BUG: series.to_numpy does not work well with pd.Float64Dtype
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [x] (optional) I have confirmed this bug exists on the master branch of pandas.

---

**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.

#### Code Sample, a copy-pastable example

```python
import pandas as pd
from scipy.stats import norm

series = pd.Series([2.0, -2.5, pd.NA], dtype=pd.Float64Dtype())
norm.pdf(series)

Traceback (most recent call last):
  File "<input>", line 1, in <module>
  File "C:\Users\XXX\AppData\Local\pypoetry\Cache\virtualenvs\XXX-w19Rd76b-py3.9\lib\site-packages\scipy\stats\_distn_infrastructure.py", line 1837, in pdf
    cond1 = self._support_mask(x, *args) & (scale > 0)
  File "C:\Users\XXX\AppData\Local\pypoetry\Cache\virtualenvs\XXX-w19Rd76b-py3.9\lib\site-packages\scipy\stats\_distn_infrastructure.py", line 964, in _support_mask
    return (a <= x) & (x <= b)
  File "pandas\_libs\missing.pyx", line 360, in pandas._libs.missing.NAType.__bool__
TypeError: boolean value of NA is ambiguous
```

#### Problem description
My issue is about that pandas does not convert a pd.Series with dtype=pd.Float64Dtype() correctly to a numpy array when I try to use the scipy.stats.norm function. Therefore it cannot handle empty values (pd.NA) and the series needs to be cast right now as a float dtype to properly work which is not ideal. It probably has to do with the fact that the method series.to_numpy is called which does not work well with pd.Float64Dtype.

See also [https://github.com/scipy/scipy/issues/13729]

#### Expected Output
array([0.05399097, 0.0175283 ,        nan])

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : f2c8480af2f25efdbd803218b9d87980f416563e
python           : 3.9.1.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
Version          : 10.0.19041
machine          : AMD64
processor        : Intel64 Family 6 Model 79 Stepping 1, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : English_United States.1252
pandas           : 1.2.3
numpy            : 1.20.1
pytz             : 2021.1
dateutil         : 2.8.1
pip              : 21.0.1
setuptools       : 52.0.0
Cython           : None
pytest           : 6.2.2
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.3
IPython          : None
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : 3.0.7
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.6.1
sqlalchemy       : 1.4.2
tables           : None
tabulate         : None
xarray           : None
xlrd             : 1.2.0
xlwt             : None
numba            : None

</details>
