i mean conclucion
INFERENCES Any calculated number from a sample from the population is called a 'statistic', such as the mean or the variance.
Difference between actual amount and budgeted amount is called "Variance" and variance analysis is done to find out the reasons for variance
The square of the standard deviation is called the variance. That is because the standard deviation is defined as the square root of the variance.
Standard deviation
The error in which a particular numbers are set apart is called error variance.
Precession
Since actual usage of the direct material was greater than the standard allowed, the excess usage is called an unfavorable variance
r2, the coefficient of determination
The set of X1, X2, ..., XN is called X. Given that mean(X), is the sum of all X divided by N, the variance of X is mean((Xi - mean(X))2). The standard deviation of X is the square root of the variance.
In a database a field with a formula is called a calculated field. A calculated field should actually be in a table, as it can be calculated from data in other fields in the table, so it normally only appears in queries, reports and forms. In a spreadsheet it would just be a calculation.
The variance is standard deviation squared, or, in other terms, the standard deviation is the square root of the variance. In many cases, this means that the variance is bigger than the standard deviation - but not always, it depends on the specific values.
A variance is a statistical measure that quantifies the spread or dispersion of data points in a dataset. It indicates how much each data point differs from the mean of the dataset. A higher variance value suggests a wider spread of data points, while a lower variance value indicates a more clustered data distribution.