Statistics

Scientific research and Statistics. Variability - Variable. Population and sample. Frequency distributions. Measures of central tendency and dispersion. Introduction to Probability Theory -Probability distributions. Confidence intervals. Statistical hypothesis testing. Analysis of Variance (ANOVA). Covariation and correlation. Examples and Applications in Agricultural Science.

Objectives

Upon completion of this course, students will be able to: 1) Recognize the importance of variation and uncertainty in the world and understand how Statistics can improve decisions when faced with uncertainty. 2) Obtain knowledge of and proficiency with a broad range of statistical concepts and tools useful for statistical applications. 3) Develop critical thinking skills for enabling application of Statistics in Biological sciences.

Prerequisites

Not available

Syllabus

Not available