The five-number summary tells us the minimum, quartile 1, median, quartile 3, and the maximum. All five of these numbers give us a good representation and range of our data set. We are able to see where the numbers fall and if there is a greater amount of numbers closer to one specific range. In this case all of data is pretty equally spread out evenly distributed. When looking at the box plot you are able to see how symmetrical our data is.

We chose this data set because we wanted to pick something no one has ever done before. We all agreed that it was a topic that was pretty much "out there" and random. It is also an interesting topic that none of us have really researched before or have thought about. Lastly we al agreed that we love broccoli.

As the graphs are being made some of the graphs will show the spread of the data where as one of the graphs, such as the pie chart, will not show how much the data is spread.  This chart will only show the percentage of these data points that fall within the smaller ranges.  Throughout the 36 different data entries, our group noticed that the most entered weight of the broccoli was the 359oz.  From this we can come to the conclusion that more times then none; we will find more boxes weighing 359oz.  The range of the data was one that we thought was large than we would have expected being at a 62oz. difference.  The interquartile range was slightly smaller being only 24oz.  This made more sense to us because this meant the boxes were less than a 2-pound difference.