Statistical formulas are used to calculate values related to statistical concepts or analyses. Here we will discuss common formulas and what they stand for.

The term population mean, which is the average score of the population on a given variable, is represented by:

μ = ( Σ X_{i} ) / N

The symbol ‘μ’ represents the population mean. The symbol ‘Σ X_{i}’ represents the sum of all scores present in the population (say, in this case) X_{1 }X_{2} X_{3} and so on. The symbol ‘N’ represents the total number of individuals or cases in the population.

The population standard deviation is a measure of the spread (variability) of the scores on a given variable and is represented by:

σ = sqrt[ Σ ( X_{i} – μ )^{2} / N ]

The symbol ‘σ’ represents the population standard deviation. The term ‘sqrt’ used in this statistical formula denotes square root. The term ‘Σ ( X_{i} – μ )^{2}’ used in the statistical formula represents the sum of the squared deviations of the scores from their population mean.

The population variance is the square of the population standard deviation and is represented by:

σ^{2} = Σ ( X_{i} – μ )^{2 }/ N

The symbol ‘σ^{2’ }represents the population variance.

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The sample mean is the average score of a sample on a given variable and is represented by:

x_bar = ( Σ x_{i} ) / n

The term “x_bar” represents the sample mean. The symbol ‘Σ x_{i}’ used in this formula represents the represents the sum of all scores present in the sample (say, in this case) x_{1} x_{2} x_{3 }and so on. The symbol ‘n,’ represents the total number of individuals or observations in the sample.

The statistic called sample standard deviation, is a measure of the spread (variability) of the scores in the sample on a given variable and is represented by:

s = sqrt [ Σ ( x_{i} – x_bar )^{2} / ( n – 1 ) ]

The term ‘Σ ( x_{i }– x_bar )^{2}’ represents the sum of the squared deviations of the scores from the sample mean.

The sample variance is the square of the sample standard deviation and is represented by:

s^{2} = Σ ( x_{i} – x_bar )^{2} / ( n – 1 )

The symbol ‘s^{2}’ represents the sample variance.

The pooled sample standard deviation is a weighted estimate of spread (variability) across multiple samples. It is represented by:

s_{p} = sqrt [ (n_{1} – 1) * s_{1}^{2} + (n_{2} – 1) * s_{2}^{2} ] / (n_{1} + n_{2} – 2) ]

The term ‘s_{p}’ represents the pooled sample standard deviation. The term ‘n_{1}’ represents the size of the first sample, and the term ‘n_{2}’ represents the size of the second sample that is being pooled with the first sample. The term ‘s_{1}^{2}’ represents the variance of the first sample, and ‘s_{2}^{2}’ represents the variance of the second sample.

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