Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: Summarize, represent, and interpret data on two categorical and quantitative variables

Indicator: Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.*

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Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: Summarize, represent, and interpret data on two categorical and quantitative variables

Indicator: Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.*

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Not Rated
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Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: Summarize, represent, and interpret data on two categorical and quantitative variables

Indicator: Fit a linear function for a scatter plot that suggests a linear association.*

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Not Rated
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Learning Domain: Mathematical Practices

Standard: Mathematical practices

Indicator: Model with mathematics. Mathematically proficient students can apply the mathematics they know to solve problems arising in everyday life, society, and the workplace. In early grades, this might be as simple as writing an addition equation to describe a situation. In middle grades, a student might apply proportional reasoning to plan a school event or analyze a problem in the community. By high school, a student might use geometry to solve a design problem or use a function to describe how one quantity of interest depends on another. Mathematically proficient students who can apply what they know are comfortable making assumptions and approximations to simplify a complicated situation, realizing that these may need revision later. They are able to identify important quantities in a practical situation and map their relationships using such tools as diagrams, two-way tables, graphs, flowcharts and formulas. They can analyze those relationships mathematically to draw conclusions. They routinely interpret their mathematical results in the context of the situation and reflect on whether the results make sense, possibly improving the model if it has not served its purpose.

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Not Rated
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Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: Summarize, represent, and interpret data on a single count or measurement variable

Indicator: 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.*

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Not Rated
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Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: Summarize, represent, and interpret data on a single count or measurement variable

Indicator: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).*

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Not Rated
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Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: Summarize, represent, and interpret data on a single count or measurement variable

Indicator: 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.*

Degree of Alignment:
Not Rated
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Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: Summarize, represent, and interpret data on a single count or measurement variable

Indicator: Represent data with plots on the real number line (dot plots, histograms, and box plots).*

Degree of Alignment:
Not Rated
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Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: Summarize, represent, and interpret data on two categorical and quantitative variables

Indicator: Informally assess the fit of a function by plotting and analyzing residuals.*

Degree of Alignment:
Not Rated
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Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: Interpret linear models

Indicator: Distinguish between correlation and causation.*

Degree of Alignment:
Not Rated
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Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: Summarize, represent, and interpret data on two categorical and quantitative variables

Indicator: Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.*

Degree of Alignment:
Not Rated
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Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: Interpret linear models

Indicator: Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.*

Degree of Alignment:
Not Rated
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Learning Domain: Mathematical Practices

Standard: Mathematical practices

Indicator: Reason abstractly and quantitatively. Mathematically proficient students make sense of the quantities and their relationships in problem situations. Students bring two complementary abilities to bear on problems involving quantitative relationships: the ability to decontextualize"Óto abstract a given situation and represent it symbolically and manipulate the representing symbols as if they have a life of their own, without necessarily attending to their referents"Óand the ability to contextualize, to pause as needed during the manipulation process in order to probe into the referents for the symbols involved. Quantitative reasoning entails habits of creating a coherent representation of the problem at hand; considering the units involved; attending to the meaning of quantities, not just how to compute them; and knowing and flexibly using different properties of operations and objects.

Degree of Alignment:
Not Rated
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Learning Domain: Mathematical Practices

Standard: Mathematical practices

Indicator: Construct viable arguments and critique the reasoning of others. Mathematically proficient students understand and use stated assumptions, definitions, and previously established results in constructing arguments. They make conjectures and build a logical progression of statements to explore the truth of their conjectures. They are able to analyze situations by breaking them into cases, and can recognize and use counterexamples. They justify their conclusions, communicate them to others, and respond to the arguments of others. They reason inductively about data, making plausible arguments that take into account the context from which the data arose. Mathematically proficient students are also able to compare the effectiveness of two plausible arguments, distinguish correct logic or reasoning from that which is flawed, and"Óif there is a flaw in an argument"Óexplain what it is. Elementary students can construct arguments using concrete referents such as objects, drawings, diagrams, and actions. Such arguments can make sense and be correct, even though they are not generalized or made formal until later grades. Later, students learn to determine domains to which an argument applies. Students at all grades can listen or read the arguments of others, decide whether they make sense, and ask useful questions to clarify or improve the arguments.

Degree of Alignment:
Not Rated
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Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data

Standard: Interpret linear models

Indicator: Compute (using technology) and interpret the correlation coefficient of a linear fit.*

Degree of Alignment:
Not Rated
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