In this course subject, it is expected that students should understand different methods of data collection and suitability of using those methods for a given situation using the concepts of probability and statistics. The Course Learning Outcomes (CLOs) are met by discussing thoroughly the relationships of statistics and probability, probability distributions of random variables, estimation techniques and hypothesis testing, etc. At the end of the course, students should be able to apply the statistical methods discussed in data analysis and be able to design experiments involving several factors.

Statistics is the science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data. It is used in almost all fields of human endeavor. Statistics is used to analyze the results of surveys and as a tool in scientific research to make decisions based on controlled experiments. Other uses of statistics include operations research, quality control, estimation, and prediction.

Data can be used in different ways. It is divided into two main areas:

1.Descriptive statistics - It consists of the collection, organization, summarization, and presentation of data.

2. Inferential statistics - It consists of generalizing from samples to populations, performing estimations and hypothesis tests, determining relationships among variables, and making predictions.