API reference for: https://pypi.org/project/stats-tm/
See tutorial and all available classes here

class stats_tm.distribution.NormalDist(mu: float, sigma: float)

Parameters:
• mu (float): mean of the distribution
• sigma (float): standard deviation of the distribution

Attributes:
• mu (float): mean of the distribution
• sigma (float): standard deviation of the distribution

Methods:
• plot_dist():
  Plot the probability distribution for a normal distribution
  Returns:
  plotly.graph_objects.Figure - Plot of the distribution


• calc_pdf(x: float, plot=True):
  Calculate the probability density function for a normal distribution and optionally plot the distribution
  Parameters:
  x (float): value of x
  plot (bool, optional): If True, return a plot of the distribution with probability density function at x highlighted. Defaults to True.
  Returns:
  plotly.graph_objects.Figure or float - Plot of the distribution with probability density function at x highlighted or probability density function at x


• calc_cum_p(x: float, plot=True):
  Calculate the cumulative probability for a normal distribution and optionally plot the distribution
  Parameters:
  x (float): value of x
  plot (bool, optional): If True, return a plot of the distribution with cumulative probability at x highlighted. Defaults to True.
  Returns:
  plotly.graph_objects.Figure or float - Plot of the distribution with cumulative probability at x highlighted or cumulative probability at x