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Math

Indiana Math

Quantitative Reasoning: Statistics

QR.S.1

Not covered
Analyze statistical information from studies, surveys, and polls (including when reported in condensed form or using summary statistics) to make informed judgments as to the validity of claims or conclusions, such as when interpreting and comparing the results of polls using margin of error.
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QR.S.2

Not covered
Identify limitations, strengths, or lack of information in studies, including data collection methods (e.g. sampling, experimental, observational) and possible sources of bias, and identify errors or misuses of statistics to justify particular conclusions.
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QR.S.3

Not covered
Create (with and without technology) and use visual displays of real world data, such as charts, tables and graphs.
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QR.S.4

Mostly covered
Interpret and analyze visual representations of data, and describe strengths, limitations, and fallacies of various graphical displays.
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QR.S.5

Partially covered
Read, interpret, and make decisions about data summarized numerically using measures of center and spread, in tables, and in graphical displays (line graphs, bar graphs, scatterplots, and histograms), e.g., explain why the mean may not represent a typical salary; explain the difference between bar graphs and histograms; critique a graphical display by recognizing that the choice of scale can distort information.
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QR.S.6

Not covered
Summarize, represent, and interpret data sets on a single count or measurement variable using plots and statistics appropriate to the shape of the data distribution to represent it.
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QR.S.7

Partially covered
Compare center, shape, and spread of two or more data sets and interpret the differences in context.
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QR.S.8

Mostly covered
Use properties of distributions, including uniform and normal distributions, to analyze data and answer questions.
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QR.S.9

Partially covered
Recognize when data are normally distributed and use the mean and standard deviation of the data to fit it to a normal distribution.
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