Comprehensively assess if a normal distribution model is appropriate for the sample of data values in C1 ofthis file (for Minitab 19):

Data:

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

1. Create the boxplot.
2. Ratio of "Length of the longer whisker" to "Length of the shorter whisker":
3. Is the median in the middle third of the box?
4. Percentage of data values that are outliers:
5. Percentage of data values within one Standard Deviation of the Mean:
6. Percentage of data values within two Standard Deviations of the Mean:
7. Percentage of data values within three Standard Deviations of the Mean:
8. Ratio of the IQR to the Standard Deviation:
9. The p-value in the Probability Plot:
10. Is a Normal distribution model appropriate for the sample of data values: