Notations
In statistics the population attributes are written in capital letters while the small letters are denoted for sample attributes. The statistical notations could be described as below-
‘P’ shows the meaning for population proportion while p refers the sample proportion.
‘X’ is used for a set of population elements while the ‘x’ is used for the sample elements.
‘N’ shows the meaning of population size while n refers the mean of sample size.
The following statistics notation refers for the population:
‘µ’ is generally used for the population mean.
‘σ’ refers the meaning of standard deviation for a population.
σ2 used for the variance of population.
‘P’ used for the proportion of the population elements having a particular attribute.
‘Q’ is used for the proportion of the population elements that does not have a particular attribute and usually this is referred as Q = 1 – P.
‘N’ is used as a statistical notation and refers the total number of elements in a population.
‘ρ’ is used as a population co relation coefficient that is based on the elements of population. (know more about icse board , here)
Some linear regression statistics notations are described as:
For a population regression line the statistical notation ‘B0’ is the intercept constant.
B1 is named as regression coefficient or slope in a population regression line.
For coefficient of determination R2 is used.
In sample regression line b0 is the intercept constant.
For slope in the sample regression line b1 is the regression coefficient.
The statistical notations below described are used for the sample statistics:
For a sample s have the meaning for the standard deviation.
‘r’ is used as a sample co relation coefficient that is based on the elements of a sample.
Number of elements in a sample is denoted by ‘n’.
‘q’ is used for the proportion of the sample elements having no particular attribute. This is written to define ‘q’ in mathematical form q = 1 – p and
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