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Normal Distribution in a real life context: Lake Tekapo Fish Mongers

Rated 4.5 out of 5, based on 2 reviews
4.5Ā (2 ratings)
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Original Mathematics
1 Follower
Grade Levels
10th - 12th, Higher Education
Standards
Formats Included
  • Google Driveā„¢ folder
Pages
24 pages
$9.90
$9.90
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Original Mathematics
1 Follower
Made for Google Driveā„¢
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Description

Are you having trouble explaining what Normal distribution is and how it can be used in real life? Are your students craving a hands on activity that would make sense of this concept? Do you need an engaging project on statistics? Would you like an activity that already has enrichment, scaffolding and all of the material ready to go? If you answered yes to any or all of these questions, this project is tailor made for you!

Your students will assume a role of a research team for a fishing company. They will have to use Normal distribution and associated skills (application of Z-scores, approximation of areas under the curve etc.) to predict fish populations for next year and hence find the most suitable offer there is on the market for them to sell of their fish.

This project shows a real life, practical and hands on approach to normal distribution, to make sense of it and enrich students with its potential application. This project can be done with a multitude of variants, increasing difficulty, scaffolding and extra tasks. All of this is explained in a simple manual for the teacher, that is part of the pack.

The module now also contains a detailed answer sheet with tips and instructions for the teacher, including the work and guide towards the correct answers and directions of the discussion that will lead towards the right solution.

Total Pages
24 pages
Answer Key
Included
Teaching Duration
3 hours
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Standards

to see state-specific standards (only available in the US).
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.
Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.

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