chi-square distribution

(redirected from Chi-squared)
Also found in: Medical, Encyclopedia, Wikipedia.
Related to Chi-squared: Chi-squared statistic

chi-square distribution

(ˈkaɪˌskwɛə)
n
(Statistics) statistics a continuous single-parameter distribution derived as a special case of the gamma distribution and used esp to measure goodness of fit and to test hypotheses and obtain confidence intervals for the variance of a normally distributed variable
References in periodicals archive ?
How to interpret chi-squared. Retrieved from https://sciencing.com/interpret-chisquared-8089141.html
From the results of Pearson Chi-squared test, it can be interpreted that the factors significantly affecting the occurrence of surgical site infections are alkaline phosphate levels above 150 IU/L, body mass index less than 17.5, WBC count more than 10000, presence of ascites, serum urea levels higher than 40 mg/dL, presence of diabetes mellitus, amount of bilirubin more than 10 mg/dL and ALT levels more than 100 IU/L.
[S.sub.i] is an approximate standard normal deviate and [S.sup.2.sub.i] is approximately chi-squared distributed.
Chi-squared statistics revealed that age was significantly associated with the prevalence of WMSDs in the recent 12 months ([chi square] = 289.885, P < 0.01) and the prevalence of WMSDs in lower back ([chi square] = 168.715, P < 0.01), neck ([chi square] = 250.122, P < 0.01), shoulder ([chi square] = 152.239, P < 0.01), and back ([chi square] = 108.742, P < 0.01).
RxC chi-squared tests were employed to compare the distributions of genotypes and alleles in each STR.
Chi-squared goodness of fit tests with applications.
Small-sample comparisons of exact levels for the Chi-squared goodness-of-fit statistics.
The curve is obtained by taking the difference between the trapping and non-trapping runs and then fit to the function y = [y.sub.0] + A exp(-t/[tau]) with parameter estimates [y.sub.0] = 0.04 [+ or -] 0.01 [s.sup.-1], A = (1.94 [+ or -] 0.03) [s.sup.-1] and [tau] = ([621.sub.-17.sup.+18]) s with [chi square] = 0.96, where [chi square] is the reduced chi-squared value.
A chi-squared test for independence was used to compare the percent of yellow, green, and brown leaves for the broccoli and lettuce seedlings for each extract.