9.7. Sampling and Bootstrap Distributions of Parameters

9.7.1. Animated and Interactive Examples of Sampling Distributions

9.7.1.1. Sampling Distribution for Uniform \([0,10]\) Random Variable

U= stats.uniform(0,10, )
sampling_dist(U, 'Uniform $[0,10]$')

Once Loop Reflect

9.7.1.2. Sampling Distribution for Exponential (\(\lambda=1/5\)) Random Variable

E=stats.expon(scale=5)
sampling_dist(E, 'Exponential $\lambda=1/5$')

Once Loop Reflect

9.7.1.3. Sampling Distribution For Chi-Squared Random Variable with 6 Degrees of Freedom

C=stats.chi2(df=6 )
sampling_dist(C, "Chi-Sq dof=6")

Once Loop Reflect

9.7.1.4. Sampling Distribution for Binomial Random Variable with 100 Trials and Probability of Success 0.2

B = stats.binom(100, 0.2)
sampling_dist(B, "Binomial $(100,0.2)$")

Once Loop Reflect