without library (Numpy...,)

Part A (Descriptive Statistics using basic python) *You should not have any imports in the code #prepare the dataset; Try it out with different data sizes and values input_data = [1, 6, 7, 12, 8, g, 2, 2, 3, 4, 5, 3, le] # print the data print("input data: Xn", input_data) # write code to find out the descriptive statistics be done by student # print the output here rint print( print( 'I.Count:' print('2.Mean: mean) print( '3. Median: ' 4.Mode: ' , mode) print( 'S. Range: count median) range) print('6.min:, min) , max) variance) print( '9. Variance: ' print( 10.Standard Deviation: ' , stddev) Part A (Descriptive Statistics using basic python) *You should not have any imports in the code #prepare the dataset; Try it out with different data sizes and values input_data = [1, 6, 7, 12, 8, g, 2, 2, 3, 4, 5, 3, le] # print the data print("input data: Xn", input_data) # write code to find out the descriptive statistics be done by student # print the output here rint print( print( 'I.Count:' print('2.Mean: mean) print( '3. Median: ' 4.Mode: ' , mode) print( 'S. Range: count median) range) print('6.min:, min) , max) variance) print( '9. Variance: ' print( 10.Standard Deviation: ' , stddev)