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| Data Interpretation | 5 |
| Mathematical Applications | 5 |
| Statistics | 5 |
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| Armstrong, Georganna | 1 |
| Hinders, Duane C. | 1 |
| Hitch, Chris | 1 |
| Stevens, Jill | 1 |
| Tappin, Linda | 1 |
| van Reeuwijk, Martin | 1 |
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| Journal Articles | 5 |
| Guides - Classroom - Teacher | 3 |
| Reports - Descriptive | 2 |
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| Practitioners | 5 |
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Peer reviewedHinders, Duane C. – Mathematics Teacher, 1990
Discusses the use or misuse of statistics or probability in society. Presented are examples from opinion polling, sports, the 1970 draft lottery, and the law. Lists 18 references. (YP)
Descriptors: Data Interpretation, Mathematical Applications, Mathematical Concepts, Mathematical Logic
Peer reviewedTappin, Linda – Mathematics Teacher, 1994
Presents an activity to analyze the data from the Challenger explosion to help students understand the critical role of statistics in decision making and the importance of considering all available data. (MKR)
Descriptors: Data Analysis, Data Interpretation, Decision Making, Exponents (Mathematics)
Peer reviewedHitch, Chris; Armstrong, Georganna – Arithmetic Teacher, 1994
Presents four sets of activities to develop the concepts of data analysis and graphing. Students estimate sample populations using beans, examine graphs from newspapers and magazines, predict the most popular color of cars, and simulate quality control in a manufacturing process. (MDH)
Descriptors: Concept Formation, Data Analysis, Data Collection, Data Interpretation
Peer reviewedStevens, Jill – Mathematics Teacher, 1993
Presents activities in which students develop and analyze scatterplots on graphing calculators to model corn growth, decay, a box of maximum volume, and weather prediction. Provides reproducible worksheets. (MDH)
Descriptors: Cooperative Learning, Data Analysis, Data Interpretation, Functions (Mathematics)
Peer reviewedvan Reeuwijk, Martin – Mathematics Teacher, 1992
Reports part of the results of the Design, Development, and Assessment in Mathematics Education Project that tested the booklet on descriptive statistics called "Data Visualization" in six experimental algebra classes in Whitnall, Wisconsin. Describes examples of problems presented, use of cooperative learning during instruction, and…
Descriptors: Cooperative Learning, Data Analysis, Data Interpretation, Educational Change


