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 two report completion-time arrays are generated using the `np.random.uniform` function. Report A is modeled by drawing `sims` independent values from a uniform distribution on the interval from 1 to 5 hours, and Report B is modeled by drawing `sims` independent values from a uniform distribution on the interval from 2 to 6 hours.
Conditions: Use the uniform model introduced earlier.; `sims` must already be defined.
The two report completion-time arrays are generated using the `np.random.uniform` function. Report A is modeled by drawing `sims` independent values from a uniform distribution on the interval from 1 to 5 hours, and Report B is modeled by drawing `sims` independent values from a uniform distribution on the interval from 2 to 6 hours.
Conditions: Use the uniform model introduced earlier.; `sims` must already be defined.
The video computes the total time to complete both reports by performing an elementwise addition of the two simulated completion-time arrays. The total time is simply their summation, represented in code as `duration = A+B`.
Conditions: A and B must be arrays of the same length.; Addition is performed entrywise across matched simulation runs.
The video computes the total time to complete both reports by performing an elementwise addition of the two simulated completion-time arrays. The total time is simply their summation, represented in code as `duration = A+B`.
Conditions: A and B must be arrays of the same length.; Addition is performed entrywise across matched simulation runs.
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.