According to research made at multiple websites; Mugenda and Mugenda, which is a company that focuses on research methods for various areas, define sample size by using statistics data and probability.
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
Sampling and Non sampling errors
Random Sampling
simple random, stratified sampling, cluster sampling
According to research made at multiple websites; Mugenda and Mugenda, which is a company that focuses on research methods for various areas, define sample size by using statistics data and probability.
The formula for sample size determination by Mugenda and Mugenda (2003) is typically based on the following formula for estimating sample size in a population: n = (Z^2 * p * q) / E^2 where: n = required sample size Z = Z-score corresponding to the desired confidence level p = estimated proportion of the population with the attribute of interest q = 1 - p E = desired margin of error
it's a random sampling technique formula to estimate sampling sizen=N/1+N(e)2n- sampling sizeN-total populatione-level of confidence
it's a random sampling technique formula to estimate sampling size n=N/1+N(e)2 n- sampling size N-total population e-level of confidence
sampling theorem is defined as , the sampling frequency should be greater than or equal to 2*maximum frequency, and the frequency should be bounded.. i,e fs=2*fmax where fs= sampling frequency
https://onlinecourses.science.psu.edu/stat506/node/44
The formula for simple random sampling is: n = N * (X / M) Where: n = number of samples N = population size X = sample size chosen M = total number of units in the population
state and prove sampling theory as applied to low pass signal
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
Answer is Quota sampling. Its one of the method of non-probability sampling.
Sampling techniques in researching involves to types of sampling. The probability sampling and the non-probability sampling. Simple random is an example of probability sampling.
You are correct; convenience sampling is not random sampling.