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CHAPTER 1
INTRODUCTION TO DATA ANALYSIS
- 1-2.
- One possibility is in Figure 1:
Figure 1:
Stratified plot, Exercise 1-2
![\begin{figure}
\centerline{
\includegraphics
*[height=2.0in,width=6in]{exsol1_2.eps}}
\vspace{2ex}\end{figure}](img1a.gif) |
- 1-4.
- No data are needed. Ideas about what affects the
phenomenon under study are needed.
- 1-6.
- The process is not stationary. Plot of URATE
versus DATE shows this.
- 1-7.
-
Figure 1:
Stratified plot, Exercise 1-2
Scale |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
|
Worn Gears |
|
x |
|
x |
|
|
x |
|
|
x |
|
Mis-calibration |
|
|
x |
x |
|
x |
x |
x |
x |
x |
|
- 1-9.
- a.
- Not stationary. There is a
big drop in 1896. Plot of times versus year.
- b.
- A downward trend in times even after 1896.
- 1-15.
- 1-16.
Month |
1 |
2 |
3 |
4 |
5 |
6 |
|
Moving Average |
5 |
6 |
7.5 |
7 |
7.5 |
10.5 |
|
- 1-26.
-
- a.
- R&R:repeatability and
reproducibility.
Repeatability measures the consistency of the
scale in repeated measurements of this weight by the same operator.
Reproducibility measures the variation between different operators.
- b.
- Stationarity must be checked. Plot each
operator's measurements versus time.
- c.
- Operator 2 has a much larger repeatability
problem than either operator 1 or operator 3.
Operator 2 should be worked with to identify and
eliminate this problem.
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Joseph D Petruccelli
6/16/1998