## Import the data, and calculate the mean and the standard deviation - Import the dataset 'weight-height.csv' as a pandas dataframe. - Next, calculate the mean and standard deviation for weights and ...

Create a function named calculate() in mean_var_std.py that uses Numpy to output the mean, variance, standard deviation, max, min, and sum of the rows, columns, and elements in a 3 x 3 matrix.. The ...

To do this, we generate the normal curve that has the same mean and standard deviation as our observed residual and plot it on top of our residual. We use a Python trick to assign two values at once: ...