1.
Exploratory Data Analysis
1.4. EDA Case Studies 1.4.2. Case Studies 1.4.2.1. Normal Random Numbers


Goal 
The goal of this analysis is threefold:


4Plot of Data  
Interpretation 
The assumptions are addressed by the graphics shown above:
From the above plots, we conclude that the underlying assumptions are valid and the data follow approximately a normal distribution. Therefore, the confidence interval form given previously is appropriate for quantifying the uncertainty of the population mean. The numerical values for this model are given in the Quantitative Output and Interpretation section. 

Individual Plots  Although it is usually not necessary, the plots can be generated individually to give more detail.  
Run Sequence Plot  
Lag Plot  
Histogram (with overlaid Normal PDF)  
Normal Probability Plot 