Mathematics Resources

For most people out there...
mathematics is a really complex and complicated stuff...
they even feared and worried hearing the words MATHEMATICS...
and there are cases that happen where
a maths student especially in universities or colleges commit suicide because of
pressure they are facing.Moreover,this can be prove as we can see that there are
only several people out there are really mastering this field whether in a further
studies or even career...what i mean here is not about the professional like engineers,
doctors,architects or anything that only apply certain branches of maths in their job
but for those who are really do maths things like accountants,statistical officers,
maths reseachers and manymore...no matter what it is...actually,maths is a really
important thing for us in conducting life.....from a simple bussiness like using money for
shopping to the larger ones like building our public transport operational system......
See!!!!we are using maths everywhere,anywhere,anytime and everytime...So,who ever you are...
no matter you go and how far you'll be,by hook or by crook... maths is a part of your life....
so,enjoying maths...you'll be enjoying your life!!!!

In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance is partitioned into components due to different explanatory variables. The initial techniques of the analysis of variance were developed by the statistician and geneticist R. A. Fisher in the 1920s and 1930s, and is sometimes known as Fisher's ANOVA or Fisher's analysis of variance, due to the use of Fisher's F-distribution as part of the test of statistical significance.

A chi-square test is any statistical hypothesis test in which the test statistic has a chi-square distribution when the null hypothesis is true, or any in which the probability distribution of the test statistic (assuming the null hypothesis is true) can be made to approximate a chi-square distribution as closely as desired by making the sample size large enough.

Linear regression is a form of regression analysis in which observational data are modeled by a function which is a linear combination of the model parameters and depends on one or more independent variables. In simple linear regression the model function represents a straight line. The results of data fitting are subject to statistical analysis.