histogram(X) creates a histogram plot of X. The histogram function uses an automatic binning algorithm that returns bins with a uniform width, chosen to cover the range of elements in X and reveal the …

Working with Probability Distributions Probability distributions are theoretical distributions based on assumptions about a source population. The distributions assign probability to the event that a …

plot(pd) plots a probability density function (pdf) of the probability distribution object pd. If pd is created by fitting a probability distribution to the data, the pdf is superimposed over a histogram of the data.

This MATLAB function plots a histogram of values in data using the number of bins equal to the square root of the number of elements in data and fits a normal density function.

Aug 19, 2017 · Hello, I have a dataset containing hundreds of data points representing duration of events. I have plotted a histogram for this data set. I want to calculate probability density for the …

A histogram represents the probability distribution by establishing bins and placing each data value in the appropriate bin. Because of this bin count approach, the histogram produces a discrete …

This MATLAB function creates a normal probability plot comparing the distribution of the data in x to the normal distribution.

The Distribution Fitter app interactively fits probability distributions to data imported from the MATLAB ® workspace. You can choose from 22 built-in probability distributions or create your own custom …

This MATLAB function partitions the X values into bins and returns the bin counts and the bin edges.

Create a normal probability plot of the residuals of a fitted linear regression model. Load the carsmall data set and fit a linear regression model of the mileage as a function of model year, weight, and …