Links to other web pages; |
Boxplot program page (you can accept the default parameters offered on the first screen, they are just about how big the plot will be, also notice that the plot can be horizontal) http://ebook.stat.ucla.edu/calculators/boxplot.phtml
More info on data types http://davidmlane.com/hyperstat/intro.html
Histogram maker page (you can accept the default parameters offered on the first screen, they are about how big the plot will be but also about the "bin size", you can change this later to make the plot look better, which is an excellent way of finding out what it means!) http://ebook.stat.ucla.edu/calculators/histogram.phtml
Scatter diagram (be sure to read the instructions!) http://seamonkey.ed.asu.edu/~behrens/2dplotter.html
An explanation and example calculator for the Median (this and the next few are from the Arizona State University - the server may be busy at times.) http://research.ed.asu.edu/siip/compute.std/median.html
An explanation and example calculator for the Mean
http://research.ed.asu.edu/siip/compute.std/mean.html
An explanation and example calculator for the Quartiles (note the slight
difference in nomenclature from using Q1 & Q3 rather than Q1 &
Q2)
http://research.ed.asu.edu/siip/compute.std/quartiles.html
An explanation and example calculator for the Standard Deviation (note
that there are two slightly different calculations for this statistic,
this calculator uses the simpler method, for large sample sizes they give
practically the same answer)
http://research.ed.asu.edu/siip/compute.std/stddev.html
A combination of the above, descriptive statistics is at, http://br109.math.tntech.edu/stats/stats.html but it doesn’t cover the method of calculation in the same way.
The Normal Distribution http://www.ruf.rice.edu/~lane/hyperstat/A15211.html
or http://davidmlane.com/hyperstat/A15211.html
see also http://www.stattucino.com/berrie/dsl/index.html
T-test http://home.clara.net/sisa/t-test.htm (if you try this for a two-sample t-test as in the green book multiply p-value by 2 for double sided testing e.g. prob-t: 0.007791, 0.007791*2 = 0.015582 = .016 to 2 decimal places.)
Mann-Whitney test (Sometimes called the two-sample Wilcoxon rank sum test.Don’t confuse this with the one-sample Wilcoxon signed-rank test used in task 7 of the green book.) – a rather technical page. http://www.marketminer.com/prophet/statguide/rank_sum.html
More on Mann-Whitney http://www.texasoft.com/winkmann.html
Correlation & regression with scatter plot – but a bit complex http://home.stat.ucla.edu/calculators/correlation.phtml