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In 1989, there was a call for new curriculum in social studies, which was uniquely suited to bringing visual information to educational programs by introducing map reading skills, charts and graphs for analyzing data, primary source visuals from the period ephemera, and paintings, sculpture, architecture, objects of daily use, and other ...
The Graph Literacy Scale [3] consists of 13 items and measures three abilities related to graph comprehension (see [11]) (1) the ability to read the data, that is, to find specific information in the graph; (2) the ability to read between the data, that is, to find relationships in the data as shown on the graph; and (3) the ability to read beyond the data, or make inferences and predictions ...
A bar graph shows comparisons among discrete categories. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value. Some bar graphs present bars clustered in groups of more than one, showing the values of more than one measured variable. These clustered groups can be differentiated using ...
The graphs can be used together to determine the economic equilibrium (essentially, to solve an equation). Simple graph used for reading values: the bell-shaped normal or Gaussian probability distribution, from which, for example, the probability of a man's height being in a specified range can be derived, given data for the adult male population.
Whereas statistics and data analysis procedures generally yield their output in numeric or tabular form, graphical techniques allow such results to be displayed in some sort of pictorial form. They include plots such as scatter plots , histograms , probability plots , spaghetti plots , residual plots, box plots , block plots and biplots .
Statistics educators have cognitive and noncognitive goals for students. For example, former American Statistical Association (ASA) President Katherine Wallman defined statistical literacy as including the cognitive abilities of understanding and critically evaluating statistical results as well as appreciating the contributions statistical thinking can make.
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The NCBI article titled "Teaching Data Science to Medical Students: A Multi-Disciplinary Approach" (NCBI article [3]) covered how Google Charts has helped medical students learn about data science in a hands-on way. Google Charts allows for the visualization of complex data sets, which may improve some students' understanding of the information.
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