STAT 3743, Recorded Lectures

 

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- Do not print lecture notes from computer lab, Cushwa 1062.

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Week 1:

 Recorded Lectures

 Lecture Notes

 

·         Basic Terms, Summary Tables & Graphs [1:26:52]

Introduction, Statistical Charts & Tables

 

·         Bivariate Analysis & Others [30:26]

·         (Optional) Histogram Example - Image Processing [9:11]

 

Week 2:

 

 

 

·         Descriptive Measures [44:57]

Descriptive Measures

 

·         More on Measure of Center/Spread Boxplot [43:34]

 

 

 

 

Week 3:

 

 

 

·         Basic Probability Concepts [48:30]

Intro. to Probability

 

·         Properties of Probability [52:47]

 

·         Methods of Enumeration [44:03]

 

Week 4:

 

 

 

·         Conditional Probability [44:40]

 

 

 

 

 

o   Review Problems & Answers [47:35] (No Audio)

 *Review Problems

 

o   Answers to Exam & Conditional Probability [45:43]

 *Practice Test

Week 5:

 

 

 

·         Bayes Theorem [44:10]

Discrete Distribution-1

 

·         Discrete Random Variable [45:36]

Discrete Distribution-2

 

·         Mathematical Expection [48:02]

 

Week 6:

 

 

 

·         Mean and Variance of Discrete Random Variable [44:27]

 

 

·         Bernoulli and Binomial Distribution [44:21]

 

 

·         Moment Generating Function [55:39]

 

Week 7:

 

 

 

o   Review Exercise & Answers

*Review Exercise

 

 

 

 

·         Negative Binomial, Geometric, and Poisson Distribution [45:04]

 

 

·         Independent Events / Discrete Distributions [39:35]

 

Week 8:

 

 

 

·         Continuous Distributions [41:18]

Continuous Distribution

 

·         Examples and Continuous Distributions [46:50]

 

·         Uniform, Exponential and Gamma Distributions [43:41]

 

Week 9:

 

 

 

·         Inverse CDF Method and Random Number Generation [17:13]

 

 

·         Normal Distribution 1 [18:53]

Normal Distribution

 

·         Normal Distribution 2 [46:20]

 

 

·         Probability Distribution of Sample Statistics [43:44]

 

Week 10:

 

 Estimations 

 

·         Sampling Distribution of Mean and Normal Approximation to Binomial Distribution [18:41]

 

 

·         Introduction to Confidence Interval Estimation [26:04]

  - One Mean

 

·         Confidence Interval for a mean (z) [46:56]

 

 

·         Confidence Interval Estimate for a mean(t)/Confidence Interval for a Proportion [47:33]

 

Week 11:

 

 

 

·         Confidence Interval Estimate for Difference Between Two Means [43:44]

 - Two Means

 

·         Confidence Interval for Mean of Paired Difference [12:09]

 

 

 

 

 

o   Solutions in Video to Practice Problems [42:50]

*Practice Problems [PDF Document]

Week 12:

 

 

 

·         Confidence Interval Estimation for Variances [44:07]

- Variances

 

 

 

 

 

Hypothesis Tests

 

·         Test for Proportion [14:49]

·         Test for Difference between Two Proportions [29:35]

- Test for proportions

 

 

 

 

Week 13:

 

 

 

·         One Sample Z-test for a Mean 1 [32:12]

·         One Sample Z-test for a Mean 2 [17:18]

·         One Sample t-test [27:09]  A Very Important Test

·         Effect Of Sample Size in t-test [6:39]

 - Test for one mean

 

Z and t test example

 

·         Determining Sample Size for t-test for One Mean [5:15]

-   t-test sample size

(long version)

 

 

·         Review Problems on Hypo. Testing [42:24]

*Review problems

 

 

  

 

·         Tests of Difference Between Two Means [47:01]

(Test of Equality of Variances is in this video)

 

 

  - Test for two means

 

More Examples on Statistical Inference. [2:51:49]

(Note2)

 

Week 14:

 

 

 

·         Linear Regression and Correlation 1 [40:26]

·         Linear Regression 2 [44:33]

Regression

 

·         Goodness of Fit Test/Chi-square test of Independence [44:51]

- Goodness of Fit

- Contingency Table

 

 

 

 

 

 

Week 15:

Review