METHODS OF DATA ANALYSIS
PARAMETRIC AND NON PARAMETRIC TESTS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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(Two)-Way ANOVA
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Paired t-test
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Pearson Product-Moment Correlation Test
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Pearson’s f
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Detailed explanation-1: -In statistics, the Pearson correlation coefficient (PCC, pronounced /ˈpɪərsən/) ― also known as Pearson’s r, the Pearson product-moment correlation coefficient (PPMCC), the bivariate correlation, or colloquially simply as the correlation coefficient ― is a measure of linear correlation between two sets of data.
Detailed explanation-2: -The Pearson product-moment correlation will only test for the linear relationship (positive or negative) between the two variables instead of curvilinear or zero relationships.
Detailed explanation-3: -It is calculated as (x(i)-mean(x))*(y(i)-mean(y)) / ((x(i)-mean(x))2 * (y(i)-mean(y))2. read more between the two variables indicates using the Pearson correlation coefficient. It also determines the exact extent to which those variables are correlated.