This study examines the application of Chi-Square test in time series data which considers mixed model structure and linear trending curve. The is applied to seasonal variances Buys-Ballot table. emphasis assess validity using empirical examples. One hundred simulated numerical examples are used illustrate applicability test. Using example, successfully recorded 100% times for model. expresses ...

The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group differences when the dependent variable is measured at a nominal level. Like all non-parametric statistics, the Chi-square is robust with respect to the distribution of the data. Specifically, it does not require equality of variances among the study groups or homoscedasticity in the data. It permits...

The original chi-square test, often known as Pearson’s chi-square, dates from papers by Karl Pearson in the earlier 1900s. The test serves both as a ”goodnessof-fit” test, where the data are categorized along one dimension, and as a test for the more common ”contingency table”, in which categorization is across two or more dimensions. Voinov and Nikulin, this volume, discuss the controversy ove...

Scientists often use the Chi-square (χ) test to determine the “goodness of fit” between theoretical and experimental data. In this test, we compare observed values with theoretical or expected values. Observed values are those that the researcher obtains empirically through direct observation. The theoretical or expected values are developed on the basis of an established theory or a working hy...

This research assessed the effectiveness of interdisciplinary interventions involving physicians, pharmacists and nutritionists, aimed at the promotion of the Rational Use of Drugs. It is a study of a prospective and analytical nature conducted with a population of elderly females, where the effectiveness of the intervention was assessed according to indicators of the Rational Use of Drugs esta...