#91 - Making Statistics Fun for the Masses w/ Josh Starmer (StatQuest)

1

Introduction

00:00 • 2min

2

The Transition From Stats to Machine Learning

02:16 • 4min

3

Do You Need Both Effect Size and Statistical Significance?

06:14 • 3min

4

Pea Hacking and How to Mitigate It

09:04 • 4min

5

Teaching Experiment Design Is Critical

13:13 • 5min

6

What I Love About Statistics?

17:55 • 6min

7

How to Make a Successful Tube?

23:30 • 1min

8

How to Communicate in a More General Way

24:50 • 5min

9

I've Never Taken a Stats Class.

30:03 • 3min

10

The Chain Rule, Is It Really Used?

32:53 • 6min

11

What's the Difference Between a PhD and a PhD?

38:43 • 5min

12

How to Train Yourself in Statistics

43:26 • 4min

13

Is It Really Two?

47:22 • 2min

14

Is the Population Too Big?

48:56 • 3min

15

Is Machine Learning a Quest?

51:31 • 2min

16

Forecasting Is a Cool Field

53:23 • 2min

17

What Are the Limitations of Forecasting?

55:28 • 4min

18

You Can Make a Living Doing That?

59:29 • 2min

19

I've Got a LOT to Talk About, Manesi.

01:01:13 • 3min