1947 views

Lec 68 - Correlation and Causality

Correlation and Causality Understanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise)

Video is embedded from external source so embedding is not available.

Video is embedded from external source so download is not available.

Channels: Mathematics

Tags: Correlation and Causality

Uploaded by: ( Send Message ) on 10-09-2012.

Duration: 10m 45s

No content is added to this lecture.

Go to course:

This video is a part of a lecture series from of khan

Lecture list for this course

Lec 1 - Statistics: The Average

Lec 2 - Statistics: Sample vs. Population Mean

Lec 3 - Statistics: Variance of a Population

Lec 4 - Statistics: Sample Variance

Lec 5 - Statistics: Standard Deviation

Lec 6 - Statistics: Alternate Variance Formulas

Lec 7 - Introduction to Random Variables

Lec 8 - Probability Density Functions

Lec 9 - Binomial Distribution 1

Lec 10 - Binomial Distribution 2

Lec 11 - Binomial Distribution 3

Lec 12 - Binomial Distribution 4

Lec 13 - Expected Value: E(X)

Lec 114 - Expected Value of Binomial Distribution

Lec 15 - Poisson Process 1

Lec 16 - Poisson Process 2

Lec 17 - Law of Large Numbers

Lec 18 - Normal Distribution Excel Exercise

Lec 19 - Introduction to the Normal Distribution

Lec 20 - ck12.org Normal Distribution Problems: Qualitative sense of normal distributions

Lec 21 - ck12.org Normal Distribution Problems: z-score

Lec 22 - ck12.org Normal Distribution Problems: Empirical Rule

Lec 23 - ck12.org Exercise: Standard Normal Distribution and the Empirical Rule

LKec 24 - ck12.org: More Empirical Rule and Z-score practice

Lec 25 - Central Limit Theorem

Lec 26 - Sampling Distribution of the Sample Mean

Lec 27 - Sampling Distribution of the Sample Mean 2

Lec 28 - Standard Error of the Mean

Lec 29 - Sampling Distribution Example Problem

Lec 30 - Confidence Interval 1

Lec 31 - Mean and Variance of Bernoulli Distribution Example

Lec 32 - Bernoulli Distribution Mean and Variance Formulas

Lec 33 - Margin of Error 1

Lec 34 - Margin of Error 2

Lec 35 - Confidence Interval Example

Lec 36 - Small Sample Size Confidence Intervals

Lec 37 - Hypothesis Testing and P-values

Lec 38 - One-Tailed and Two-Tailed Tests

Lec 39 - Z-statistics vs. T-statistics

Lec 40 - Type 1 Errors

Lec 41 - Small Sample Hypothesis Test

Lec 42 - T-Statistic Confidence Interval

Lec 43 - Large Sample Proportion Hypothesis Testing

Lec 44 - Variance of Differences of Random Variables

Lec 45 - Difference of Sample Means Distribution

Lec 46 - Confidence Interval of Difference of Means

Lec 47 - Clarification of Confidence Interval of Difference of Means

Lec 48 - Hypothesis Test for Difference of Means

Lec 49 - Comparing Population Proportions 1

Lec 50 - Comparing Population Proportions 2

Lec 51 - Hypothesis Test Comparing Population Proportions

Lec 52 - Squared Error of Regression Line

Lec 53 - Proof (Part 1) Minimizing Squared Error to Regression Line

Lec 54 - Proof (Part 3) Minimizing Squared Error to Regression Line

Lec 55 - Proof (Part 4) Minimizing Squared Error to Regression Line

Lec 56 - Regression Line Example

Lec 57 - Proof Part 2 Minimizing Squared Error to Line

Lec 58 - R-Squared or Coefficient of Determination

Lec 59 - Second Regression Example

Lec 60 - Calculating R-Squared

Lec 61 - Covariance and the Regression Line

Lec 62 - Chi-Square Distribution Introduction

Lec 63 - Pearson's Chi Square Test (Goodness of Fit)

Lec 64 -Contingency Table Chi-Square Test

Lec 65 -ANOVA 1 - Calculating SST (Total Sum of Squares)

Lec 66 -ANOVA 2 - Calculating SSW and SSB (Total Sum of Squares Within and Between).avi

Lec 67 - ANOVA 3 -Hypothesis Test with F-Statistic