Question One The following data represent the time (in minutes) recorded for a sample of 20 employees in order to get to work using public transportation. 28 29 32 37 33 25 29 32 41 34 29 31 33 32 34...


Question One<br>The following data represent the time (in minutes) recorded for a sample of 20<br>employees in order to get to work using public transportation.<br>28<br>29<br>32<br>37<br>33<br>25<br>29<br>32<br>41<br>34<br>29<br>31<br>33<br>32<br>34<br>30<br>31<br>32<br>35<br>33<br>1) Does the sample contain any extreme values? Justify your answer with a<br>suitable test. Comment on the results<br>2) According to your conclusion in part (1), calculate the best central and the<br>best absolute dispersion measure.<br>3) Comment on the results obtained in part (2).<br>

Extracted text: Question One The following data represent the time (in minutes) recorded for a sample of 20 employees in order to get to work using public transportation. 28 29 32 37 33 25 29 32 41 34 29 31 33 32 34 30 31 32 35 33 1) Does the sample contain any extreme values? Justify your answer with a suitable test. Comment on the results 2) According to your conclusion in part (1), calculate the best central and the best absolute dispersion measure. 3) Comment on the results obtained in part (2).
First quartile location = 1/4 (n+1)<br>Third quartile location= 3/4 (n+1)<br>Value of quartile= start + ratio * distance<br>

Extracted text: First quartile location = 1/4 (n+1) Third quartile location= 3/4 (n+1) Value of quartile= start + ratio * distance

Jun 10, 2022
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