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From the P - values in Chi-squared test, it can be interpreted that the factors associated with the occurrence of gastrointestinal haemorrhage are total leucocyte count more than 10,000/[mm.
From Tables 22 - 27, after performing Chi-squared test, none of the tested factors show any statistically significant association with the occurrence of intra-abdominal abscess.
Factors Affecting Infection and Sepsis, Results of Chi-Squared Test
From Tables 28-32, according to Pearson Chi-squared test, the factors significantly affecting infective and septic complications are total leucocyte count more than 10000, amount of bilirubin more than 10 mg/dL, body mass index less than 17.
The chi-squared test employed by Boncek and Harden is usually encountered when dealing with a multinomial random variable.
If there are only two possible outcomes for each trial, a chi-squared test with only one degree of freedom is still technically valid, but is unnecessarily complex.
Employing a hypothesis test with the binomial random variable--or by employing the Central Limit Theorem to approximate it by a normal random variable--might bring the example within the range of understanding of more students than does use of the chi-squared test.
As a rule of thumb, if you find yourself using a chi-squared test with only one degree of freedom, consider whether there is a simpler way to view the problem.
These important ideas include measures of central tendency, measures of dispersion and the logic behind chi-squared tests, analysis of variance tests and correlation coefficients.
Their topics are chi-squared tests, goodness-of-fit tests based on empirical processes, rank tests, and other non-parametric tests.
Chi-squared tests of the association between mathematics proficiency and the covariates as well as correlation analyses among the covariates suggest that the absence of some variables from the prediction equations may be a results of multicolinearity among the explanatory variables.