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    Lec 7 - Introduction to Random Variables

    Introduction to Random Variables Introduction to random variables and probability distribution functions.

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    Channels: Mathematics

    Tags: Introduction to Random Variables

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

    Duration: 12m 4s

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    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 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

    Lec 68 - Correlation and Causality