http://learntech.uwe.ac.uk/da/Default.aspx?pageid=1438

The above link summarizes "A study of the effect of caffeine on muscle metabolism". You will attempt to reproduce their results in both KNIME and IPython notebook.

You will have to perform the following steps in both KNIME and in IPython notebook

1. Transfer 'Placebo vs. Caffeine' data table to .csv format (hint, copy and paste into text editor or spreadsheet (may need minor formatting))

2. Calculate simple stats (mean, min, max, std)

3. Produce Histograms both of the placebo and Caffeine groups.

bonus Overlay both Histograms on the same plot.

4. Perform an independent samples t-test between the Placebo and Caffeine groups.

5. Do the results agree with the results on the linked webpage (http://learntech.uwe.ac.uk/da/Default.aspx?pageid=1438)??

6. What is a normal distribution?

7. Research how to calculate confidence intervals of a mean value assuming a normal distribution using Python and R (should be able to do it in 1 line of code). Show the line of code in each language and talk about how they are the same and different.

7.5 Calculate the confidence interval of the mean of the Placebo Group and the Caffeine Group

(hint: look at notebooks/Statistics/NormalDistribution.ipynb)

8. What does the example notebook notebooks/Statistics/NormalDistribution do??

9. How does changing the standard deviation (std) defined in block 2 affect the histogram and the confidence interval??

use ipython