1) Based on the new data, will the data distribution be the same as initially claimed by the analyst? 2) In your opinion, does the data provides a good fit to the distribution. Justify your answer.

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Due to COVID-19, the quantity of local parcel deliveries by ADIX courier service has increased over the months. The company's data analyst claims that the current trend of the number of waiting days for local deliveries follows Poisson distribution 2 days. To verify the claim, he collects new data on the number of local parcel deliveries by the courier for the latest six weeks. The data collected and its associated Poisson probability are shown in Table 3.

1) Based on the new data, will the data distribution be the same as initially claimed by the analyst?

2) In your opinion, does the data provides a good fit to the distribution. Justify your answer.

Number of waiting day
1
2
3
4 5
Number of deliveries
650
3300
3100
1700
850
400
Probability
0.1353 | 0.2707 | 0.2707 | 0.1804 | 0.0902 0.0527
Transcribed Image Text:Number of waiting day 1 2 3 4 5 Number of deliveries 650 3300 3100 1700 850 400 Probability 0.1353 | 0.2707 | 0.2707 | 0.1804 | 0.0902 0.0527
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