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DC Field | Value | Language |
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dc.contributor.author | Falagkaras, Aristeidis | - |
dc.date.accessioned | 2021-11-09T19:37:22Z | - |
dc.date.available | 2021-11-09T19:37:22Z | - |
dc.date.issued | 2021-11-09 | - |
dc.identifier.uri | http://repository.include-erasmus.eu/jspui/handle/7112/17 | - |
dc.description | Processing statistical data for making inferences. | en_US |
dc.language | en | en_US |
dc.publisher | Include | en_US |
dc.subject | Mathematics | en_US |
dc.title | Stem and leaf plots, Histograms. | en_US |
dc.type | inquiry | en_US |
dc.type | text | en_US |
dc.type | educational scenario - lesson plan | en_US |
dc.keyword | Statistics, Dotplots, Stem and leaf plots, Histograms. | en_US |
dc.age | 13 | en_US |
dc.school | 1o peiramatiko gymnasio Athinas | en_US |
dc.module | Statistics | en_US |
dc.unit | Dotplots, Stem and leaf plots, Histograms. | en_US |
dc.englishLevel | B2 | en_US |
dc.requirements | Access to internet , access to Pc Lab or Interactive whiteboard or simple projector. | en_US |
dc.duration | 4 | en_US |
dc.keycompetences | Detailed Competences::1. Literacy Competence::Knowledge::Knowledge of vocabulary, grammar and the functions of language | en_US |
dc.keycompetences | Detailed Competences::2. Multilingual Competence::Knowledge::Knowledge of vocabulary | en_US |
dc.keycompetences | Detailed Competences::3. Mathematical competence and competence in science, technology, engineering::A. Mathematical competence::Knowledge::Understanding of mathematical terms and concepts | en_US |
dc.keycompetences | Detailed Competences::4. Digital Competence::Knowledge::understanding how digital technologies can support communication, creativity and innovation | en_US |
dc.keycompetences | Detailed Competences::6. Citizenship Competence::Knowledge::understanding of the European common values | en_US |
dc.keycompetences | Detailed Competences::2. Multilingual Competence::Skills::Ability to understand spoken messages | en_US |
dc.keycompetences | Detailed Competences::3. Mathematical competence and competence in science, technology, engineering::A. Mathematical competence::Skills::Skill to follow and assess chains of arguments | en_US |
dc.keycompetences | Detailed Competences::3. Mathematical competence and competence in science, technology, engineering::A. Mathematical competence::Attitudes::Respect for truth and a willingness to look for reasons and to assess their validity | en_US |
dc.learningOutcome | To learn how to process raw data in order to make conclusions. - To realize that statistics is a very powerful tool for decision making . - To be able to construct dot plots, steam and Leaf plots, Histograms. - To be able to read dot plots, steam and Leaf plots, Histograms. - To be able to compare dot plots, steam and Leaf plots, Histograms. - To be able to make conclusions when reading dot plots, steam and Leaf plots, Histograms. - To learn how to use Google sheets for processing data. - To enrich their knowledge in the field of Statistics in a foreign language. - To consolidate statistical terms and concepts through interactive drill and practice - To collaborate effectively in discussing and reasoning using data. - To develop their critical thinking, through curiosity and observation . - To learn about Europe through the history of football. - To learn about the discrimination against women in the past centuries. - To learn about the history of statistics. | en_US |
dc.transversalSkill | Information literacy | en_US |
dc.transversalSkill | Creativity and Innovation | en_US |
dc.transversalSkill | Collaboration and Communication | en_US |
dc.transversalSkill | Autonomous learning | en_US |
dc.europeanity | Football is a popular sport with a great impact all over the world. We can meet sports like football since antiquity in many parts of the world. Modern football was born in Europe and is part of its popular culture. It is in the daily life of many people, either playing sports or being fans of football clubs and watching it for fun. Quite often, however, phenomena of violence, racism or racial discrimination occur. In other words, football follows the prevailing social norms of each era. Because it is a competitive sport the need for comparisons arises. It is common to keep records with data , from the processing of which conclusions can be drawn. This is how the science of Statistics enters. Statistics is a very powerful tool that has been developed by humanity in order to make decisions about problems concerning the economy, the biology, medicine etc. The contribution of the scientists of Europe in the development of statistics is remarkable.We can say that it was formed in Europe. | en_US |
Appears in Collections: | Include |
Files in This Item:
File | Description | Size | Format | |
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Senario description-statistics.docx | Senario description | 1.06 MB | Microsoft Word XML | View/Open |
Senario Statistics , Worksheet .Dotplots Leafplots Histogramms.docx | Worksheet | 1.28 MB | Microsoft Word XML | View/Open |
Constructing histograms on google sheets_video.mp4 | Video | 961.09 kB | Unknown | View/Open |
P1S17Y2 (1).zip | worksheets | 4.9 MB | Zip | View/Open |
_Heights of Fathers and Sons - appendix1 -2.xlsx | Raw Data | 40.91 kB | Microsoft Excel XML | View/Open |
Making Histograms Scorers of Champions League (1).xlsx | Raw Data | 7.85 kB | Microsoft Excel XML | View/Open |
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