Statistics
Data
Collection
Data analysis
This course on statistics offers a comprehensive exploration of fundamental concepts and techniques essential for analyzing and interpreting data. We begin with an introduction to statistics, defining key terms and understanding its broad scope, which encompasses both descriptive and inferential methods. The course covers the classification of data, including qualitative and quantitative types, and details the various methods for data collection. We will explore how to systematically present data through tables, and utilize diagrammatic and graphical representations, such as charts and graphs, to visualize and communicate data effectively. Students will also learn about different types of frequency curves and their applications in understanding data distributions. Additionally, the course will address the limitations of statistical methods, emphasizing the importance of data quality and careful interpretation. By the end of the course, students will gain practical skills in statistical analysis, enabling them to draw meaningful conclusions and make informed decisions based on data.
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Mrs. S. Mahalakshmi, M.Sc., M.Phil., B.Ed., SET Assistant Professor of Statistics (Specialization in Mathematics). I am working as an Assistant Professor of Statistics with an academic background in Mathematics. I hold M.Sc. and M.Phil. degrees in Mathematics, a B.Ed., and have qualified the State Eligibility Test (SET). My teaching interests include Probability Theory, Operations Research, Statistical Methods, Algebra, Real Analysis, and Complex Analysis. I am passionate about guiding students, connecting mathematical theory with statistical applications, and encouraging them to build strong analytical and problem-solving skills.
