Some code to get you started.

```
import numpy as np
N = 1001
x = np.random.normal(size=N)
True + 1 # a hint
```

`## 2`

- Write equivalent code using vectorization.

```
total = 0
for n in range(N):
total = total - x[n]
```

- Explain, using new statistics words, what the following code is doing.

`(x > 1).mean()`

`## 0.14385614385614387`