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
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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