Summarize numerical data sets in relation to their context, such as by:

Statistics and Probability

Summarize and describe distributions.

Summarize numerical data sets in relation to their context, such as by:

Statistics and Probability

Summarize and describe distributions.

Ohio DOE

Last updated:

2013-06-20 15:16:59

Resources cannot be aligned to this standard, browse sub-standards to find lessons.

- This standard is part of: OH.Math.Content.6.SP.B
- This standard is derived from: CCSS.Math.Content.6.SP.B.5

Finer grained standards that are part of this one

Reporting the number of observations.

Ohio DOE

Last updated:

2013-06-20 15:17:00

Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.

Ohio DOE

Last updated:

2013-06-20 15:17:00

Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.

Ohio DOE

Last updated:

2013-06-20 15:17:00

Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.

Ohio DOE

Last updated:

2013-06-20 15:17:00

Standards with the same topic and subject but for other grades

Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability.

Ohio DOE

Last updated:

2013-06-20 15:17:22

Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.

Ohio DOE

Last updated:

2013-06-20 15:17:22

Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.

Ohio DOE

Last updated:

2013-06-20 15:17:46

Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.

Ohio DOE

Last updated:

2013-06-20 15:17:46

Summarize quantitative data sets in relation to their context by using mean absolute deviation (MAD), interpreting mean as a balance point.

Ohio DOE

Last updated:

2017-03-14 02:40:30

Standards derived from the same national standard

Summarize numerical data sets in relation to their context, such as by:

Utah DOE

Last updated:

2015-04-08 13:03:28

Summarize numerical data sets in relation to their context, such as by:

Kentucky DOE

Last updated:

2019-03-20 08:30:58

Summarize numerical data sets in relation to their context, such as by:

Colorado DOE

Last updated:

2018-10-08 17:03:39

Summarize numerical data sets in relation to their context, such as by:

Kansas DOE

Last updated:

2017-11-10 16:04:44

Summarize numerical data sets in relation to their context, such as by:

Kentucky DOE

Last updated:

2013-06-20 09:40:59

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