Probability Distributions 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…

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

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)…

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…

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…

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

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

Whenever you conduct a t-test, you will get a test statistic as a result. To determine if the results of the t-test…

When you conduct an F test, you will get an F statistic as a result. To determine if the results of the…

The binomial distribution is one of the most commonly used distributions in statistics. It describes the probability of obtaining k successes in…