3. Why use a histogram?

A die can produce a 1, a 2, a 3, a 4, a 5 or a 6 without the observer being able to say with any certainty what value it will produce on a throw. By observing the results of $n$ throws of a die, we obtain a sample of $n$ values that the die can produce. This is referred to as a sample size $n$ . The graph containing the random information of interest in this sample is the histogram. When the variable of interest is discrete (the set of values or modalities it can take on, known as the support of the variable, can be counted), the histogram is a graph. – In the case of a throw of the dice, for example,...