Normal Law Course
Dive into the normal distribution using authentic exam score data. Visualise distributions, conduct normality tests, utilise z-scores and percentiles, and establish equitable grading cutoffs confidently for informed decision-making in statistics.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain hands-on skills to assess real score distributions, determine normal model suitability, and apply it effectively. Master histograms, density plots, Q-Q plots, normality tests, z-scores, percentiles, and reporting methods for fair cutoffs, clear explanations, and reproducible data-driven decisions.
Elevify advantages
Develop skills
- Perform normal diagnostics: visually and statistically test exam scores for Gaussian fit.
- Implement z-score grading: create fair, data-informed cutoffs using standard normal methods.
- Visualise distributions: construct histograms, KDEs, and Q-Q plots to uncover data shape.
- Master descriptive statistics: summarise exam results with reliable, straightforward metrics.
- Model realistic scores: quickly simulate bounded, skewed, and noisy exam data.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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