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| Heartwell, 2015 |
This week, our class discussed Data Management and Probability. Data management can be described as collecting and describing data, in ways that it can be displayed and analyzed in order to make sense out of the data.
The first presenter this week was myself, presenting the real-life applications of data management. My opening exercise, was having the students think-pair-share with their group members about where data management is used within the "real-world". I received answers from my peers ranging from average rainfall to average yearly income. I had the definitions displayed up on the board, with
mean, median, mode already defined on the white board. This way, I could adequately explain what an average was, verbally explaining it for the auditory learners, and visually representing it on the white board. My group explanation was to make the tables a shoe factory, and have them find out what the most important average was for this problem. Most of the groups came up with mode, or the most frequently occurring shoe size, as optimizing the production of shoes. This activity was designed for students connecting to the problem and reasoning to real-world problems.
The next presenter was Asma, who explained data management while using bar graphs. She had the class represent their favourite numbers up on the board. She represented this by having two people draw their results on the white boards. She facilitated this first by asking the class to get into pairs, and record the amount of times they rolled certain numbers with 10 rolls. After she had us find out what the most frequent number we rolled was. She mentioned the importance of labelling the x and y axis, as a prerequisite for comparing two unlike things.
| Heartwell, 2015 |
| Heartwell, 2015 |
Thanks for listening.

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