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In this activity, students conduct an investigation to determine the rate of change in the popping of microwave popcorn. Four volunteers will estimate the time in the popping process where the rate of change is at 5 chosen levels. Other students will collect data on number of pops during consecutive 5 second time periods and draw histograms. Students will understand the approximate normal curve for a real data set and the relationship between the rate of popping and the shape of the distribution. This activity also provides an opportunity for students to understand human errors in data collection because not everyone will have the same number of frequencies in the corresponding classes of their histograms.
In this activity, students conduct an investigation to determine the rate of change in the popping of microwave popcorn. Four volunteers will estimate the time in the popping process where the rate of change is at 5 chosen levels. Other students will collect data on number of pops during consecutive 5 second time periods and draw histograms. Students will understand the approximate normal curve for a real data set and the relationship between the rate of popping and the shape of the distribution. This activity also provides an opportunity for students to understand human errors in data collection because not everyone will have the same number of frequencies in the corresponding classes of their histograms.
This tool creates visualizations graphs of the data your twitter/hashtag archives. Use it to help you understand trends such as the number of Tweets over time, top users and words, sentiment, and more.
This could be a great tool to use with students in the clasrrom. They can research their won dataset and visualise it.
Mobility 2011 study
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