{"id":17560,"date":"2024-04-15T05:14:58","date_gmt":"2024-04-15T05:14:58","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=17560"},"modified":"2024-04-15T05:14:58","modified_gmt":"2024-04-15T05:14:58","slug":"what-can-be-represented-by-using-histograms-or-empirical-frequency-distributions-a-words-b-color-c-texture-d-both-color-texture","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/what-can-be-represented-by-using-histograms-or-empirical-frequency-distributions-a-words-b-color-c-texture-d-both-color-texture\/","title":{"rendered":"What can be represented by using histograms or empirical frequency distributions? A. Words B. Color C. Texture D. Both Color & Texture"},"content":{"rendered":"

[amp_mcq option1=”Words” option2=”Color” option3=”Texture” option4=”Both Color & Texture” correct=”option2″]<\/p>\n

The correct answer is: Both Color & Texture.<\/p>\n

A histogram is a graphical representation of the distribution of data. It is an estimate of the probability distribution of a continuous variable (quantitative variable) and was first introduced by Karl Pearson. Histograms are simple to understand and can be created quickly. They are often used to compare the distribution of data between two or more groups.<\/p>\n

An empirical frequency distribution is a table that shows the frequency of each value in a data set. The frequency is the number of times each value occurs in the data set. Empirical frequency distributions can be used to visualize the distribution of data and to identify patterns in the data.<\/p>\n

Both color and texture can be represented by using histograms or empirical frequency distributions. For example, a histogram could be used to show the distribution of colors in a photograph, or an empirical frequency distribution could be used to show the distribution of textures in a piece of fabric.<\/p>\n

Here are some examples of how histograms and empirical frequency distributions can be used to represent color and texture:<\/p>\n