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Chi-square hypothesis tests as Non-parametric test(X2)
They contain amongst others
i. Test for goodness of fit
ii. Test for independence of attributes
iii. Test of homogeneity
iv. Test for population variance
The Chi-square test (χ2) is utilized while comparing an actual observed distribution along with a hypothesized or described distribution.
It is described by; χ2 = Σ(O - E)2/E Whereas O = Observed frequency
E = Expected frequency
The computed value of χ2 is compared along with that of tabulated χ2 for a given significance level and degrees of freedom.
A patient will receive hemodialysis for 2.5 hours. The amount of fluid removed per hour is 1.4 liters. The total amount removed in liters, will be
Estimation of population mean If the sample size is small (n In this case Population mean µ = x¯ ± tS x¯ x¯ = Sample mean S x¯ = s/√n S = standard deviation
how do you do it
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Can you explain that a wave through the origin always has a slope of one or not?
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Bayes’ Theorem In its general form, Bayes' theorem deals with specific events, such as A 1 , A 2 ,...., A k , that have prior probabilities. These events are mutually exclusive
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