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Probability Distributions in Python

How to Plot a Chi-Square Distribution in Python

To plot a Chi-Square distribution in Python, you can use the following syntax: #x-axis ranges from 0 to 20 with .001 steps x = np.arange(0, 20,...

How to Plot a Normal Distribution in Python (With Examples)

To plot a normal distribution in Python, you can use the following syntax: #x-axis ranges from -3 and 3 with .001 steps x = np.arange(-3, 3,...

How to Generate a Normal Distribution in Python (With Examples)

You can quickly generate a normal distribution in Python by using the numpy.random.normal() function, which uses the following syntax: numpy.random.normal(loc=0.0, scale=1.0, size=None) where: loc: Mean of the...

How to Find a P-Value from a Z-Score in Python

Often in statistics we’re interested in determining the p-value associated with a certain z-score that results from a hypothesis test. If this p-value is...

How to Find a P-Value from a t-Score in Python

Often in statistics we’re interested in determining the p-value associated with a certain t-score that results from a hypothesis test. If this p-value is...

How to Find the Chi-Square Critical Value in Python

When you conduct a Chi-Square test, you will get a test statistic as a result. To determine if the results of the Chi-Square test...

How to Find the Z Critical Value in Python

Whenever you conduct a hypothesis test, you will get a test statistic as a result. To determine if the results of the hypothesis test are...

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