Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied.
https://en.wikipedia.org/wiki/Statistics
There are several kinds of mean in mathematics, especially in statistics. For a data set, the arithmetic mean, also known as arithmetic average, is a central value of a finite set of numbers: specifically, the sum of the values divided by the number of values.
https://en.wikipedia.org/wiki/Mean
In probability theory and statistics, variance is the expectation of the squared deviation of a random variable from its population mean or sample mean. Variance is a measure of dispersion, meaning it is a measure of how far a set of numbers is spread out from their average value.
https://en.wikipedia.org/wiki/Variance
In statistics, the standard deviation is a measure of the amount of variation or dispersion of a set of values. A low standard deviation indicates that the values tend to be close to the mean of the set, while a high standard deviation indicates that the values are spread out over a wider range.
https://en.wikipedia.org/wiki/Standard_deviation
In a set of measurements, accuracy is closeness of the measurements to a specific (reference) value, while precision is the closeness of the measurements to each other (how close are every measurements).
https://en.wikipedia.org/wiki/Accuracy_and_precision
