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1
Introduction
2
Motivation
3
Distributions
4
Types of Data
5
Visualizing Data
6
Box Plots
7
Joy Plots
8
Joy Plot
9
What is a statistic
10
What is a parameter
11
Correlation
12
Statistical Inference
13
Point Estimates
14
Regression
15
Sampling Distribution
16
Interval Estimates
17
Confidence Intervals
18
Bootstrap
19
Hypothesis Testing
20
Visual Hypothesis Testing
21
Random Assignment
22
Hypothesis Testing vs Significant Testing
23
Errors
24
Example
Description:
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.

Statistics and Data Analysis

MITCBMM
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