| Code |
Display |
Definition |
average |
Average |
The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period. |
maximum |
Maximum |
The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period. |
minimum |
Minimum |
The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period. |
count |
Count |
The [number] of valid measurements over the stated period that contributed to the other statistical outputs. |
total-count |
Total Count |
The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values. |
median |
Median |
The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period. |
std-dev |
Standard Deviation |
The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period. |
sum |
Sum |
The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period. |
variance |
Variance |
The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period. |
20-percent |
20th Percentile |
The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period. |
80-percent |
80th Percentile |
The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period. |
4-lower |
Lower Quartile |
The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period. |
4-upper |
Upper Quartile |
The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period. |
4-dev |
Quartile Deviation |
The difference between the upper and lower [Quartiles](https://en.wikipedia.org/wiki/Quartile) is called the Interquartile range. (IQR = Q3-Q1) Quartile deviation or Semi-interquartile range is one-half the difference between the first and the third quartiles. |
5-1 |
1st Quintile |
The lowest of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population. |
5-2 |
2nd Quintile |
The second of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population. |
5-3 |
3rd Quintile |
The third of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population. |
5-4 |
4th Quintile |
The fourth of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population. |
skew |
Skew |
Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or even undefined. Source: [Wikipedia](https://en.wikipedia.org/wiki/Skewness). |
kurtosis |
Kurtosis |
Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis). |
regression |
Regression |
Linear regression is an approach for modeling two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables. Source: [Wikipedia](https://en.wikipedia.org/wiki/Simple_linear_regression) This Statistic code will return both a gradient and an intercept value. |