The Python program utilizes Pandas and SciPy to calculate the sample standard deviation for a chosen column in the NBA2019 dataset, providing a rounded result.
Below is the corrected and completed Python program:
```python
import pandas as pd
import scipy.stats as st
# Load the NBA2019 dataset from the CSV file
NBA2019_df = pd.read_csv('NBA2019.csv')
# Input desired column. Ex: AGE, 2P%, or PointsPerGame.
chosen_column = input('Enter the column name: ')
# Create a subset of NBA2019_df based on the chosen column.
NBA2019_df_column = NBA2019_df[chosen_column]
# Find standard deviation and round to two decimal places.
sample_s = st.tstd(NBA2019_df_column)
sample_s_rounded = round(sample_s, 2)
# Output
print(f'The standard deviation for {chosen_column} is: {sample_s_rounded}')
```
This program prompts the user to enter the desired column name, extracts the corresponding column from the NBA2019 dataset, calculates the sample standard deviation using `scipy.stats.tstd()`, and then prints the result rounded to two decimal places.