μ is the symbol for the population mean in statistics.
fyi and related but not necessary for the above answer:
the sample mean is , enunciated by saying "x" bar.
hope this helped.
Citation : http://en.wikipedia.org/wiki/Arithmetic_mean
In statistics, this is the symbol for the "Variance"
The population mean is the mean value of the entire population. Contrast this with sample mean, which is the mean value of a sample of the population.
It means the sum total.
d bar, d with a bar over it
Since this is regarding statistics I assume you mean lower case sigma (σ) which, in statistics, is the symbol used for standard deviation, and σ2 is known as the variance.
In statistics, this is the symbol for the "Variance"
The population mean is the mean value of the entire population. Contrast this with sample mean, which is the mean value of a sample of the population.
It means the sum total.
d bar, d with a bar over it
Since this is regarding statistics I assume you mean lower case sigma (σ) which, in statistics, is the symbol used for standard deviation, and σ2 is known as the variance.
Statistics is the study of collecting , organizing , and interpreting data!
it means the common symbols and expression used in mathematics,geometry and statistics.
Greek letters are used for population parameters. Eg: µ is the population mean English letters are used for sample statistics. Eg: x-bar is the sample mean
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.
In statistics, µ (mu) represents the population mean, which is the average value of a set of data points in a complete population. It is a key parameter in descriptive statistics and is often used in inferential statistics to make predictions about a larger group based on a sample. The population mean is calculated by summing all values in the population and dividing by the total number of values.
The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling.Read more: statistics
While population statistics are not reliable, they are considered as being endangered in that area.While population statistics are not reliable, they are considered as being endangered in that area.While population statistics are not reliable, they are considered as being endangered in that area.While population statistics are not reliable, they are considered as being endangered in that area.While population statistics are not reliable, they are considered as being endangered in that area.While population statistics are not reliable, they are considered as being endangered in that area.While population statistics are not reliable, they are considered as being endangered in that area.While population statistics are not reliable, they are considered as being endangered in that area.While population statistics are not reliable, they are considered as being endangered in that area.While population statistics are not reliable, they are considered as being endangered in that area.While population statistics are not reliable, they are considered as being endangered in that area.