Results 251 to 260 of about 10,513,869 (302)

Chi-Square Test

2012
Previous chapters have presented information on sampling distributions, Central Limit Theorem, confidence intervals, TYPE I error, TYPE II error, and hypothesis testing. This information is useful in understanding how sample statistics are used to test differences between population parameters.
Randall Schumacker, Sara Tomek
openaire   +2 more sources

Chi-Square Tests

1984
The tests in this chapter (with one exception) are concerned with data in the form of frequencies, that is to say with counts of the numbers of items belonging to various groups or classes. The tests may not be used on data in the form of ranks or measurements.
openaire   +1 more source

A Guide to Chi-Squared Testing

Journal of the American Statistical Association, 1997
J. Best, P. E. Greenwood, M. S. Nikulin
openaire   +1 more source

A chi squared test

2022
openaire   +1 more source

HYPOTHESIS TESTING OF CHI-SQUARE

1991
H. Mark, J. Workman
openaire   +1 more source

Chi-Square Testing

Pearson’s chi-squared (χ²) test is a statistical method used to evaluate whether observed categorical frequencies differ from those expected under a specified hypothesis (Pearson, 1900). It is one of the most widely applied techniques for analyzing categorical data in the social and educational sciences, where researchers frequently work with survey ...
openaire   +1 more source

Combined Neyman–Pearson Chi-Square: An Improved Approximation to the Poisson-Likelihood Chi-Square

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2020
Xin Qian, Hanyu Wei, Chao Zhang
exaly  

CHI-SQUARE TEST

2023
openaire   +1 more source

The Chi-Square Test

American Journal of Evaluation, 2012
Christina A. Christie
exaly  

Principles and Practice of Scaled Difference Chi-Square Testing

Structural Equation Modeling, 2012
Albert Satorra, Fred B Bryant
exaly