Fidelis feng biography of rory
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When we try to compare proportions of a categorical outcome according to different independent groups, we can consider several statistical tests such as chi-squared test, Fisher's exact test, or z-test. The chi-squared test and Fisher's exact test can assess for independence between two variables when the comparing groups are independent and not correlated. The chi-squared test applies an approximation assuming the sample is large, while the Fisher's exact test runs an exact procedure especially for small-sized samples.
Chi-squared test
The chi-squared test is used to compare the distribution of a categorical variable in a sample or a group with the distribution in another one. If the distribution of the categorical variable is not much different over different groups, we can conclude the distribution of the categorical variable is not related to the variable of groups. Or we can say the categorical variable and groups are independent. For example, if men ha
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Electrification and residential well-being in China
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Publications
Publications
Barry, Kathryn E., Pinter, Gabriella A., Strini, Joseph W., Yang, Karrisa, Lauko, Istvan G., Schnitzer, Stefan A., Clark, Adam T., Cowles, Jane, Mori, Akira S., Williams, Laura, Reich, Peter B., Wright, Alexandra J. (): A graphical null model for scaling biodiversity–ecosystem functioning relationships. Journal of Ecology
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Clark, Adam Thomas, Arnoldi, Jean-Francois, Zelnik, Yuval R., Barabas, György, Hodapp, Dorothee, Karakoç, Canan, König, Sara, Radchuk, Viktoriia, Donohue, Ian, Huth, Andreas, Jacquet, Claire, de Mazancourt, Claire, Mentges, Andrea, Nothaaß, Dorian, Shoemaker, Lauren G., Taubert, Franziska, Wiegand, Thorsten, Wang, Shaopeng, Chase, Jonathan M., Loreau, Michel, Harpole, W. Stanley (): General statistical scaling laws for stability in ecological systems. Ecology Letters
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Compagnoni, Aldo, Levin, Sam, Childs, Dylan Z., Harpole, W. Stanley, Paniw, Maria, Römer, Gesa, Burns, Jean H., Che-Castaldo, Ju