METHODS OF DATA ANALYSIS
PARAMETRIC AND NON PARAMETRIC TESTS
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 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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|  |  Both population are normally distributed 
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|  |  The subjects are randomly selected 
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|  |  It is applied for nominal and ordinal data 
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|  |  Used to measure the degree of relationship 
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Detailed explanation-1: -In general, the coefficient of correlation measures the strength of the relationship between the two variables. Hence, statement B is true. The coefficient of correlation ranges from −1.00 (perfectly negative correlation) to +1.00 (perfectly positive correlation).
Detailed explanation-2: -The assumptions of the Pearson product moment correlation can be easily overlooked. The assumptions are as follows: level of measurement, related pairs, absence of outliers, and linearity. Level of measurement refers to each variable.
Detailed explanation-3: -Both variables are on an interval or ratio level of measurement. Data from both variables follow normal distributions. Your data have no outliers. Your data is from a random or representative sample. More items