ADVANCED STATISTIC IN FOOD TECHNOLOGY (0/2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: LO1 – Use statistical principles in food science applications; LO2 – Employ appropriate data collection and analysis technologies; LO3 – Construct visual representation of data with statistical results.

Topics:

1. Regression & Correlation Analysis;
2. Research & Data Visualization;
3. Principle Component Analysis (PCA);
4. Descriptive Statistics & Normality Test;
5. Confidence Interval & Sampling size;
6. Conjoint Test;
7. Student t test;
8. Non Parametric Test 1;
9. Statistics for Quality Control Data;
10. Analysis of Variance.