The statistics
and the sport are strongly linked.
In all the sporting disciplines the stats play a fundamental role in order to
analyze the efficiency of the performances, and they are very useful to
interpret the tactical management and to obtain conclusions. That numerical
information is represented by percentages, comparison, averages, graphics… I am
going to focus on two sports I like especially: football and basketball.
In football,
statistics are concerned to observe both of the individual and collective
performance. For example, from a group perspective, the quantity of passes and
shoots indicate us if a team propose an offensive or defensive playing style,
and we can compare it with the other clubs in order to make comparisons. From an
individual point of view, the number of goals and assists of a player can
induce us to think it is good or bad. For more advance information, the
heatmaps help us to know which the most preferred position of a player is on
the pitch. This image corresponds Messi’s movements on the pitch in a match in
2015.
In basketball
the stats are primordial and more influential than in football: points,
rebounds, assist, blocks, shot percentage, etc. These numbers are taken into
account in naming the MVP of a competition. To give concrete
examples, the best 2-points shooters are usually players who play near the
basket (the tallest players), as well as the rebounds and the blocks are
dominated by them; the best 3-points shooters are often short players. The
table shows us the stats of a team in different disciplines (minutes, points,
rebounds, assists…) of the play.
The most common hobby for Primary children are usualy the
sports; for this reason it is a good idea to use it as a context in order to
motivate them in the learning of mathematics. From my point of view, a useful activity (third cycle) could be the representation of different
statistic information in graphics and finding the average. For example, the
teacher would provide the number of points and rebounds of a player in ten
games. Students would have to add all the points and rebounds to find the
average, and then they would make a dot plot to observe the progression of
their performance in points and rebounds (it would be compulsory to draw a line
for each statistic discipline). To expand the activity, it could ask the best
and the worst performance of the player and analyse them critically, thinking
if the player is improving or getting worse observing the progression.
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