Dienstag, 25. August 2009

Six Sigma for Weight Loss #45

My first measurement under 90 kg. - Wow!
 
DMAIC phases: Measure, Control.
 
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Six Sigma for Weight Loss #44

You don't need a cake.
 
DMAIC phase: Improve.
 
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Six Sigma for Weight Loss #43

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Samstag, 22. August 2009

Six Sigma for Weight Loss #43

DMAIC phases: All.
 
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Six Sigma for Weight Loss #42

Short respite from Nordic Walking.
 
DMAIC phase: Improve.
 
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Mittwoch, 19. August 2009

Six Sigma for Weight Loss #41

SIPOC diagram.
 
DMAIC phase: Define
 
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Sonntag, 16. August 2009

Six Sigma for Weight Loss #38

Trend chart for my BMI (Body Mass Index) measurement.
 
DMAIC phases: Measure, Control.
 
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Freitag, 7. August 2009

Six Sigma for Weight Loss #35

<<...>>
Weight loss (Y) with Normally distributed data.

Minitab's Normality Test produces a probability plot with a summary of the data statistics and a p-value for the Anderson Darling Normality Test. With my actual data from weight measurement this probability plot shows a relatively straight line. This indicates that the data may be Normally distributed. The p-value of 0.167 is above 0.05, which fits to the plot of Normally distribution.

DMAIC phase: Measure.

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Montag, 3. August 2009

Six Sigma for Weight Loss #34

<<...>>
Calories burned (X2.02) from my iBody measurement. See also: #30, #20, #9, #8, #7 and #6.

DMAIC phase: Measure.

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Samstag, 1. August 2009

Six Sigma for Weight Loss #32

<<...>>
Calories burned (X2.01) from my pedometer measurement.

DMAIC phase: Measure.

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Six Sigma for Weight Loss #31

<<...>>

Moving Range Chart.

I use moving range (MR) charts to assess whether process variation is in control when my data are individual measurements. The MR chart from historical weight data, "base" and "weight loss" phases, consists of:

· Plotted points for the moving range, which is the absolute value of the difference between two consecutive points.
· Center line (green), which is the average of all the moving ranges.
· Control limits (red), which are located above and below the center line and provide a visual display for the amount of variation expected in the moving ranges.

The MR chart for the weight data (Y) can be summarized as follows:

· The lower and upper control limits are 0 and 1811 g, respectively. Therefore, the moving ranges are expected to fall between 0 and 1811 g. The center line is 554 g.

· None of the individual observations fall outside the control limits. Furthermore, the points inside the limits display a random pattern. This MR chart does not provide any evidence for lack of control. Thus, the process variation is in control.

· The phases "base" and "weight loss" do not show any significant differences.

 

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