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Since the tabulated value of Chi-square is greater than the calculated value, it is evident that data set obtained by the researcher confirms that variables 'Previous work experience in job' and 'Intention after completion of Degree' are independent.
A significance value of 0.181 and 0.262 of Pearson Chi-square indicates non-dependence of 'Family size' on 'Career intention of student after completion of degree.' Since the tabulated value of Chi-square (~16.919) is greater than the calculated value (12.621), it is evident that variables 'Family size' and 'Career intention after completion of degree' are independent.
Expression for calculating the confidence interval is given as: {text{CI}} = sqrt {frac{F(n1,n2)xVe}{Ne}} (4 where F (n1, n2) = Tabulated value of F-ratio, Ve = Error variance, Ne = Number of replications.
The tabulated value of Chi-square (~21.026) is found to be greater than the calculated value (~16.399), it therefore becomes evident that variables 'Fathers' occupation' and 'Intention after completion of degree' are independent.
If the model predicts the experimental results well, the F value should be greater than the tabulated value of F distribution for a certain number of degrees of freedom in the model at a level of significance α.
The 68% and 90% confidence levels are obtained from the χ2 values for each set of parameters using the following equation of Lampton et al. (1976); where, S l is the contour corresponding to significance α, Smin is the minimum value of χ2 and is the tabulated value of χ2 for p parameters and significance α.
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From the tabulated values of positive sequence voltage phasor magnitudes at buses 1 to 9, it is determined that the faulted bus in the system is Bus 4, as it has the least magnitude value.
Comparison of calculated and tabulated values of t and χ 2 showed the results in favour of the data collected from the experiment and this has been shown on probability charts.
Here, given random variables V,W, ( mathbb{E}left{VBig|Wright} ) denote the expectation of V given W. In their implementation [30], Mäkitalo and Foi provide tabulated values of this inverse for arguments within the range [ A(0),100].
The Fe0 literature is full of partly tabulated values of the adsorption/reduction/removal capacity (e.g., mg g−1) of Fe0 for individual contaminants (Johnson et al. 1996; Richardson and Nicklow 2002; McGeough et al. 2007; Sleiman et al. 2016).
Since the calculated value of Chi-square is greater than the tabulated value.
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