What is the sample size of 4500 population?

Determining Sample Size

How do you find the sample size from an unknown population?

For sample size calculation of unknown population size, you can use the following formula: n= z2. [p*q]/d2), which is used to calculate the sample size of a qualitative variable in prevalence or cross-sectional studies.

How do you calculate sample size for online surveys?

Necessary Sample Size = (z-score or t-value)2 * StdDev*(1-StdDev) / (margin of error)2 . Deciding the number of respondents for online surveys becomes difficult as the deciding factors get blurred; however respondents interested in a particular topic will only give their time.

What is the sample size calculator formula for population size?

The Sample Size Calculator uses the following formulas: 2. n (with finite population correction) = [z 2 * p * (1 – p) / e 2] / [1 + (z 2 * p * (1 – p) / (e 2 * N))] N is the population size.

How do you find the sample size of a 95\% Test?

The sample size (n) is calculated according to the formula: n = z2 * p * (1 – p) / e2. Where: z = 1.96 for a confidence level (α) of 95\%, p = proportion (expressed as a decimal), e = margin of error. z = 1.96, p = 0.5, e = 0.05. n = 1.962 * 0.5 * (1 – 0.5) / 0.052. n = 0.9604 / 0.0025 = 384.16.

What is the worst-case percentage of a sample?

However, if 35\% of the population select “Yes” and 65\% select “No”, there is a higher chance an error will be made, regardless of the sample size. When selecting the sample size required for a given level of accuracy, researchers should use the worst-case percentage; i.e., 50\%.

What is the probability of error in a survey?

If 98\% of the population select “Yes” and 2\% select “No,” there is a low chance of error. However, if 35\% of the population select “Yes” and 65\% select “No”, there is a higher chance an error will be made, regardless of the sample size.