Question

construct the histrogram of the probability distribution in number 2
please help me​

Answer 1

Step-by-step explanation:

The previous section has hopefully convinced you that variation in a process is inevitable. This section aims to show how we can visualize and quantify any variability in a recorded vector of data.

A histogram is a summary of the variation in a measured variable. It shows the number of samples that occur in a category: this is called a frequency distribution. For example: number of children born, categorized against their birth gender: male or female.

fake width

The raw data in the above example was a vector that consisted of 2739 text entries, with 1420 of them as Male and 1319 of them as Female. In this case Female and Male represent the two categories.

Histograms make sense for categorical variables, but a histogram can also be derived from a continuous variable. Here is an example showing the mass of cartons of 1 kg of flour. The continuous variable, mass, is divided into equal-size bins that cover the range of the available data. Notice how the packaging system has to overfill each carton so that the vast majority of packages weigh over 1 kg (what is the average package mass?). If the variability in the packaging system could be reduced - the spread of the data made narrower - then the histogram can be shifted to the left, thereby reducing overfill.