Quantitative Data Analysis Services

Quantitative data collection and analysis is one of the most important stages of thesis writing. Since quantitative data can be used for mathematical calculations and statistical analysis, it helps answer pertinent research questions such as ‘How many?’ and ‘How often?’.

Quantitative data analysis is one of your core competencies and we are proficient in providing comprehensive and detailed instruction and assistance in all aspects of statistical data analysis. By harnessing the vast and collective experience of our team, you can draft and finalize your thesis’ quantitative data analysis section with ease. We use softwares like SPSS, MS Excel, Amos, STATA, EViews, R, Python and Minitab for conducting descriptive statistics, inferential statistics and predictive statistics. We also provide an interpretation report when doing quantitative data analysis. Some of the common statistical tests used are Anova, Mancova, Chi-Square, Logistic Regression, Path Analysis, CFA, PCA and T Test.