Added terms and probability-distributions folders and file

[SaraVegaKeene]

Description

Issue Solved

Type of Change

• Adding a new entry Term for Existing Concept Entry

Checklist

• All writings are my own.
• My entry follows the Codecademy Docs style guide.
• My changes generate no new warnings.
• I have performed a self-review of my own writing and code.
• I have checked my entry and corrected any misspellings.
• I have made corresponding changes to the documentation if needed.
• I have confirmed my changes are not being pushed from my forked main branch.
• I have confirmed that I'm pushing from a new branch named after the changes I'm making.
• I have linked any issues that are relevant to this PR in the Issues Solved section.

[CLAassistant]

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1 out of 2 committers have signed the CLA.

✅ PragatiVerma18
❌ SaraVKeene
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[PragatiVerma18]

Hey @SaraVegaKeene, thanks for contributing to docs, please go through the comments and do the required changes. Let me know if you need any help or have any questions.

Also, please sign the CLA agreement or else we won't be able to merge this PR.

[PragatiVerma18]

These are not valid catalog content resources, please refer to catalog-content.md for reference.

Suggested change

	- 'docs/content/scipy/concepts/scipy-stats/terms/probability-distributions/probability-distributions.md'
	- 'Python:SciPy'
	- 'learn-data-science'
	- 'paths/data-science-foundations'

[PragatiVerma18]

The title should be the same as the file name but not with the extension. It should also be in the title case.

Suggested change

	Title: 'probability-distributions.md'
	Title: 'Probability Distribution'

[PragatiVerma18]

The description should be the definition of the concept being explained.

Suggested change

	Description: 'This entry provides an introduction to probability distributions, their syntax, and an example using SciPy.'
	Description: 'Probability Distribution is a function that describes the likelihood of different outcomes for a random variable.'

[PragatiVerma18]

Please format the text according to the style-guide.md.

Suggested change

The element of surprise. **Probability distributions** describe how the structure of random variables are allocated. In the context of SciPy, the scipy.stats module provides various functions for working with different probability distributions that deliver consistent information such as Cumulative Distribution Functions (CDF), Probability Density Functions (PDF), and other statistical metrics.They convey the probabilities of various outcomes, and are fundamental to statistics and data analysis;.

**Probability distribution** describes how the values of random variables are distributed. In the context of [SciPy](https://www.codecademy.com/resources/docs/scipy), the `scipy.stats` module provides various functions for working with different probability distributions, offering consistent information such as **Cumulative Distribution Functions (CDF)**, **Probability Density Functions (PDF)**, and other statistical metrics. These distributions convey the probabilities of various outcomes and are fundamental to statistics and data analysis.

[PragatiVerma18]

The file name should be singular - probability-distribution.md. Please fix that.

[PragatiVerma18]

This should be wrapped in code syntax. Add suitable code comments for better understanding.

Suggested change

	from scipy.stats import distribution_name
	rv = distribution_name(parameters)
	cdf_value = rv.cdf(x)
	pdf_value = rv.pdf(x)
	pmf_value = rv.pmf(x)
	mean_value = rv.mean()
	variance_value = rv.var()
	```pseudo
	from scipy.stats import distribution_name
	# Create a random variable object for the distribution
	rv = distribution_name(parameters)
	# Compute the CDF (Cumulative Distribution Function) at x
	cdf_value = rv.cdf(x)
	# Compute the PDF (Probability Density Function) at x (for continuous distributions)
	pdf_value = rv.pdf(x)
	# Compute the PMF (Probability Mass Function) at x (for discrete distributions)
	pmf_value = rv.pmf(x)
	# Compute the mean of the distribution
	mean_value = rv.mean()
	# Compute the variance of the distribution
	variance_value = rv.var()

[PragatiVerma18]

Similar to above comment, add code comments and wrap in code syntax. Also include output and brief explanation for the code.

Suggested change

	from scipy.stats import norm
	rv = norm(loc=0, scale=1)
	cdf_value = rv.cdf(1)
	pdf_value = rv.pdf(1)
	mean_value = rv.mean()
	variance_value = rv.var()
	print("CDF at x=1:", cdf_value)
	print("PDF at x=1:", pdf_value)
	print("Mean of the distribution:", mean_value)
	print("Variance of the distribution:", variance_value)
	```py
	from scipy.stats import norm
	# Create a normal distribution with mean 0 and standard deviation 1
	rv = norm(loc=0, scale=1)
	# Compute the CDF (Cumulative Distribution Function) at x = 1
	cdf_value = rv.cdf(1) # The probability that a value from the distribution is <= 1
	# Compute the PDF (Probability Density Function) at x = 1
	pdf_value = rv.pdf(1) # The likelihood (height of the curve) at x = 1
	# Compute the mean of the distribution
	mean_value = rv.mean() # The expected value (center) of the distribution
	# Compute the variance of the distribution
	variance_value = rv.var() # The measure of spread of the distribution
	# Output the results
	print("CDF at x=1:", cdf_value)
	print("PDF at x=1:", pdf_value)
	print("Mean of the distribution:", mean_value)
	print("Variance of the distribution:", variance_value)

The output of the above code will be as follows:

CDF at x=1: 0.8413447460685429
PDF at x=1: 0.24197072451914337
Mean of the distribution: 0.0
Variance of the distribution: 1.0

[PragatiVerma18]

It should just be Example as heading.

Suggested change

	## Example: Normal distribution using SciPy
	## Example