How do you find the minimum sample size when estimating a population mean?
This can often be determined by using the results from a previous survey, or by running a small pilot study. This is the minimum sample size you need to estimate the true population mean with the required margin of error and confidence level.
What is the minimum sample size required?
The minimum sample size is 100 Most statisticians agree that the minimum sample size to get any kind of meaningful result is 100. If your population is less than 100 then you really need to survey all of them.
How do you find the sample size of a population?
How to Calculate Sample Size
- Determine the population size (if known).
- Determine the confidence interval.
- Determine the confidence level.
- Determine the standard deviation (a standard deviation of 0.5 is a safe choice where the figure is unknown)
- Convert the confidence level into a Z-Score.
How do you calculate sample size if population is unknown?
Popular Answers (1) 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 many samples are needed to estimate a population mean?
Two independent simple random samples, one from the population of men and one from the population of women, would provide two sample means, x̄1 and x̄2. The difference between the two sample means, x̄1 − x̄2, would be used as a point estimate of the difference between the two population means.
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.
How do you estimate sample size?
In order to estimate the sample size, we need approximate values of p1 and p2. The values of p1 and p2 that maximize the sample size are p1=p2=0.5. Thus, if there is no information available to approximate p1 and p2, then 0.5 can be used to generate the most conservative, or largest, sample sizes.
