2006-09-08 04:16:19 · 5 answers · asked by Dhanasekar P 2 in Science & Mathematics ➔ Engineering
Chi square is a non-parametric test of statistical significance for bivariate tabular analysis (also known as crossbreaks). Any appropriately performed test of statistical significance lets you know the degree of confidence you can have in accepting or rejecting an hypothesis. Typically, the hypothesis tested with chi square is whether or not two different samples (of people, texts, whatever) are different enough in some characteristic or aspect of their behavior that we can generalize from our samples that the populations from which our samples are drawn are also different in the behavior or characteristic.
Chi square is used most frequently to test the statistical significance of results reported in bivariate tables, and interpreting bivariate tables is integral to interpreting the results of a chi square test, so we'll take a look at bivariate tabular (crossbreak) analysis.
In our M.Tech. practical classes we performed it. But in professional life, naver got a chance to do it. So, only academic ideas, practical knowledge is zero though not nill.
2006-09-08 04:28:13 · answer #1 · answered by Dipak B 2 · 0⤊ 0⤋
The chi-squared test is used to to validate the randomness of a statistical sample. Excel contains a CHITEST function and the following site gives you the nuts and bolts:
http://mathworld.wolfram.com/Chi-SquaredTest.html
Good Luck
2006-09-08 11:27:35 · answer #2 · answered by Clive 6 · 0⤊ 0⤋
I used it a long time ago in a stats class that I took but I don't remember much about it. It was an introductory class for graduate students with very little stats knowledge. I didn't really pay attention too much. I sat in the back and played connect 4 with a friend. There were some real boneheads in the class. Half the class couldn't do simple algebra (e.i. solve for x, etc.) Stupid criminal justice majors.
Anyway, sorry I can't help
2006-09-08 11:30:11 · answer #3 · answered by alynnemgb 5 · 0⤊ 0⤋
In genetics it is used to statistically compare experimental results with those based upon some hypothesis. Basically it will let you say that your experimental results are consistent with or are not consistent with a particular hypothesis.
2006-09-08 11:30:48 · answer #4 · answered by hcbiochem 7 · 0⤊ 0⤋
Yup. I remember doing it when I studied biology. I have since changed majors and graduated from engineering instead and havent seen it since.
2006-09-10 14:48:07 · answer #5 · answered by Anonymous · 0⤊ 0⤋