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The Python statistics module provides a quick way to get statistics. Here is the Python code.
import statistics dataList1 = [ 0, 42, 43, 47, 65, 43, 7, 0, 43, 43, 59, 44, 47, 20, 35, 35, 55, 37, 63, 40, 59, 47, 44, 50, 47, 28, 45, 29, 9, 29, 30, 62, 21, 53, 45, 23, 47, 15, 26, 27, 27, 60, 33, 34, 31 ] dataLen1 = len(dataList1) mean1 = statistics.mean(dataList1) median1 = statistics.median(dataList1) mode1 = statistics.mode(dataList1) stdev1 = statistics.stdev(dataList1) print("Data summary:") print("") print("\t{0:d} (data points)".format(dataLen1)) print("") print("\t{0:3.2f} (mean)".format(mean1)) print("\t{0:3.2f} (median)".format(median1)) print("\t{0:3.2f} (mode)".format(mode1)) print("\t{0:3.2f} (standard deviation)".format(stdev1))

Note that the Python mode function returns an error if there is not a unique mode. This case does not appear in this data and is not handled here. Here is the output of the Python code.
Data summary: 45 (data points) 37.53 (mean) 42.00 (median) 47.00 (mode) 16.18 (standard deviation)