Course info

Course Description

Meaning of statistics; Methods of data collection; Methods of data presentation; Measures of location; Measures of variation; Measures of shape; Random experiment and counting techniques; Concepts of Probability; Random variable; Probability distributions (Binomial, Poisson, Normal, t and Chi-square); Sampling design and methods; Basic concepts of inference (Estimation and Hypothesis testing) on the population mean and proportion; Simple Linear regression and correlation analysis.

Objectives

• To introduce the students to the fundamental topics in probability and statistics.
• To introduce students the basic statistical knowledge on data collection and presentation methods, Measures of central tendency and variation, probability and probability distributions, one sample inference, and regression and correlation analysis.
• To enable students, apply the methods of statistics in scientific research, decision making and future career.
• To enable students to communicate the results of their analyses in clear non-technical language.

Learning Outcomes

At the end of the course students are expected to:

• Will be able to understand the fundamental concept of probability and statistics.
• Have a broad knowledge and understanding of basic statistical techniques demonstrated through principles of data collection, descriptive statistics, probability and probability distributions, one population statistical inference, simple linear regression and correlation analysis, experimental design.
• Understand the methods of data collection, organization, presentation, analysis and interpretation.
• Know the basics and application of random variable, probability distribution, probability density function, expected value and variance of random variable.
• Understand the framework of hypothesis testing for carrying out statistical inference.
• Have basic skills in exploratory data analysis, and be able to present their results correctly and in non-technical language;