I found an article about March Madness that deals with statistics. Listed throughout this article are a few different ways that statistics are used or should be used while filling out a March Madness bracket.
The first concept is averages/percentages. To find the average of how many points a player averages per game, you take the points made divided by the total number of games a player has played. Let’s say a player from Kansas has a high scoring percentage, someone might pick Kansas to win because this player has such a high scoring average that he might be able to carry the team or contribute a lot to the win. So for this article, Mike Daum scores 25.1 points a game based off of the graph. Percentages were also shown through a bar graph. …show more content…
This article used a side by side column graph to compare history of each team that wins the first round (win percentage) and how often people pick that team to win (selection percentage). This graph shows that seeds eleven through fourteen have a higher win percentage compared to selection percentage. This is because people don’t usually pick the higher seeds to beat a one through five seed. There are always upsets, so that is something to take into consideration. Also mentioned above was a bar graph that showed percentages of field goal shots and three pointers.
The fourth concept is time series data. Time series data is data collected over a period of time. Time series data was shown in this article using the column graph to show data from previous March Madness tournaments. The article used previous data on teams that won the first round and compared it to how many people pick that team to actually win in the first round.
I think statistics is something that everyone uses quite often, but doesn’t realize it. I know when filling out my brackets I never really think of the statistical part of it, I just pick teams based off of other reasons. If someone were to go off of these statistical ways to fill out a bracket, I think they would have a pretty good chance of having close to a perfect bracket besides some of the upset
The first concept is averages/percentages. To find the average of how many points a player averages per game, you take the points made divided by the total number of games a player has played. Let’s say a player from Kansas has a high scoring percentage, someone might pick Kansas to win because this player has such a high scoring average that he might be able to carry the team or contribute a lot to the win. So for this article, Mike Daum scores 25.1 points a game based off of the graph. Percentages were also shown through a bar graph. …show more content…
This article used a side by side column graph to compare history of each team that wins the first round (win percentage) and how often people pick that team to win (selection percentage). This graph shows that seeds eleven through fourteen have a higher win percentage compared to selection percentage. This is because people don’t usually pick the higher seeds to beat a one through five seed. There are always upsets, so that is something to take into consideration. Also mentioned above was a bar graph that showed percentages of field goal shots and three pointers.
The fourth concept is time series data. Time series data is data collected over a period of time. Time series data was shown in this article using the column graph to show data from previous March Madness tournaments. The article used previous data on teams that won the first round and compared it to how many people pick that team to actually win in the first round.
I think statistics is something that everyone uses quite often, but doesn’t realize it. I know when filling out my brackets I never really think of the statistical part of it, I just pick teams based off of other reasons. If someone were to go off of these statistical ways to fill out a bracket, I think they would have a pretty good chance of having close to a perfect bracket besides some of the upset