12/06/2022 | By: FDS
Variance is a measure of the spread of a distribution. It is defined as the mean square deviation of a distribution from its expected value. There is a direct relationship between variance and standard deviation. The variance is the square of the standard deviation.
12/06/2022 | By: FDS
A parametric test is a test used to test a hypothesis about a particular parameter structure. It examines the statistical properties of a set of variables to determine whether they fit a particular model. Parametric tests typically use parameters calculated from the distribution of theoretical parameters to confirm or reject a hypothesis. These tests are often used in statistics to test hypotheses about populations or treatment effects.
12/06/2022 | By: FDS
The mean value is the arithmetic mean of a series of numbers. It is calculated by adding up all the values and dividing the result by the number of values.
12/06/2022 | By: FDS
A significance test is a statistical test used to determine whether or not a result is significant. It is used to determine whether the results of an experiment or study are truly relevant or whether they are simply due to chance. A significance test is usually used to test a hypothesis by determining the probability that a particular observation is random.
12/06/2022 | By: FDS
Standardization is a statistical process in which a given set of numbers is converted into a new set of numbers that all have the same mean and standard deviation. The newly generated set of numbers is called standardized data. It is often used to compare different sets of data or to put data into a more homogeneous format.