Introduction
Essential Features of a Comparative Experiment
Experimental Design Principles
Figure 1
![International Prototype of the Kilogram](fig/International_prototype_of_the_kilogram_aka_Le_Grand_K.png)
Figure 2
![shelves of cages beneath a light](fig/half-racks.png)
Statistics in Data Analysis
Figure 1
![living histogram of female student heights](fig/joiner-living-histogram-heights.png)
Figure 2
![](fig/04-statistical-data-analysis-rendered-unnamed-chunk-2-1.png)
Figure 3
![](fig/04-statistical-data-analysis-rendered-unnamed-chunk-3-1.png)
Figure 4
![](fig/04-statistical-data-analysis-rendered-boxplot-1.png)
Figure 5
![](fig/04-statistical-data-analysis-rendered-unnamed-chunk-9-1.png)
Figure 6
![null hypothesis](fig/Null-hypothesis.png)
Figure 7
![alternative hypothesis](fig/Alternative-hypothesis.png)
Figure 8
Showing this plot is much more informative and easier to interpret than
a long table of numbers. With this histogram we can approximate the
number of individuals in any given interval. For example, there are
approximately 29 individuals (~2.8%) with a resting heart rate greater
than 90, and another 31 individuals (~3%) with a resting heart rate
below 50.
Figure 9
![](fig/04-statistical-data-analysis-rendered-standard_normal_dist-1.png)
Figure 10
![](fig/04-statistical-data-analysis-rendered-sample-of-100-participants-1.png)
Figure 11
![](fig/04-statistical-data-analysis-rendered-qq-plot-1.png)
Figure 12
![](fig/04-statistical-data-analysis-rendered-confidence-interval-95-1.png)
Figure 13
![](fig/04-statistical-data-analysis-rendered-compare-standard-deviation-1.png)
Figure 14
![](fig/04-statistical-data-analysis-rendered-compare-means-standard-deviation-1.png)
Figure 15
Code adapted from Power
Curve in R by Cinni Patel.
Figure 16
Code adapted from How
to Create Power Curves in ggplot by Levi Baguley