Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - PDF and CDF

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - PDF and CDF

Assessment

Interactive Video

Computers

11th Grade - University

Hard

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The video tutorial explains how to calculate and plot the Probability Density Function (PDF) and Cumulative Distribution Function (CDF) for the standard normal distribution using Python's scipy and numpy libraries. It covers importing necessary modules, generating X values, and plotting the results. The tutorial also demonstrates calculating the log PDF and highlights the similarities in function arguments across different distributions.

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5 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of importing the 'norm' submodule from scipy.stats?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How do you calculate the PDF for a standard normal distribution using scipy?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What parameters are used in the norm.pdf function for the normal distribution?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain how to plot the CDF of the standard normal distribution using matplotlib.

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the log PDF in the context of normal distribution?

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