Develop understanding of statistical variability.

Statistics and Probability

Develop understanding of statistical variability.

Statistics and Probability

Kentucky DOE

Last updated:

2013-06-20 09:40:59

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

- This standard is part of: 6.SP
- This standard is derived from: CCSS.Math.Content.6.SP.A

Finer grained standards that are part of this one

Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers.

Kentucky DOE

Last updated:

2013-06-20 09:40:59

Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.

Kentucky DOE

Last updated:

2013-06-20 09:40:59

Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.

Kentucky DOE

Last updated:

2013-06-20 09:40:59

Standards with the same topic and subject but for other grades

Investigate patterns of association in bivariate data.

Kentucky DOE

Last updated:

2013-06-20 09:41:38

Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.

Kentucky DOE

Last updated:

2013-06-20 09:41:39

Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.

Kentucky DOE

Last updated:

2013-06-20 09:41:39

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.

Kentucky DOE

Last updated:

2013-06-20 09:41:39

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.

Kentucky DOE

Last updated:

2013-06-20 09:41:39

Standards derived from the same national standard

Develop understanding of statistical variability.

Washington DOE

Last updated:

2013-06-21 08:42:40

Develop understanding of statistical variability.

Connecticut DOE

Last updated:

2013-06-19 14:42:59

Develop understanding of statistical variability.

Michigan DOE

Last updated:

2013-06-20 10:31:20

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