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How do you solve the slovin formula?

The Slovin’s Formula is given as follows: n = N/(1+Ne2), where n is the sample size, N is the population size and e is the margin of error to be decided by the researcher.

Why do we use Slovin’s formula?

Slovin’s formula allows a researcher to sample the population with a desired degree of accuracy. Slovin’s formula gives the researcher an idea of how large the sample size needs to be to ensure a reasonable accuracy of results.

Is Slovin’s Formula reliable?

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 confidence level in Slovin’s formula?

If you’re a researcher you might want to figure out your own error tolerance; Just subtract your confidence level from 1. For example, if you wanted to be 98 percent confident that your data was going to be reflective of the entire population then: 1 – 0.98 = 0.02. e = 0.02.

What is Lynch formula?

Lynch et al 1972, and cited by Ardoles, 1992, suggested the formula below to determine the sample size: n= NZ² x p (1-p) _ Where: n= Sample Size Nd² + Z² p (1-p) N= Population Z= the value of the normal variables (1.96) for a reliability level of 0.95 p= the largest possible proportion (0.50)

What is Calmorin formula?

SLOVIN’S FORMULA CALMORIN’S FORMULA Ss = sample size. n = a sample size N = population size. N = population size V = standard value (2.58) of 1% level of probability.

Who invented Slovin’s formula?

Robert Slovin

What are formulas in statistics?

Statistical formula can be defined as the group of statistical symbols used to make a statistical statement. The term called the variance of some random variable X is represented by the statistical formula as Var(X) =σ2 = Σ [Xi – μx]2 * P(xi). The symbol ‘σ2’ represents the variance of that random variable.

What is Q population proportion?

The sample proportions p′ and q′ are calculated from the data: p′ is the estimated proportion of successes, and q′ is the estimated proportion of failures. The confidence interval can be used only if the number of successes np′ and the number of failures nq′ are both greater than five.

What is Q hat in statistics?

proportion of a sample with a given characteristic. q hat, the hat symbol above the q means “estimate of”

What does P and Q stand for in statistics?

p refers to the proportion of sample elements that have a particular attribute. q refers to the proportion of sample elements that do not have a particular attribute, so q = 1 – p. n is the number of elements in a sample.

How do we calculate the P value?

The p-value is calculated using the sampling distribution of the test statistic under the null hypothesis, the sample data, and the type of test being done (lower-tailed test, upper-tailed test, or two-sided test). The p-value for: a lower-tailed test is specified by: p-value = P(TS ts | H 0 is true) = cdf(ts)