Tutorial | Home

Hello everyone! welcome to my tutorial page hosted on GitHub. Here, I have complied some basic tutorial of statistical and phylogenetic analysis. Statistical analysis can be execute in R statistical programming. Different free softwares can be used for phylogenetic analysis.

View My GitHub Profile

Statistical analysis

Descriptive statistics

Descriptive statistics explore your data characteristics either quantitatively (mean, median, mode, standard deviatoin, variation etc.) or visually (distribution, skewness, kurtosis etc.).

Summary statistics

Normality

Box-plot

Inferential statistics

Inferential statistics enables you to draw inferences and conclusions from your data based on probabilty measure. In other words, it helps in drawing conclusions about a population by examining random samples.

Parameteric tests

If your data have normal distribution then you can execute following parametric test depending upon your data types.

A. Test for frequency data

Chi-square test

B. Test for continous data

  1. Correlation

    Pearson Correlation test

  2. Test of single group

    T-test

    Z-test

  3. Test of more than one group

    One-way ANOVA

  4. Test of two categories of groups

    Two-way ANOVA

Non-parameteric test