Statistics and Statistical Treatment

    There’s a stark difference between statistics and statistical treatment. Statistics is a numerical index describing a characteristic of a sample. Statistical Treatment, on the other hand, is a mathematical treatment used for summarizing or analyzing numerical data or information. The following are some of the commonly-used statistical treatments.

    1. Analysis of Variance (ANOVA). This is a statistical procedure applied to determine whether the difference between the mean scores of two or more groups on a dependent variable is statistically significant.
    2. Chi-square. This is a nonparametric test of statistical significance that is used when the research data are in the form of frequency counts for two or more categories.
    3. Factor Analysis. A statistical procedure for reducing a set of measured variables to a smaller number of variables by combining variables that are moderately or highly correlated with each other.
    4. Multiple Regression. A statistical procedure for determining the magnitude of the relationship between a criterion variable and a combination of two or more prediction variables.
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