Biometry - Αgricultural Εxperimentation

Basic introduction to agricultural experimentation. Introduction to Statistics. Descriptive Statistics. Theoretical probability distributions. Sampling distributions. Measures of dispersion. Estimation. Statistical Inference. Statistical significance tests. Hypothesis testing. Simple linear regression. Demonstrate use of statistical packages.

Objectives

The course offers basic knowledge about designing and making an experiment, and the statistical analysis of data that will occur as a result of carrying out the experiment. Upon successful completion of the course students will be able to: Apply standard statistical methods for the statistical analysis of data. Interpret the results of statistical analysis and draw the appropriate conclusions. Present the results of statistical analysis in a way that is understood by the scientific community.

Prerequisites

Basic mathematics.

Syllabus

Introduction to Statistics. Descriptive Statistics, Theoretical probability distributions (Binomial distribution , Poisson distribution, Normal distribution, T-student distribution), Sampling distributions, Dispersion measures, Estimation, Statistical Inference, Hypothesis Testing, Simple linear regression.