What is Yamane formula?
Strictly speaking, Yamane formula is an approximation of known sample size formulas such as Krejcie and Morgan [6] and Cochran [7] formulas for proportion at 95% confidence level and population proportion of 0.5. The paper contributes to the existing literature by removing the restriction of the use of Yamane formula.
What is the Cochran formula?
The Cochran formula allows you to calculate an ideal sample size given a desired level of precision, desired confidence level, and the estimated proportion of the attribute present in the population. p is the (estimated) proportion of the population which has the attribute in question, q is 1 – p.
What is the use of Slovin’s formula in research?
Slovin’s formula is used to calculate the sample size necessary to achieve a certain confidence interval when sampling a population. This formula is used when you don’t have enough information about a population’s behavior (or the distribution of a behavior) to otherwise know the appropriate sample size.
Is Slovin’s formula A sampling techniques?
Slovin’s formula calculates the number of samples required when the population is too large to directly sample every member. Slovin’s formula works for simple random sampling.
What is Krejcie and Morgan?
Sampling methods are used to select a sample from within a general population. To simplify the process of determining the sample size for a finite population, Krejcie & Morgan (1970), came up with a table using sample size formula for finite population. …
How do you find the sample size Proportionation?
For example, if the researcher wanted a sample of 50,000 graduates using age range, the proportionate stratified random sample will be obtained using this formula: (sample size/population size) x stratum size.
Which is better slovin or Cochran?
Cochran formula is use for large population that are heterogeneous in nature, but slovin’s formula is better for population which little or nothing is known.
How is slovin calculated?
– is used to calculate the sample size (n) given the population size (N) and a margin of error (e). -It is computed as n = N / (1+Ne2).
Is Slovin’s Formula reliable?
Abstract: In a number of research studies involving surveys, the so-called Slovin’s formula is used to determine the sample size. Unfortunately, many of these studies use the formula inappropriately, giving the wrong impression that it can be used in just about any sampling problem.
What is non probability sampling technique?
Definition: Non-probability sampling is defined as a sampling technique in which the researcher selects samples based on the subjective judgment of the researcher rather than random selection. It is a less stringent method. Each member of the population has a known chance of being selected.
How do you calculate the sample size in Slovin’s formula?
Slovin’s Formula provides the sample size (n) using the known population size (N) and the acceptable error value (e). Fill the N and e values into the formula n = N ÷(1 + Ne2). The resulting value of n equals the sample size to be used. When to Use Slovin’s Formula
What is Slovin’s formula used for?
Slovin’s Formula calculates the number of samples required when the population is too large to directly sample every member. Slovin’s formula works for simple random sampling. If the population to be sampled has obvious subgroups, Slovin’s formula could be applied to each individual group instead of the whole group.
What is the formula for calculating sample size in statistics?
– is used to calculate the sample size (n) given the population size (N) and a margin of error (e). -It is computed as n = N / (1+Ne2). When to use slovin’s formula? – If a sample is taken from a population, a formula must be used to take into account confidence levels and margins of error.
How do you calculate the margin of error in Slovin’s formula?
You decide that you are happy with a margin of error of 0.05. Using Slovin’s formula, you would be required to survey n = N / (1 + Ne^2) people: 1,000 / (1 + 1000 * 0.05 * 0.05) = 286