IntervalIndex.symmetric_difference doesn't handle a non-IntervalIndex correctly
#### Code Sample, a copy-pastable example if possible

```python
In [2]: idx1 = pd.IntervalIndex.from_breaks(range(5))
   ...: idx1
   ...:
Out[2]:
IntervalIndex([(0, 1], (1, 2], (2, 3], (3, 4]]
              closed='right',
              dtype='interval[int64]')

In [3]: idx2 = pd.Index([2, 3])
   ...: idx2
   ...:
Out[3]: Int64Index([2, 3], dtype='int64')

In [4]: idx1.symmetric_difference(idx2)
Out[4]:
IntervalIndex([(0, 1], (3, 4]]
              closed='right',
              dtype='interval[int64]')
```

Seems to be working properly between two `IntervalIndex`:
```python
In [5]: idx1[:-1].symmetric_difference(idx1[1:])
Out[5]:
IntervalIndex([(0, 1], (3, 4]]
              closed='right',
              dtype='interval[int64]')
```
#### Problem description
Set ops between an `IntervalIndex` and non-`IntervalIndex` should raise.

Seems to be caused by a typo:
https://github.com/pandas-dev/pandas/blob/412988ed972a929203b2e867c8fdc7fcb0e7d312/pandas/core/indexes/interval.py#L1167

Using the typo version raises:
```python
In [6]: idx1.symmetric_differnce(idx2)
---------------------------------------------------------------------------
ValueError: can only do set operations between two IntervalIndex objects that are closed on the same side
```
The typo version also seems to have better perf:
```python
In [11]: idx3 = pd.IntervalIndex.from_breaks(range(10**5))

In [12]: %timeit idx3[:-1].symmetric_difference(idx3[1:])
1.25 s ± 23.8 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)

In [13]: %timeit idx3[:-1].symmetric_differnce(idx3[1:])
153 ms ± 6.54 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
```
#### Output of ``pd.show_versions()``

<details>
INSTALLED VERSIONS
------------------
commit: 412988ed972a929203b2e867c8fdc7fcb0e7d312
python: 3.6.1.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None

pandas: 0.22.0.dev0+213.g412988e
pytest: 3.1.2
pip: 9.0.1
setuptools: 27.2.0
Cython: 0.25.2
numpy: 1.13.1
scipy: 0.19.1
pyarrow: 0.6.0
xarray: 0.9.6
IPython: 6.1.0
sphinx: 1.5.6
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2017.2
blosc: None
bottleneck: None
tables: 3.4.2
numexpr: 2.6.2
feather: 0.4.0
matplotlib: 2.0.2
openpyxl: 2.4.8
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 0.9.8
lxml: 3.8.0
bs4: None
html5lib: 0.999
sqlalchemy: 1.1.13
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
fastparquet: 0.1.0
pandas_gbq: None
pandas_datareader: None

</details>
