Statistics and Data Analysis

Explore fundamental concepts in statistics and data analysis through this comprehensive tutorial presented by Ethan Meyers from Hampshire College at the MIT BMM Summer Course 2018. Delve into topics such as distributions, data types, data visualization techniques including box plots and joy plots, statistical concepts, correlation, regression, sampling distributions, confidence intervals, bootstrap methods, and hypothesis testing. Learn about point estimates, interval estimates, random assignment, and the differences between hypothesis testing and significance testing. Gain practical insights into error analysis and examine real-world examples to reinforce your understanding of statistical principles and their applications in data analysis.

Introduction
Motivation
Distributions
Types of Data
Visualizing Data
Box Plots
Joy Plots
Joy Plot
What is a statistic
What is a parameter
Correlation
Statistical Inference
Point Estimates
Regression
Sampling Distribution
Interval Estimates
Confidence Intervals
Bootstrap
Hypothesis Testing
Visual Hypothesis Testing
Random Assignment
Hypothesis Testing vs Significant Testing
Errors
Example