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Old Age Allowance (OAA), colloquially known as fruit money, is a Hong Kong government programme introduced in 1973 which provides monthly payments of $1,290 to elderly Hong Kong residents. There is no means test for the Higher Old Age Allowance given to recipients of age 70 or above.
The third table lists countries by the percentage of the working population with an income of less than $2.15 (the extreme poverty line), and up to $3.65 a day (the moderate poverty line). The data is from the most recent year available from ILOSTAT, the International Labour Organization database. [13]
It was named after Student (1927), [2] D. Newman, [3] and M. Keuls. [4] This procedure is often used as a post-hoc test whenever a significant difference between three or more sample means has been revealed by an analysis of variance (ANOVA). [1] The Newman–Keuls method is similar to Tukey's range test as both procedures use studentized range ...
The forerunner of the SWD was the Social Welfare Office, which was set up in light of the influx of population from the mainland China, post-World War II destruction and poverty, and the post-war expansion in the provision of services to meet education, healthcare and social needs. [3]
Rodger's method is a statistical procedure for examining research data post hoc following an 'omnibus' analysis (e.g., after an analysis of variance – anova). The various components of this methodology were fully worked out by R. S. Rodger in the 1960s and 70s, and seven of his articles about it were published in the British Journal of ...
In statistics, the two-way analysis of variance (ANOVA) is an extension of the one-way ANOVA that examines the influence of two different categorical independent variables on one continuous dependent variable. The two-way ANOVA not only aims at assessing the main effect of each independent variable but also if there is any interaction between them.
In a scientific study, post hoc analysis (from Latin post hoc, "after this") consists of statistical analyses that were specified after the data were seen. [1] [2] They are usually used to uncover specific differences between three or more group means when an analysis of variance (ANOVA) test is significant. [3] This typically creates a ...
The image above depicts a visual comparison between multivariate analysis of variance (MANOVA) and univariate analysis of variance (ANOVA). In MANOVA, researchers are examining the group differences of a singular independent variable across multiple outcome variables, whereas in an ANOVA, researchers are examining the group differences of sometimes multiple independent variables on a singular ...