# Statistics

#### Covers how to collect, analyse, interpret, present and organise data. Created by Khan Academy.

15 hours

Intermediate

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1: Statistics: The Average
2: Statistics: Sample vs. Population Mean
3: Statistics: Variance of a Population
4: Statistics: Sample Variance
5: Statistics: Standard Deviation
6: Statistics: Alternate Variance Formulas
7: Introduction to Random Variables
8: Probability Density Functions
9: Binomial Distribution 1
10: Binomial Distribution 2
11: Binomial Distribution 3
12: Binomial Distribution 4
13: Expected Value: E(X)
14: Expected Value of Binomial Distribution
15: Poisson Process 1
16: Poisson Process 2
17: Law of Large Numbers
18: Normal Distribution Excel Exercise
19: Introduction to the Normal Distribution
20: ck12.org Normal Distribution Problems: Qualitative sense of normal distributions
21: ck12.org Normal Distribution Problems: z-score
22: ck12.org Normal Distribution Problems: Empirical Rule
23: ck12.org Exercise: Standard Normal Distribution and the Empirical Rule
24: ck12.org: More Empirical Rule and Z-score practice
25: Central Limit Theorem
26: Sampling Distribution of the Sample Mean
27: Sampling Distribution of the Sample Mean 2
28: Standard Error of the Mean
29: Sampling Distribution Example Problem
30: Confidence Interval 1
31: Mean and Variance of Bernoulli Distribution Example
32: Bernoulli Distribution Mean and Variance Formulas
33: Margin of Error 1
34: Margin of Error 2
35: Confidence Interval Example
36: Small Sample Size Confidence Intervals
37: Hypothesis Testing and P-values
38: One-Tailed and Two-Tailed Tests
39: Z-statistics vs. T-statistics
40: Type 1 Errors
41: Small Sample Hypothesis Test
42: T-Statistic Confidence Interval
43: Large Sample Proportion Hypothesis Testing
44: Variance of Differences of Random Variables
45: Difference of Sample Means Distribution
46: Confidence Interval of Difference of Means
47: Clarification of Confidence Interval of Difference of Means
48: Hypothesis Test for Difference of Means
49: Comparing Population Proportions 1
50: Comparing Population Proportions 2
51: Hypothesis Test Comparing Population Proportions
52: Squared Error of Regression Line
53: Proof (Part 1) Minimizing Squared Error to Regression Line
54: Proof (Part 3) Minimizing Squared Error to Regression Line
55: Proof (Part 4) Minimizing Squared Error to Regression Line
56: Regression Line Example
57: Proof Part 2 Minimizing Squared Error to Line
58: R-Squared or Coefficient of Determination
59: Second Regression Example
60: Calculating R-Squared
61: Covariance and the Regression Line
62: Chi-Square Distribution Introduction
63: Pearson's Chi Square Test (Goodness of Fit)
64: Contingency Table Chi-Square Test
65: ANOVA 1 - Calculating SST (Total Sum of Squares)
66: ANOVA 2 - Calculating SSW and SSB (Total Sum of Squares Within and Between).avi
67: ANOVA 3 -Hypothesis Test with F-Statistic
68: Correlation and Causality