Hypothesis testing is a procedure for evaluating the strength of a hypothesis. The methodology depends on the data and the reason for the analysis.

With the rise of direct to consumer (DTC) genetic testing companies, and an explosion of genomic data emerging from individual DNA, genome companies are racing to build a search engine for our DNA.

Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

Key Points Normality refers to how your data fits into a normal distribution. You can find out if your data is uniform by conducting a normality test. Normality tests are a fast way of determining ...

Planning for data migration? This guide will help you take the right steps to make sure everything runs smoothly.