Descriptive Statistics (1 Mark Questions)

1. In case of sum() function, to find the sum of each row we have to give argument:
• iaxis="rows"
• axis=0
• axis=1
• rows="True"


2. To find the column wise 50% quantile of a DataFrame df, which of the following should be used:
• df.quantile(quartile='0.5')
• df.quartile(quantile='0.5')
• df.quantile(q='0.5')
• df.quartile(q='0.5')


3. The 4-quantile is called:
• median
• percentiles
• tertiles
• quartiles


4. Write the Output of the following:

   import pandas as pd
   s=pd.Series([1,2,3,4])
   s.quantile()
   



5. Fill in the blanks as per the three given options:
   skipna is a parameter in descriptive statistics when used with min() function _______________ NA/null values when computing the result.
   (i) include (ii) exclude (iii) does nothing with
6. Consider the following python code and write the output for statement S1:

   import pandas as pd
   K=pd.series([2,4,6,8,10,12,14])
   K.quantile([0.50,0.75]) ---------------------- S1