Exploratory Data Analysis
1.4. EDA Case Studies
1.4.2. Case Studies
220.127.116.11. Filter Transmittance
The goal of this analysis is threefold:
|4-Plot of Data
The assumptions are addressed by the graphics shown above:
Simple graphical techniques can be quite effective in revealing unexpected results in the data. When this occurs, it is important to investigate whether the unexpected result is due to problems in the experiment and data collection or is indicative of unexpected underlying structure in the data. This determination cannot be made on the basis of statistics alone. The role of the graphical and statistical analysis is to detect problems or unexpected results in the data. Resolving the issues requires the knowledge of the scientist or engineer.
|Although it is generally unnecessary, the plots can be generated individually to give more detail. Since the lag plot indicates significant non-randomness, we omit the distributional plots.
|Run Sequence Plot