I attempt to answer the age old question what is best for my health using myself as (N=1) experiment. In other words what is better: Sleep or exercise or diet? The output that I wish to measure is “bodyfat percentage”. The main reason I select this aspect to measure is how it strongly correlates to longevity a due to a good profile in lean body mass and linkage to good insulin sensitivity. I the test subject being of moderate bodyfat (male 10-15%) is therefore a perfect candidate to test (since having a 4% bodyfat and losing bodyfat would be considered unhealthy). I am not a medical professional… I just attempt to read the scientific numbers and this report is purely to illustrate the demonstration of using statistics.
Variables: As stated before bodyfat change will be the
measured output. An increase will be
seen as a negative mark against my health and a decrease will be viewed as
positive event. The three measures that
have been recorded is 1) hours of sleep averaged in a month, 2) amount of exercise
I average each day (measured in calories) and, 3) Alcoholic Beverages consumed
in a total month (measured as a unit of 12oz beer, 8oz wine, 1.5oz hard
liquor).
The change in bodyfat
percentage was put on a chart to analyze the validity or the data and the
distribution.
Block number
|
Cell boundaries
|
Frequency
|
1
|
-1.057%
|
3
|
2
|
-0.563%
|
2
|
3
|
-0.070%
|
7
|
4
|
0.424%
|
3
|
5
|
0.918%
|
3
|
6
|
1.412%
|
|
block size
|
0.494%
|
Figure 1 Chart of Changes in Bodyfat Change
Figure 2 Chart of Changes in Bodyfat Change
Figure 2 illustrates a normal
distribution evenly centered about the median of the date. Most of the measurements were in the 3rd
block which represented data of -0.070% to 0.424% change in bodyfat.
Month
Sampled
|
30-day
Sleeping average
|
Estimated
amount of Exercise (Calories)
|
Alcoholic
Beverages
|
Change in
Body Fat
|
Sum
|
143.2
|
6454.3
|
455.3
|
0.0314
|
Standard
deviation
|
0.2
|
84.2
|
11.4
|
0.0071
|
Sample
mean
|
8.0
|
358.6
|
25.3
|
0.0017
|
Median
|
7.9
|
358.3
|
25.0
|
0.0021
|
Coefficient
of Variation
|
2.7
|
23.5
|
45.1
|
407.1271
|
Figure 3 Analysis of Variables and Output
I then graphed the relationship between the variables and
the output and found these conclusions.
Stay tuned for the data...
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