This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

Quantitative data is information that has been procured through telephone or mail surveys, where the sample size is relatively large. Quantitative data is more reliable in predicting future consumer ...

Data Interpretation is an important part of the Quantitative Aptitude section in many competitive exams. It tests the ability to read, understand, and draw conclusions from data presented in the form ...

Data analysis is a vital aspect of the work of an analytical scientist, and it is often facilitated by using Excel. Excel may be used to carry out the statistical analysis of data, automate the ...

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 ...

Equal Opportunity and Non-discrimination at Princeton University: Princeton University believes that commitment to equal opportunity for all is favorable to the free and open exchange of ideas, and ...