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Before you can calculate a sample size, you need to determine a few things about the target population and the level of accuracy you need: Population size. How many people are you talking about in total? ... Margin of error (confidence interval) ... Confidence level. ... Standard deviation.
The four ways to determine sample size are: Power analysis. Convenience sampling, Random sampling, Stratified sampling.
For samples of any size drawn from a normally distributed population, the sample mean is normally distributed, with mean ?X=? and standard deviation ?X=?/?n, where n is the sample size.
The sum of all observations in the sample, divided by the size of the sample, N. The sample mean is an estimate of the population mean, ("mu") which is one of two parameters defining the normal distribution (the other is , see below).
The mean can be calculated only for numeric variables, no matter if they are discrete or continuous. It's obtained by simply dividing the sum of all values in a data set by the number of values.