Comprehensively assess if a normal distribution model is appropriate for the sample of data values in C1
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Question:
Comprehensively assess if a normal distribution model is appropriate for the sample of data values in C1 of this file (for Minitab 19):
1.1459665523740028 |
1.446921550769925 |
1.1463133154643699 |
1.9855137777570828 |
2.45148536077509 |
1.9559077317355835 |
2.4846127022419493 |
2.493330274925058 |
0.9053314351132624 |
3.9569316206467224 |
1.9035758073073352 |
1.7778356952621612 |
2.8057544639112333 |
1.9350735245059898 |
1.2686819529531184 |
1.6883601456216262 |
1.6496312239410025 |
2.5773458100664492 |
1.7200519322477206 |
1.438640927129988 |
- Create the boxplot.
- Ratio of “Length of the longer whisker” to “Length of the shorter whisker":
- Is the median in the middle third of the box?
- Percentage of data values that are outliers:
- Percentage of data values within one Standard Deviation of the Mean:
- Percentage of data values within two Standard Deviations of the Mean:
- Percentage of data values within three Standard Deviations of the Mean:
- Ratio of the IQR to the Standard Deviation:
- The p-value in the Probability Plot:
- Is a Normal distribution model appropriate for the sample of data values:
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