The content in this presentation is based on the overview of Statistics

Overview of Statistics, definition, importance, types of data, statistical methods

1. Statistics Overview

2. Introduction This presentation covers the basics of statistics with focus on its two main divisions: T heoretical statistics A pplied statistics.

3. Definition and Importance Statistics is the method of decision making in the face of uncertainty on the basis of numerical data and calculated risks. It plays a crucial role in decision making, research, and data science by providing tools to understand and summarize data . ~Prof. Ya - Lun -Chou

4. Types of Data Data can be qualitative (categorical) or quantitative (numerical). Understanding data types is essential for choosing appropriate statistical methods and drawing valid conclusions.

5. Divisions of Statistics

6. Theoretical Statistics: Concepts and Framework Theoretical statistics develops mathematical foundations and proofs behind statistical methods. It focuses on probability theory, estimation, hypothesis testing, and statistical inference principles.

7. Applied Statistics: Practical Uses and Applications Applied statistics involves using statistical techniques to solve real-world problems in fields like healthcare, marketing, economics, and engineering. It emphasizes data analysis and interpretation.

8. Key Statistical Methods: Descriptive and Inferential Techniques Descriptive methods summarize data characteristics, while inferential methods make predictions or decisions about populations based on samples, using tests like t-tests, regression, and confidence intervals.

9. Conclusions Understanding both theoretical and applied statistics is critical for effective data analysis. Mastery of statistical methods equips students to contribute to various scientific and professional domains confidently.

10. THANK YOU