# RESEARCH METHODOLOGY

## METHODS OF DATA ANALYSIS

### PARAMETRIC AND NON PARAMETRIC TESTS

 Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
value of correlation coefficient:-1 (perfect negative correlation), +1 (very high correlation) & 0 (no correlation).
 A true B false C Either A or B D None of the above
Explanation:

Detailed explanation-1: -The value of the number indicates the strengthof the relationship: r = 0 means there is no correlation. r = 1 means there is perfect positive correlation. r =-1 means there is a perfect negative correlation.

Detailed explanation-2: -The Pearson coefficient shows correlation, not causation. Pearson coefficients range from +1 to-1, with +1 representing a positive correlation, -1 representing a negative correlation, and 0 representing no relationship.

Detailed explanation-3: -In statistics, a perfect positive correlation is represented by the correlation coefficient value +1.0, while 0 indicates no correlation, and-1.0 indicates a perfect inverse (negative) correlation.

Detailed explanation-4: -A correlation coefficient of zero indicates that no linear relationship exists between two continuous variables, and a correlation coefficient of −1 or +1 indicates a perfect linear relationship. The strength of relationship can be anywhere between −1 and +1.

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