ANOVA for dissertation statistics

Help with Dissertation Statistics

ANOVA is a term frequently used by statisticians to denote analysis of variance. It is useful when there are one or two groups of variables. When there are two groups it give result similar to t-test, however, when there are more than two groups t-test gives dubious results. ANOVA is used when researcher wants to study the effect of one or more qualitative variables on a quantitative outcome variable. Here qualitative variables are referred to as factors. This test helps in comparing mean of more than two groups. Help with Dissertation Statistics can be used for statistical data analysis efficiently. 

There are various types of ANOVA test performed according to the data collected. The basic requirement of using ANOVA is that the populations used for study show normal distribution and have equal variance. It is used in a two-mean test to check for significant difference between two sample means. Also, it is used to compare multiple means, if the difference between multiple sample means is significant.

One-Way ANOVA or single factor ANOVA is simplest of all others. It is often used to compare means of collected data from more than two sources. The characteristic that differentiates the treatments or populations from one another is called factor of study and the different treatments or populations are known as the levels of the factor.

A two-way ANOVA or two factors analysis of variance measure the effects of two factors simultaneously. The populations from which the samples are collected should be normally distributed. Use of independent samples and populations with equal variation is necessary. All the groups must have the same sample size.

International Journal of Finance publishes original research contributions in the field of corporate finance after blind peer review by experts. The journals are internationally listed and the articles are rated by the readers to give a fair idea about their quality.