❮ Statistic MethodsExampleGet your own Python Server Calculate the median (middle value) of the given data: # Import statistics Library import statistics # Calculate middle values print(statistics.median([1, 3
❮ Statistic MethodsExampleGet your own Python Server Calculate the median of grouped continuous data: # Import statistics Library import statistics # Calculate the median of grouped continuous dataprint(statistics.median_grouped([1, 2, 3, 4]))print(statistics.median_grouped([1, 2, 3, 4, 5...
Note: If data has less than two values, it returns a StatisticsError. Technical DetailsReturn Value: A float value, representing the standard deviation of the given data Python Version: 3.4❮ Statistic MethodsTrack your progress - it's free! Log in Sign Up ...
❮ Statistic MethodsExampleGet your own Python Server Calculate the high median (middle value) of the given data: # Import statistics Library import statistics # Calculate the high middle values print(statistics.median_high([1, 3, 5, 7, 9, 11, 13])) print(statistics.median_high([1, 3...
Parameter ValuesParameterDescription data Required. The data values to be used (can be any sequence, list or iterator) xbar Optional. The mean of the given data (can also be a second moment around a point that is not the mean). If omitted (or set to None), the mean is automatically ...
❮ Statistic MethodsExampleGet your own Python Server Calculate the harmonic mean of the given data: # Import statistics Library import statistics # Calculate harmonic mean print(statistics.harmonic_mean([40, 60, 80])) print(statistics.harmonic_mean([10, 30, 50, 70, 90])) Try it Yourself...