Welcome to my Statistics and Probability project repository. This project encompasses various fundamental topics in statistics and probability. Each folder contains relevant materials, including Excel files and raw data sheets, which can be viewed directly on GitHub.
This folder includes materials related to the concept of confidence intervals, which are used to estimate the range within which a population parameter lies based on a sample statistic.
- Confidence Level
- Margin of Error
- Calculation of Confidence Intervals for different distributions
This folder covers descriptive statistics, which summarize and describe the main features of a dataset.
- Measures of Central Tendency
- Measures of Dispersion
- Data Visualization Techniques
This folder contains resources on hypothesis testing, a method used to make inferences or draw conclusions about a population based on sample data.
- Null and Alternative Hypotheses
- Type I and Type II Errors
- p-Values and Significance Levels
- Various Statistical Tests (t-test, chi-square test, etc.)
This folder focuses on regression analysis, a statistical technique used to model and analyze relationships between variables.
- Simple Linear Regression
- Multiple Regression
- Interpretation of Regression Coefficients
- Model Assumptions and Diagnostics
Each folder contains an Excel file with detailed calculations and analyses. The raw data files are saved separately in CSV format for easy access and review on GitHub. You can explore these files to understand the methodologies and applications of various statistical techniques.
Enjoy exploring the world of statistics and probability! If you have any questions or feedback, please don't hesitate to reach out.