The Business Statistics course in the M.Com Semester 1 at Delhi University provides students with essential statistical tools and techniques for analyzing data and making informed business decisions. The curriculum emphasizes the practical application of statistical methods in various business scenarios, enabling students to interpret data effectively and enhance their analytical skills.

Key Topics Covered:

1. Introduction to Statistics:

   • Importance and scope of statistics in business.
   • Types of statistics: Descriptive and inferential.

2. Data Collection and Presentation:

   • Techniques for collecting data: Surveys and experiments.
   • Methods of presenting data: Tables, charts, and graphs.

3. Descriptive Statistics:

   • Measures of central tendency (mean, median, mode).
   • Measures of dispersion (range, variance, standard deviation).

4. Probability Theory:

   • Basic concepts of probability and its applications.
   • Common probability distributions: Binomial, normal, and Poisson.

5. Inferential Statistics:

   • Sampling methods and estimation techniques.
   • Hypothesis testing fundamentals and decision-making processes.

6. Regression and Correlation Analysis:

   • Understanding relationships between variables using correlation.
   • Simple and multiple regression analysis for predictive modeling.

7. Statistical Software Applications:

   • Introduction to software tools (e.g., Excel, SPSS) for data analysis.

8. Real-World Applications:

   • Case studies and projects involving practical data analysis in business contexts.

Learning Outcomes:

Students will gain the ability to apply statistical methods to business problems, interpret data accurately, and utilize statistical software effectively, preparing them for analytical roles in various business fields.

This course serves as a foundational pillar for advanced studies in business analytics, finance, marketing, and research methodologies.