a. Find the error values for each of the histogram data points.

b. Fit the data to a Gaussian distribution and uniform background.

x_values = [65, 70, 75, 80, 85, 90, 95, 100, 105, 110, 115, 120, 125, 130, 135, 140] counts = [23, 18, 22, 19, 17, 20, 25, 38, 41, 42, 32, 26, 18, 20, 21, 24] pit. histogram(x_values, counts) plt . show( ) 40 35 30 25 20 70 80 90 100 110 120 130 140