Insight Data Analytics

• Research Design

• Research Methodology Consultation

• Questionnaire Design

• Sample Size Determination

• Justification of the Sample Size

• Identify and Justify Data Collection Methodology

• Pilot Testing

• Conducting Statistical Tests

• Writing Interpretation Report

• Editing and Formatting the Statistical Chapter

• Consultation for solving doubts

• Descriptive Statistics

• Graphical Presentation of Data

• Tests for Normality of Data

• Parametric Tests of Significance

  • Independent t-test

  • Paired t-test

  • One-way ANOVA

  • Repeated Measure ANOVA

  • Two-way ANOVA

  • Pearson's correlation

  • Odds Ratio & Relative Risk

  • Linear Regression

  • Logistic Regression

• Non-parametric Tests

  • Mann-Whitney Test​

  • Wilcoxon Test

  • Kruskal-Wallis ANOVA

  • Friedman ANOVA

  • Chi-Squared Test

  • Spearman's Correlation 

  • Kendall's Tau coefficient

  • Reliability Analysis

  • Principal Component Analysis

  • Cluster Analysis

Interpreting your findings is about seeing whether what you found confirms or does not confirm the findings of previous studies in your literature review. Your findings may also offer novel insights or information.

Interpreting your results is important. All of your work setting up the proposal, collecting data and data analysis has been leading to the interpretation of your findings. Additionally, other key sections of your discussion follow from your interpretations, including the implications, recommendations for further research, and conclusions.

Software used for Data Analysis   

• IBM SPSS Statistics

• R-Programming

• Minitab

• STATA

• Epi-Info