About
This course provides a comprehensive overview of descriptive statistics, focusing on methods for summarizing and visualizing data. Participants will explore measures of central tendency, dispersion, and distribution shapes, gaining skills in applying these techniques in various research contexts. Learning Outcomes: 1. To understand the principles of descriptive statistics. 2. To be able to learn how to calculate and interpret central tendency measures. 3. To analyze data dispersion using range, variance, and standard deviation. 4. To visualize data effectively using histograms and boxplots. 5. To compare different descriptive statistical techniques. 6. To interpret summary statistics in research reports. 7. To assess data distributions and their implications. 8. To use software tools for descriptive statistical analysis. 9. To differentiate between descriptive and inferential statistics. 10. To apply descriptive statistics in real-world data analysis scenarios.
You can also join this program via the mobile app. Go to the app