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Using the computer, obtain plots of beta pdfs for \(\alpha=1,5,10\) and \(\beta=\) \(1,2,5,10,20 .\)

Short Answer

Expert verified
Python programming language along with the libraries 'scipy', 'numpy' and 'matplotlib' can be used to generate and plot the Beta pdf for given values of alpha and beta.

Step by step solution

01

Import Required Libraries

Import the required libraries in your working environment. For this specific task, you would need the 'matplotlib' library for creating the plots, 'numpy' library to create number list in a definite range and 'scipy' library to use the beta function. In python, it would look like this: 'import matplotlib.pyplot as plt', 'import numpy as np', 'from scipy.stats import beta'.
02

Define the x-axis range

Create an array of numbers between 0 and 1 with any small interval. This array will serve as the x-axis values for the pdf plots. You can use the 'numpy' library function 'np.linspace()' to easily create this array. For example: 'x = np.linspace(0, 1, 1000)'.
03

Define the Alpha and Beta Values

Set the values of alpha and beta for which you are required to plot the Beta pdf. Here, alpha and beta values are: 'alphas = [1,5,10]' and 'betas = [1,2,5,10,20]'.
04

Generate and Plot the Beta pdf

For each combination of alpha and beta, generate the Beta pdf and plot it. This can be done using a loop structure. Use the 'beta' function from the 'scipy' library to generate the pdf. Then use 'matplotlib' library function to plot the pdf. For example: 'for a in alphas: for b in betas: y = beta.pdf(x, a, b) plt.plot(x, y) plt.show()' This will generate and show individual plots of Beta pdf for each combination of alpha and beta.

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