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YT 11 minutes 33 seconds DTUdk Lec.2A: Intro, density and probability function YT 3 minutes 48 seconds DTUdk Lec.2B: Example: Unfair dice density function in R YT 4 minutes 39 seconds DTUdk Lec.2C: Distribution function

YT 15 minutes 46 seconds DTUdk Lec.2D: Binomial distribution, definition YT 9 minutes 33 seconds DTUdk Lec.2E: Binomial distribution, example YT 9 minutes 49 seconds DTUdk Lec.2F: Hypergeometrical distribution (with example)

YT 11 minutes 46 seconds DTUdk Lec.2G: Poisson distribution (with example) YT 4 minutes 5 seconds DTUdk Lec.2H: Distributions in R YT 11 minutes 1 second DTUdk Lec.2I: Mean and variance for discrete distributions

YT 20 minutes 12 seconds DTUdk Lec 3A: Continuous distributions: density, distribution, mean, variance and covariance YT 7 minutes 8 seconds DTUdk Lec 3B: Uniform distribution and example YT 16 minutes 17 seconds DTUdk Lec 3C: Normal Distribution, definition, Example

YT 6 minutes 23 seconds DTUdk Lec 3D: Normal Distribution, More examples YT 3 minutes 19 seconds DTUdk Lec 3E: The Log-Normal distribution YT 6 minutes 9 seconds DTUdk Lec 3F: Software R, Example: Geniuses in Denmark!

YT 5 minutes 59 seconds DTUdk Lec 3H: Mean And Variance Rules, Simple Example YT 10 minutes 26 seconds DTUdk Lec 3G: The Exponential Distribution With Example YT 11 minutes 53 seconds DTUdk Lec 3I: Example With Airline Passengers

YT 5 minutes 42 seconds DTUdk Lec 4A: Intro example with confidence intervals YT 26 minutes 3 seconds DTUdk Lec 4B: The (sampling) distribution of the sample mean (and the t-distribution) YT 11 minutes 35 seconds DTUdk Lec 4C: The (one-sample) confidence interval for the mean, with example

YT 11 minutes 40 seconds DTUdk Lec 4D: The language of statistics and the formal framework YT 10 minutes 59 seconds DTUdk Lec 4E: The Central Limit Theorem (CLT) YT 7 minutes 43 seconds DTUdk Lec 4F: A formal interpretation of the confidence interval

YT 17 minutes 16 seconds DTUdk Lec 4G: Confidence interval for variance and standard deviation YT 13 minutes 30 seconds DTUdk Lec 5A: Hypothesis Test: A motivating example (sleeping medicin) YT 21 minutes 5 seconds DTUdk Lec 5B: Hypothesis test: One-sample t-test and the p-value

YT 6 minutes 12 seconds DTUdk Lec 5C: Hypothesis test: Critical value and confidence interval YT 8 minutes 17 seconds DTUdk Lec 5D: Hypothesis test with alternatives YT 8 minutes 41 seconds DTUdk Lec 5E: Hypothesis test (the formal procedures)

YT 7 minutes 46 seconds DTUdk Lec 5F: Errors in hypothesis testing YT 12 minutes 5 seconds DTUdk Lec 5G: Planning: Power and sample size YT 9 minutes 40 seconds DTUdk Lec 5H: Checking the normality assumption - the QQ-plot

YT 5 minutes 23 seconds DTUdk Lec 5I: Transforming towards normality YT 5 minutes 22 seconds DTUdk Lecture 6A - Motivating Example YT 10 minutes 42 seconds DTUdk Lecture 6B - Hypothesis Test (Repetition)

YT 23 minutes 6 seconds DTUdk Lecture 6C - Two-sample t-test and p-value YT 11 minutes 44 seconds DTUdk Lecture 6D - The confidence interval for the difference YT 2 minutes 18 seconds DTUdk Lecture 6E - Overlapping confidence intervals?

YT 5 minutes 36 seconds DTUdk Lecture 6F - The Paired Setup YT 11 minutes 53 seconds DTUdk Lecture 6G - Checking The Normality Assumptions YT 2 minutes 49 seconds DTUdk Lecture 6H - The Pooled T-Test

YT 17 minutes 33 seconds DTUdk Lec 7A: Introduction To Simulation YT 13 minutes 22 seconds DTUdk Lec 7B: Simulation Example 1: Area Of Plates, A=XY YT 15 minutes 17 seconds DTUdk Lec 7C: Non-linear error propagation

YT 10 minutes 18 seconds DTUdk Lec 7D: Bootstrapintro, confidence interval for a one-sample mean by parametric bootstrap with examp YT 14 minutes 51 seconds DTUdk Lec 7E: Confidence interval for any one-sample feature by parametric bootstrap with examples. YT 2 minutes 59 seconds DTUdk Lec 7F: Two-sample Confidence intervals by parametric bootstrapping. Comparing means or any other fe

YT 11 minutes 26 seconds DTUdk Lec 7G: Confidence interval for a one-sample mean (or any one-sample feature) by non-parametric boot YT 7 minutes 22 seconds DTUdk Lec 7H Two-sample Confidence intervals by non-parametric bootstrapping. Comparing means or any other YT 11 minutes 25 seconds DTUdk Lec 8A: Motivating example: Height-weight

YT 6 minutes 24 seconds DTUdk Lec 8B: The Linear regression modelx YT 23 minutes 28 seconds DTUdk Lec 8C: The Least Squares Method YT 8 minutes 26 seconds DTUdk Lec 8D: Statistics and linear regression??

