It is the lower case Greek letter sigma. I cannot show it here because this browser converts it to the Roman letter s, but the Greek one looks like an o with a tilde attached to its top.
Sigma
σ (sigma)
s is the sample standard deviation. it is computed by taking the square root of: sum(x-mean)2/n-1
N is neither the sample or population mean. The letter N represents the population size while the small case letter n represents sample size. The symbol of sample mean is x̄ ,while the symbol for population mean is µ.
the small greek letter sigma squared.
Sigma
A lower case s is the symbol.
σ sigma
The symbol for standard deviation is sigma , σ.
The symbol for standard deviation is pronounced as "sigma" in statistics. It is represented by the Greek letter σ. In mathematical and statistical contexts, σ is commonly used to denote the standard deviation of a population or a sample.
It is the lower case Greek sigma.
σ (sigma)
No. But they are related. If a sample of size n is taken, a standard deviation can be calculated. This is usually denoted as "s" however some textbooks will use the symbol, sigma. The standard deviation of a sample is usually used to estimate the standard deviation of the population. In this case, we use n-1 in the denomimator of the equation. The variance of the sample is the square of the sample's standard deviation. In many textbooks it is denoted as s2. In denoting the standard deviation and variance of populations, the symbols sigma and sigma2 should be used. One last note. We use standard deviations in describing uncertainty as it's easier to understand. If our measurements are in days, then the standard deviation will also be in days. The variance will be in units of days2.
The symbol represents the mean of a sample in statistical analysis. It is significant because it helps to estimate the population mean and understand the central tendency of the data.
The phi-hat symbol in statistical analysis represents the sample estimate of the population parameter phi. It is important because it helps researchers make inferences about the population based on the data collected from a sample.
there is no symbol for it.
s is the sample standard deviation. it is computed by taking the square root of: sum(x-mean)2/n-1