07:42
Using BoxShade
19:27
Using ConSurf
21:05
The change in Mann Whitney calculations
02:03
Yates Continuity Correction in SPSS
11:33
Why do we need statistics
04:47
Why We Use Non parametric Tests
09:02
z tests
03:35
When to use Parametric Tests
07:26
Visualising Quantitative Data
25:18
Using SPSS with Enzyme Kinetics Data
08:23
Variability
23:16
Using PyMol
09:34
Two Way ANOVA
08:31
Type I and Type II Errors
09:43
Using Excel with Enzyme Kinetics Data
04:44
Two Way Tables
03:14
Two Way Tables in SPSS Gender and Favourite Colour
02:42
Two Way Tables in Excel Using a Pivot Table
14:14
Two Way ANOVA in SPSS
14:41
Transformed Regression in SPSS
04:32
Transformed Data Regression
06:37
Thinking about the Potato Osmosis Experiment
06:09
The Good the Bad and the Ugly
05:12
Test Statistics and p values1
09:08
Survey methods
09:47
Summary Statistics
08:14
Summarising the Captopril data with Confidence Intervals in SPSS
01:42
Summarising Frequencies of Categorical Variables in SPSS
07:52
Summarising data correctly with standard errors and confidence intervals
09:17
Summarising Categorical Data
13:58
Stoats Island Evolution
08:17
Small Sample Confidence Intervals
11:53
Scientific Questions
08:31
Scientific Method
02:20
Scatterplot Egg Hardness
04:47
Regression Theory
03:46
Regression Quality Control in SPSS
07:11
Regression Diagnostics
17:01
Power
02:04
QQPlots
09:21
Potato Osmosis Data in SPSS
09:24
Populations and Samples
07:02
Parametric Correlations
03:39
Paired t tests
06:39
Paired t tests in SPSS
04:34
Paired t test Captopril
03:56
Outliers in the Absorbance Data
07:58
Osmosis Data Paired t tests and Curve Fitting
11:29
One Way ANOVA in SPSS1
03:18
One Sided and Two Sided Tests
05:54
Normality Tests
04:46
Non-parametric Correlations
03:14
Non normal data medians and quartiles
05:13
Next Strain and Evolutionary Rate in SARS CoV 2
04:11
Multiple Testing
05:11
Multiple Sampling
10:41
Multiple Events
12:17
Missing Values Accuracy and Precision
06:59
Models
14:31
Mega Tutorial
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About
This is a channel about data handling and statistical analysis.
It is called the accidental statistician because I ended up teaching and working in data handling and statistics completely by accident. This is also the title of an article by Sir David Cox about his career in statistics. I am never going to try and emulate him or his ability. I did have the honour of being in the same department for a while, even in his 80s he was still eager to learn more (he wanted to come to my classes on bioinformatics and systems biology). He was an amazing person and one of the genuine greats.
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