YT 7 minutes 51 seconds DTUdk Lec 8E: Hypothesis tests and confidence interval for the intercept and slope YT 11 minutes 52 seconds DTUdk Lec 8G: Correlation (and regression) YT 17 minutes 2 seconds DTUdk Lec 8F: Confidence interval and prediction interval for the line

YT 4 minutes 4 seconds DTUdk Lec 8H: Residual analysis - model control YT 18 minutes 24 seconds DTUdk Lec 9A: MLR, Intro. Recap of simple linear regression. Airquality example YT 9 minutes 37 seconds DTUdk Lec 9B: MLR, Basics. The Multiple Linear Regression model and least squares fit.

YT 17 minutes 1 second DTUdk Lec 9C: MLR, Model selection. Forward and backward model selection. YT 14 minutes 4 seconds DTUdk Lec 9D: MLR, Model validation.Residual plotting for normality check, variance homogeneity and non-li YT 6 minutes 9 seconds DTUdk Lec 9E: MLR, Non-linearity. How to check for and deal with non-linear effects within the linear mode

YT 6 minutes 43 seconds DTUdk Lec 9F: MLR, Confidence and prediction Intervals. How to get Confidence intervals and prediction int YT 22 minutes 31 seconds DTUdk Lec 9G: MLR, Colinearity. The consequence of x-inputs being correlated to each other. YT 12 minutes 32 seconds DTUdk Lec 10A: Oneway Anova, Intro Example.

YT 5 minutes 42 seconds DTUdk Lec 10B: Oneway Anova, Model And Hypothesis. YT 22 minutes 24 seconds DTUdk Lec 10C: Computation: Decomposition Of Variance, Anova Table. YT 8 minutes 2 seconds DTUdk Lec 10D: F-Test, F-Distribution.

YT 5 minutes 30 seconds DTUdk Lec 10E: Oneway Anova, relation to 2-sample t-test. YT 17 minutes 6 seconds DTUdk Lec 10F: Oneway Anova, Post Hoc Comparison, confidence intervals and hypothesis testing. Bonferroni YT 9 minutes 3 seconds DTUdk Lec 10G: Model control in one-way ANOVA. Residual investigation.

YT 11 minutes 41 seconds DTUdk Lec 10H: A worked through ANOVA example. YT 6 minutes 18 seconds DTUdk Lec 11Intro: Røde kort til farvede fodboldsspillere YT 19 minutes 22 seconds DTUdk Lec 11A: Two-way Anova, Intro Examples

YT 7 minutes 33 seconds DTUdk Lec 11B: Two-way Anova, Model and estimates YT 8 minutes 1 second DTUdk Lec 11C: Computation: Decomposition Of Variance YT 10 minutes 47 seconds DTUdk Lec 11D: F-Test, F-Distribution, ANOVA table

YT 9 minutes 57 seconds DTUdk Lec 11E: Two-way Anova, Post Hoc Analysis YT 9 minutes 8 seconds DTUdk Lec 11F: Model control in two-way ANOVA. Residual investigation. YT 22 minutes 31 seconds DTUdk Lec 11G: A worked through example of two-way ANOVA

YT 7 minutes 51 seconds DTUdk Lec 12A: Intro To Proportions (Polls, risk of malformation of newborns, etc) YT 16 minutes 43 seconds DTUdk Lec 12B: Confidence Interval For One Proportion YT 8 minutes 50 seconds DTUdk Lec 12C: Sample Size Determination

YT 10 minutes 43 seconds DTUdk Lec 12D: Hypothesis Test For One Proportion, Including Example YT 2 minutes 51 seconds DTUdk Lec 12D(2): Result of socrative poll YT 8 minutes 3 seconds DTUdk Lec 12E: Hypothesis Test and CI for Two Proportions

YT 15 minutes 17 seconds DTUdk Lec 12F: The Chi-Square test: Hypothesis Test For Two And Several Proportions YT 10 minutes 6 seconds DTUdk Lec 12G: Analysis Of Contingency Tables YT 10 minutes 27 seconds DTUdk Lec 12H: Proportions and Chi-Square tests in R

YT 18 minutes 1 second DTUdk Lec 13A: Course overview, Part1 YT 18 minutes 10 seconds DTUdk Lec 13B: Course overview, Part2 YT 16 minutes 31 seconds DTUdk Lec 13C: Course overview, Part3

YT 5 minutes 10 seconds DTUdk Lec 13D: Single slide method overview YT 2 minutes 43 seconds DTUdk Lec 13E: Perspective - other statistics courses YT 25 minutes 22 seconds DTUdk Lec 13F: Exam discussion - and a few examples