by kasi | Jun 2, 2010 | Descriptive statistics
When data is arranged in ascending or descending order, it can be divided into various parts by different values such as quartiles, deciles and percentiles. These values are collectively called quantiles and are the extension of median formula which divides data into... by kasi | Jun 2, 2010 | Descriptive statistics
When a data is collected from a source, it is impractical to keep in mid all values that may be present in a set of data. Therefore a single value which may be considered typical of the set of data should be taken. Central tendency is that single value of the data... by kasi | Jun 1, 2010 | Descriptive statistics
The data arranged in ascending or descending order can be divided into 100 equal parts by 99 values. These values are called percentiles and denoted by P1, P2,………..P99. There is a slight difference in the calculation of percentiles in case of grouped and ungrouped... by kasi | Jun 1, 2010 | Descriptive statistics
The arranged data can be divided into ten equal parts by nine values. These values are called deciles and denoted by D1, D2,…….D9. Two different types of formulas are used for the calculation of deciles in case of grouped data (data presented in frequency... by kasi | Jun 1, 2010 | Descriptive statistics
The arranged data can be divided into four equal parts by three values. These values are called quartiles and are denoted by Q1, Q2 and Q3. Here Q1 is first quartile, Q2 is second quartile and Q3 is third quartile. Calculation of quartiles for ungrouped data...