This is the life :)

Here are the definitions of the graphs that I will be using for my interpretation of the data: A histogram is “often used in exploratory data analysis to illustrate the major features of the distribution of the data in a convenient form. It divides up the range of possible values in a data set into classes or groups.” It is almost like a bar graph, but instead of categorical data, a histogram displays the frequency of numerical data. The graph on the left is an example of a histogram that I made in my Statistics class earlier this year for a Pi Day Project. We had to determine if the digits of pi could be used as a random number generator. We came to the conclusion that it can indeed be used because the probability of each number occurring is very close to .1 or 10%. For more information about this, you can visit my teacher, Mrs. Blanchet's blog. A box-plot, also known as a box and whisker plot, is a “type of graph which is used to show the shape of the distribution, its central value, and variability. The picture produced consists of the most extreme values in the data set (maximum and minimum values), the lower and upper quartiles, and the median. An ogive is similar to a histogram, but instead of displaying individual frequencies, it displays the cumulative frequencies. And a stem plot is “similar to a histogram but is usually a more informative display for relatively small data sets… It provides a table as well as a picture of the data and from it we can readily write down the data in order of magnitude, which is useful for many statistical procedures… By using a back-to-back stem plot, we are able to compare the same characteristic in two different groups.” I got all of these definitions (except for ogive) from this website.