As national education spending per pupil rises, student enrollment is dropping and test scores across the United States are falling, which raises concern over how effectively taxpayer dollars are ...

The code build a correlation like heat but using chi-square test for catagorical variables. Python and R have built in libraries for producing heatmap for correlation test but there is no such library ...

Abstract: A novel approach in this research is to use a combination of a classical method - the chi-square test and a machine learning technique - data clustering for revealing statistically ...

1 Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia 2 Mathematics, Physics, and Natural Science Division, University of New Mexico, Gallup, NM, United ...

The Chi-Square test is an important statistical method for determining the relationship between two categorical variables. It is particularly useful in hypothesis testing and in analyzing the ...

The chi-square test is a versatile statistical method used to determine if there is a significant association between two categorical variables in a sample. It can be employed in various fields ...

Abstract: In this paper, an improved residual chi-square test fault isolation approach is proposed. In order to improve reliability of strapdown inertial navigation system (SINS), redundant SINS ...

Standing in the winner's circle at Saratoga Race Course after the $500,000 Longines Test Stakes (G1), Wesley Ward seemed as surprised to find himself there as the pundits who let his Chi Town Lady go ...