Text Mining/ Text data mining is used for text analysis. It refers to the process of extracting rich information from text.

Time series analysis comprises methods for analyzing time-series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values.

There are many tests, few are:-

- A/B Test
- Student’sT Test
- Chi-square Test
- Fisher’s Exact Test
- Mann-Whitney Test

A/B testing is a form of statistical hypothesis testing with two variants leading to the technical term, two-sample hypothesis testing, used in the field of statistics. In simple words, A/B Testing in web analytics is used to compare the performance of 2 web design to get a better design. Suppose you have 2 designs to display an advertisement on your website, one being a picture and another a text or link. So, you can compare the performance of the two designs by A/B Testing.

Student’s T Test is used to determine if the two sets of data are significantly different from each other.

**Example **- Comparison of analytical results obtained with the same method on samples A and B, in order to confirm whether both samples contain the same percentage of the measured analyte or not.

The outcome of these tests is the acceptance or rejection of the null hypothesis (H0). The null hypothesis generally states that: "Any differences, discrepancies, or suspiciously outlying results are purely due to random and not systematic errors". The alternative hypothesis (Ha) states exactly the opposite.

The outcome of these tests is the acceptance or rejection of the null hypothesis (H0). The null hypothesis generally states that: "Any differences, discrepancies, or suspiciously outlying results are purely due to random and not systematic errors". The alternative hypothesis (Ha) states exactly the opposite.

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