Setting `density=True` in `plt.hist` normalizes the bar heights so that the plotted histogram represents an empirical probability density estimate of the simulated total durations, rather than raw counts.
Conditions: Used when the goal is to compare the sample distribution with probability-density scale.; The plotted bars are normalized by bin width and sample size.
Setting `density=True` in `plt.hist` normalizes the bar heights so that the plotted histogram represents an empirical probability density estimate of the simulated total durations, rather than raw counts.
Conditions: Used when the goal is to compare the sample distribution with probability-density scale.; The plotted bars are normalized by bin width and sample size.
The video defines the uniform distribution as a probability distribution that assumes the relative likelihood of all outcomes between a defined minimum and a defined maximum are the same.
Conditions: There must be a defined minimum and maximum.; All outcomes between those bounds are treated as equally likely.
The video defines the uniform distribution as a probability distribution that assumes the relative likelihood of all outcomes between a defined minimum and a defined maximum are the same.
Conditions: There must be a defined minimum and maximum.; All outcomes between those bounds are treated as equally likely.