Question
Assume you are a data scientist working for the Victoria Police. According to the report from the accident investigation department, Mitsubishi EVO X seems to
Assume you are a data scientist working for the Victoria Police. According to the report from the accident investigation department, Mitsubishi EVO X seems to have more accidents than the other vehicles and they want to know some extra information about it. You have a dataset of the number of accidents related to Mitsubishi EVO X reported weekly. The dataset is as follows.
| Time period| Vehicle model| Number of reported cases|
| :------------- | :----------: | -----------: |
|Week 1 2021 | Mitsubishi EVO X| 9|
|Week 2 2021 | Mitsubishi EVO X| 9|
|Week 3 2021 | Mitsubishi EVO X|7|
|Week 4 2021 | Mitsubishi EVO X| 12|
|Week 5 2021 | Mitsubishi EVO X| 8|
|Week 6 2021 | Mitsubishi EVO X| 11|
|Week 7 2021 | Mitsubishi EVO X| 8|
|Week 8 2021 | Mitsubishi EVO X| 8|
We take X as the time interval between two accidents in the following calculation.
Based on this dataset, now it is your duty to find out
1. PDF(X)
2. CDF(X)
3. E(X)
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