Here, you will be creating a class `CustomData` that can be used to create an instance as follows: DATA = np.random.normal(0, 1, 1000) ``` **Do
Here, you will be creating a class `CustomData` that can be used to create an instance as follows: DATA = np.random.normal(0, 1, 1000)
```
**Do NOT use ANY library or package for this part. Use built-in Python operations only.**
### Tasks 1: Parent Class (25 points)
1. Complete the constructor, which takes in a `data_list` 2. Complete method 1: `calculate_mean` that calculates the unweighted mean or average 3. Complete method 2: `calculate_sd` that calculates [Population Standard Deviation](https://www.khanacademy.org/math/statistics-probability/summarizing-quantitative-data/variance-standard-deviation-sample/a/population-and-sample-standard-deviation-review)
DATA = np.random.normal(0, 1, 1000)
Calcuate the mean of population_data object
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