by mbalectures | Jun 18, 2010 | Descriptive statistics

The ratio of the sum of weighted prices of current and base time periods multiplied by 100 is called weighted aggregate price index. This index is calculated after allocating weights to each commodity on the basis of their relative importance. Weights of these...
by mbalectures | Jun 18, 2010 | Descriptive statistics

The method in which sum of prices of all the commodities in the current period is divided by the total prices in the base period is called unweighted aggregate index. Since simple aggregate index does not give relative importance to the commodities therefore it is...
by mbalectures | Jun 18, 2010 | Descriptive statistics

Simple price index is a percentage ratio that represents a comparison for a single commodity. For example, let the price of a calculator is $60 in 2005 and $80 in 2006. To compare the two prices, the price of one of the time periods is fixed as 100 and in this case it...
by mbalectures | Jun 16, 2010 | Descriptive statistics

The line which expresses the trend of two observed values is called a regression line. For example if the sample data is given then the value of y corresponding to the given value of x can be estimated by the method of least squares. Now because the value of y is...
by mbalectures | Jun 16, 2010 | Descriptive statistics

Rank correlation is used in a situation when the variable under consideration is not measurable e.g. intelligence, knowledge, experience, beauty etc. Such types of variables are judged by two different people or by two procedures. Therefore it is necessary to find the...
by mbalectures | 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 mbalectures | 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 mbalectures | 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 mbalectures | 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 mbalectures | 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...