EVERYDAY SCIENCE

Detailed explanation-1: -The first method that almost everyone knows is the histogram. The histogram is a data visualization that shows the distribution of a variable. It gives us the frequency of occurrence per value in the dataset, which is what distributions are about.

Detailed explanation-2: -Histograms can be useful for identifying a highly asymmetric distribution, but they don’t tend to be as useful for identifying normality specifically (versus other symmetric distributions) unless the sample size is relatively large.

Detailed explanation-3: -Q-Q Plot. The most common graphical tool for assessing normality is the Q-Q plot. In these plots, the observed data is plotted against the expected quantiles of a normal distribution. It takes practice to read these plots.

Detailed explanation-4: -A histogram can be used to determine whether data is normally distributed. This test consists of looking at the histogram and discerning whether it approximates the bell curve shape of a normal distribution. Example 1: Determine whether the data in column B of Figure 1 are normally distributed using a histogram.

Detailed explanation-5: -The histogram is a popular graphing tool. It is used to summarize discrete or continuous data that are measured on an interval scale. It is often used to illustrate the major features of the distribution of the data in a convenient form.