Many classical methods of data analysis depend on the assumption of normality of the population under study, for example: The Ttest ,The analysis of variance,Testing regression coefficients in regression analysis and The Ftest for homogeneity of variance.Hence, the normality assumption should be first verified before utilizing methods that assume normality. Over passing this step may lead the researcher to misleading findings, and make results loose credibility.In addition, checking whether the data follows a normal distribution affects the determination of the sample size necessary for the construction of confidence intervals and hypothesis testing.
Salem, . A. E. K. M. A. (2017). A comparative Study To Some Tests of Normality. Journal of Alexandria University for Administrative Sciences, 54(2), 107-122. doi: 10.21608/acj.2017.44704
MLA
ٍShimaa Abd El kader Mohamed Ahmed Salem. "A comparative Study To Some Tests of Normality", Journal of Alexandria University for Administrative Sciences, 54, 2, 2017, 107-122. doi: 10.21608/acj.2017.44704
HARVARD
Salem, . A. E. K. M. A. (2017). 'A comparative Study To Some Tests of Normality', Journal of Alexandria University for Administrative Sciences, 54(2), pp. 107-122. doi: 10.21608/acj.2017.44704
VANCOUVER
Salem, . A. E. K. M. A. A comparative Study To Some Tests of Normality. Journal of Alexandria University for Administrative Sciences, 2017; 54(2): 107-122. doi: 10.21608/acj.2017.44704
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