Laboratory works on Elements of Mathematical Statistics course

R file that looks at standard error, confidence intervals, and t-tests in a data set.

Analyse efficacy of your own methods for calculating confidence interval

A repository with my DataCamp Python project practice.

Review of bootstrap principles and coverage analysis of bootstrap confidence intervals for common estimators

Plotting of the Confidence interval and Prediction interval for a Linear Regression model.

In this we have coded in python to get the regression equation and find the confidence interval and prediction interval.

Basic Statistics-01 Solution for Questions on Basic statistics

Use the isthissignif python package to test whether or not your OLS regression model is "statistically significant" based on different criteria.

Assignments Basic Stats 1

This repository contains my Inferential Statistics project completed during my university course. It includes the dataset, R code, and detailed analysis showcasing the comparison of climbing route grades for men and women. The project highlights my skills in data visualization, statistical analysis, and hypothesis testing.

rstudio based examples created for an introductory statistics class

Working with real-world data to estimate confidence intervals of quantiles, using Bootstrap.

In this repository, UAV pitch angle is fitted using linear regression and Kalman Filter. It is apart of Assignment1&2 in Sensing, Perception and Actuation course for ROCV master's program at Innopolis University.

Supplementary slides for DSCI 501 on probability & basic statistics

This repository contains a A/B testing for a fictional company Globox where I analyzed the results and provided recommendations to the stakeholders about whether Globox should launch a new experience to all their users.

This is the repository for the RMediation package.

Project 3 of CISC 820 Quantitative Foundations - Confidence Interval