Statistics And Graphs: Difference between revisions

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= Statistical Analysis and Producing Graphs =
Many good resources exist to help you analyze your data.  Here are a few:
==Books==
* "Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].
* [http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Elements of Statistical Learning] (downloadable pdf), recommended by Rossi Luo and Erik Sudderth
* [http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020 Machine Learning: A Probabilistic Perspective], recommended by Erik Sudderth
* [http://www.amazon.com/The-Essence-Multivariate-Thinking-Applications/dp/0805837302/ref=sr_1_fkmr1_1?ie=UTF8&qid=1377805278&sr=8-1-fkmr1&keywords=he+Essence+of+Multivariate+Thinking Essence of Multivariate Thinking], recommended by Stephen Correia
* [http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571/ref=sr_1_1?s=books&ie=UTF8&qid=1377274046&sr=1-1&keywords=tabachnik+and+fidell Using Multivariate Statistics], recommended by Stephen Correia
* [http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738 Pattern Recognition and Machine Learning], recommended by Ryan
* [http://www.math.dartmouth.edu/~prob/prob/prob.pdf Grinstead and Snell's Introduction to Probability] (downloadable pdf), recommended by Ryan


This page demonstrates through some simple examples how to use statistical tools to process your observations and create graphs for papers or presentations.
==Papers==
* [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo
* [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo


Initially, this tutorial will use SAS and gnuplot to create graphs.  We should expand it to demonstrate how to use Matlab and SPSS which are also popular and powerful tools for doing statistics.
==Practicals==
 
* [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW
== Examples ==
* [[Statistics Tutorial]] written by Andrew Forsberg
 
Example 1. You are interested in two visualization methods and want to compare the speed a task is completed with both.  First, setup your experiment and collect your samples which might be of this form:
 
<pre>
technique    time
1            12
2            7
1            13
2            9
1            20
2            10
1            16
2            12
1            13
2            15
1            14
2            6
</pre>
 
[FILL IN...]
 
 
Example 2. You surveyed a population and want to run statistical analysis on the data collected and produce graphs showing the result.
 
[FILL IN...]

Latest revision as of 19:48, 29 August 2013

Many good resources exist to help you analyze your data. Here are a few:

Books

Papers

Practicals

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