Following on from a previous post on looking for videos on dementia on YouTube, this week I thought I would have a look at statistics and try to compile something that might be useful. Statistics are obviously important for quantitative research. I have undertaken a search of YouTube using some simple search parameters and included some of the results below. If you feel that some videos have been missed or have other suggestions please include them in the comments or e-mail feedback. I will be developing this post.
Series of Statistics Programs on YouTube
The Khan Academy by Salman Khan has lots of videos on maths including 18 on statistics at the time of writing and there is a useful walk through of the resources on the Khan Academy homepage.
Professor Apicciano produces a number of presentations on statistical methods.
The Bionic Turtle covers a lot of economic/financial topics but has useful overviews of a number of statistical measures including covariance.
Statistical Methods for Quality Improvement covers applied statistics in a number of videos
Excells Fun is a series of videos on how to use Excel by Mike Gel Girvin. At the time of writing he had 792 videos on his channel! Phew. Someone’s been working pretty hard!
General Videos on Statistics
A funny take on how people can misinterpret statistics by Petter Donnelly
A presentation on the history of statistics without sound
In this video, Salman Khan again uses graphical software to clearly illustrate the meaning of random variables (both discrete and continuous) and probability distribution functions.
The Central Tendency/Average
In this video, Salman Khan enthusiastically covers the mean, median and mode using graphical software for the discussion with worked examples.
The Poisson Distribution
In this video Salman Khan covers the Poisson Distribution.
In this video, the narrator Patrick JMT covers the binomial distribution which is the probability distribution that arises from a set of yes/no responses. He works through an example with a flip chart, pen and paper illustrating the concepts very clearly.
In this video, the narrator PatrickJMT uses a flipchart and goes through a worked example clearly showing the reader how to calculate the mean and variance of a set of discrete variables.
In this video, Salman Khan works through the calculation of the variance of a sample from a population at the same time effectively distinguishing between descriptive and inferential statistics.
In this video, Salman Khan uses graphical software to illustrate the discussion with worked examples comparing mean, variance and standard deviation in the process.
The Bionic Turtle looks at covariance and variance
Analysis of Variance (ANOVA)
Professor Picciano narrates a presentation on ANOVA
The Chi Squared Test
Professor Clearly explains the meaning of the Chi Squared Test using chartrunner software to illustrate the examples.
Professor Picciano narrates a presentation on the t-test
A presentation by the Headless Professor on the t-test
A presentation on the t-statistic without narration by Seas of Confusion
Keith Bower presents a history of the student t-test
Keith Bower presents the paired t-test
Keith Bower presents one versus two-sided t-tests
The Bionic Turtle presents an introduction to Linear Regression using statistical software to illustrate the points
A lecture on regression analysis from the Indian Institute on Technology in Madras [56 minutes]
A series of talks by pomscm on regression analysis using a flip chart and a pointer followed by statistics software to illustrate worked examples
Talk on from the IGNOU-SOSS teleconference (44 minutes)
Professor Picciano gives a presentation on meta-analysis outlining the steps in the process
An introduction to some Excel functions
A worked example showing how to perform the chi-squared test in Excel.
R is a free software package available here. There is a series of tutorials by wildscOp here
Here are two presentations which sounded as though they were narrated by a computer-generated voice.
Data Cluster Analysis is illustrated in this video
Principal Components Analysis is illustrated in this video
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