by kasi | Jun 16, 2010 | Descriptive statistics
Correlation measures the degree of interdependence (association) between two variables. If two variables are so related that an increase or decrease of one is found in connection with increase or decrease of the other, then the two variables are said to be correlated.... by kasi | Jun 15, 2010 | Descriptive statistics
Characteristic of data which describes the extent to which the observations vary among themselves is called dispersion. In other words it is the scatter or spread of the values from one another or from some common value. It is important to calculate the dispersions... by kasi | Jun 15, 2010 | Descriptive statistics
Characteristic of data which describes the extent to which the observations vary among themselves is called dispersion. In other words it is the scatter or spread of the values from one another or from some common value. It is important to calculate the dispersions... by kasi | Jun 15, 2010 | Descriptive statistics
The calculation of Coefficient of Variation is important because standard deviation can only be used to measure dispersion present in two distributions in case the mean and the units of measurement of both the distributions are same. Therefore a relative measure is... by kasi | Jun 15, 2010 | Descriptive statistics
Standard deviation is the most widely used measure of dispersion. It is defined as the positive square root of sum of the square deviation of the variable from its mean divided by total number of observations. In other words it is the positive square root of a... by kasi | Jun 15, 2010 | Descriptive statistics
In case of mean absolute deviation every observation is taken into consideration. Mean absolute deviation is the arithmetic mean of all deviations from mean (or alternately from median). If deviations of the values are taken from mean, the mean of these deviations...