Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison
Yıl: 2020 Cilt: 7 Sayı: 2 Sayfa Aralığı: 255 - 265 Metin Dili: İngilizce DOI: 10.21449/ijate.656077 İndeks Tarihi: 20-11-2020
Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison
Öz: Checking the normality assumption is necessary to decide whether aparametric or non-parametric test needs to be used. Different ways are suggestedin literature to use for checking normality. Skewness and kurtosis values are one ofthem. However, there is no consensus which values indicated a normal distribution.Therefore, the effects of different criteria in terms of skewness values weresimulated in this study. Specifically, the results of t-test and U-test are comparedunder different skewness values. The results showed that t-test and U-test givedifferent results when the data showed skewness. Based on the results, usingskewness values alone to decide about normality of a dataset may not be enough.Therefore, the use of non-parametric tests might be inevitable.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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| APA | Orcan F (2020). Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison. , 255 - 265. 10.21449/ijate.656077 |
| Chicago | Orcan Fatih Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison. (2020): 255 - 265. 10.21449/ijate.656077 |
| MLA | Orcan Fatih Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison. , 2020, ss.255 - 265. 10.21449/ijate.656077 |
| AMA | Orcan F Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison. . 2020; 255 - 265. 10.21449/ijate.656077 |
| Vancouver | Orcan F Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison. . 2020; 255 - 265. 10.21449/ijate.656077 |
| IEEE | Orcan F "Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison." , ss.255 - 265, 2020. 10.21449/ijate.656077 |
| ISNAD | Orcan, Fatih. "Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison". (2020), 255-265. https://doi.org/10.21449/ijate.656077 |
| APA | Orcan F (2020). Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison. International Journal of Assessment Tools in Education, 7(2), 255 - 265. 10.21449/ijate.656077 |
| Chicago | Orcan Fatih Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison. International Journal of Assessment Tools in Education 7, no.2 (2020): 255 - 265. 10.21449/ijate.656077 |
| MLA | Orcan Fatih Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison. International Journal of Assessment Tools in Education, vol.7, no.2, 2020, ss.255 - 265. 10.21449/ijate.656077 |
| AMA | Orcan F Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison. International Journal of Assessment Tools in Education. 2020; 7(2): 255 - 265. 10.21449/ijate.656077 |
| Vancouver | Orcan F Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison. International Journal of Assessment Tools in Education. 2020; 7(2): 255 - 265. 10.21449/ijate.656077 |
| IEEE | Orcan F "Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison." International Journal of Assessment Tools in Education, 7, ss.255 - 265, 2020. 10.21449/ijate.656077 |
| ISNAD | Orcan, Fatih. "Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison". International Journal of Assessment Tools in Education 7/2 (2020), 255-265. https://doi.org/10.21449/ijate.656077 |
