This course presents a broad treatment of statistical methods and provides an in-depth understanding of the principles behind these methods. The course focuses on the analysis of data relevant to life sciences in general and biotechnology and food engineering in particular. However, the methods discussed are common to many other disciplines.
The topics covered are:
1. Introduction and Review in Probability
- Discrete Random Variables
- Continuous Random Variables
- Central Limit Theorem
2. Sample and Estimation
- Descriptive Statistics
- Point Estimation
- Confidence Intervals
3. Hypothesis Testing
- Tests about Means and Variances
- Analysis of Variance (ANOVA)
- Chi-Square Test
4. Linear Regression
- Simple Linear Regression
- Multiple Linear Regression
5. Bayesian Statistics (Optional)
- Bayes’ Theorem
- Prior and Posterior Distributions
- Teacher: מיכאל לוי