Computer Oriented Statistical Methods
Master data analysis with computational statistics
About The Subject
Learn statistical analysis with computational tools
Overview
Computer Oriented Statistical Methods (COSM) focuses on applying statistical techniques and methods using computers. It combines the principles of statistics with computational tools to analyze, interpret, and visualize data efficiently. This subject helps in making data-driven decisions using programming and software-based analysis.
Data Analysis
Gathering raw data and organizing it into meaningful categories for statistical analysis and interpretation.
Central Tendency
Statistical measures like mean, median, and mode used to find the central value of datasets.
Dispersion
Techniques such as range, variance, and standard deviation that show how data is spread.
Correlation & Regression
Methods to identify relationships between variables and predict outcomes based on existing data patterns.
Probability
Study of random events and probability models like binomial, Poisson, and normal distribution.
Computational Tools
Application of programming languages like Python, R, or tools to perform statistical calculations and visualization.
Faculty Information
Meet your course instructor
Dr. HASHMI
Professor
Syllabus
Complete course curriculum and topics
Study Materials
Download notes and reference materials
Click to download the complete COSM notes (PDF, ~3.5MB)
Important Questions & Answers
Previous year questions with detailed solutions
