeneity
The desired precision of the research
Analysis plan
Energy, cost, and time
Types
Finite population
Infinite population
Definition
The entire subject or object
that is the target of research.