Missing data present a perennial challenge in scientific research, potentially undermining the validity of conclusions if not addressed rigorously. The analysis of missing data encompasses a broad ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

Assumptions are like rules that must be followed to ensure results of a statistical analysis are valid. Common methods for generating confidence intervals operate under various assumptions. First, ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...

WholeSum raised new funding to expand its AI-based qualitative analytics platform, helping organisations extract reliable ...

A key component of election studies is working with diverse forms of data. These include voter lists, candidate details, ...

The 1951 Convention and the 1969 OAU Convention provide clear refugee definitions. The fact that more than 140 countries have acceded to the 1951 Convention or its 1967 Protocol, and many of these ...

IGNOU launches M.Sc. in Data Science and Analytics via Open Distance Learning to train students in computational and statistical data skills for problem solving.