Across
- 2. The square of the standard deviations
- 6. This indicates lack of uniformity in the size of items
- 9. It divides the distribution into hundred equal parts
- 10. When only two variables are studied, then such a correlation is called
- 11. In order to save time in calculating mean from a data set containing a large number of observations, this is used
- 13. It concentrates on the centre of a distribution
Down
- 1. Coefficient of Variation was introduced by
- 3. It is the most frequently observed data value
- 4. When two variables move in the same direction, then such a correlation is called
- 5. The relationship between two variables of a series so that changes in the values of o9ne variable are associated with changes in the values of the other variable
- 7. It is the central value which represents the entire distribution
- 8. The numerical value of a standard deviation can never be
- 12. This cannot be determined graphically