Fred Carofano - ViDoe

Finding Critical Value (z*)

14:19

Finding Critical Value (z*)

Matched Pairs Design

21:56

Matched Pairs Design

Correlation v Cause

14:50

Correlation v Cause

Margin of Error

18:58

Margin of Error

Blocking Experiments

17:23

Blocking Experiments

Diminishing Returns

12:55

Diminishing Returns

One Prop Z Int on Calc

13:40

One Prop Z Int on Calc

Conditions for Sampling Distributions

23:10

Conditions for Sampling Distributions

Blinding and Confounding Variables

22:25

Blinding and Confounding Variables

What is a confidence interval? How does it connect to sample size?

11:52

What is a confidence interval? How does it connect to sample size?

BIAS

23:16

BIAS

Creating Probability Models

24:16

Creating Probability Models

Probability and Independence

26:25

Probability and Independence

Conditional and Trees

25:20

Conditional and Trees

Probability with Venn Diagrams

13:37

Probability with Venn Diagrams

Calculating Probabilities Without Replacement

25:06

Calculating Probabilities Without Replacement

Probability Notation

10:27

Probability Notation

Independent and Disjoint Events

17:46

Independent and Disjoint Events

Probability Vocab and Concepts!

16:01

Probability Vocab and Concepts!

Measures of Spread

18:24

Measures of Spread

Calculate Normal Percentiles: Normalcdf

18:56

Calculate Normal Percentiles: Normalcdf

Applying the Empirical (68/95/99.7) Rule

12:39

Applying the Empirical (68/95/99.7) Rule

Shifting and Rescaling Data

25:51

Shifting and Rescaling Data

What are percentiles? What does IQR measure?

12:22

What are percentiles? What does IQR measure?

What is standard deviation?

14:29

What is standard deviation?

Comparing Distributions (Histograms)

31:01

Comparing Distributions (Histograms)

Describing the Shape of a Distribution

20:32

Describing the Shape of a Distribution

Dotplots and Stemplots

19:29

Dotplots and Stemplots

Intro to Data Displays + Frequency Tables

20:48

Intro to Data Displays + Frequency Tables

Describe the Distribution -- Shape, Outliers

21:26

Describe the Distribution -- Shape, Outliers