BUG: Fix infer_dtype result for float with embedded pd.NA
- [x] closes #61621
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [x] Added an entry in the latest `doc/source/whatsnew/v3.0.0.rst` file if fixing a bug or adding a new feature.

## Description
Fix a bug in :func:`api.types.infer_dtype` returning "mixed-integer-float" for float and ``pd.NA`` mix.

## Cause
This problem occurred because the existing `is_float_array` internally fixed `skipna=False`. It was solved by adding the `skipna` argument.

Is there anything else I can do about this? I would appreciate it if you could review it when you have time. Thanks @heoh! @rhshadrach I could really use this fix. As this is not much of a breaking change, can't we change the milestone to 2.3.2?
I would highly appreciate it. <3