Learning Domain: Statistics and Probability

Standard: 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.

Degree of Alignment:
Not Rated
(0 users)

Learning Domain: Statistics and Probability

Standard: 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.

Degree of Alignment:
Not Rated
(0 users)

Learning Domain: Statistics and Probability

Standard: Display numerical data in plots on a number line, including dot plots, histograms, and box plots.

Degree of Alignment:
Not Rated
(0 users)

Learning Domain: Statistics and Probability

Standard: Summarize and describe distributions. Summarize numerical data sets in relation to their context, such as by:

Degree of Alignment:
Not Rated
(0 users)

Learning Domain: Statistics and Probability

Standard: Reporting the number of observations.

Degree of Alignment:
Not Rated
(0 users)

Learning Domain: Statistics and Probability

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

Degree of Alignment:
Not Rated
(0 users)

Learning Domain: Statistics and Probability

Standard: 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 was gathered.

Degree of Alignment:
Not Rated
(0 users)

Learning Domain: Statistics and Probability

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

Degree of Alignment:
Not Rated
(0 users)

Cluster: Develop understanding of statistical variability

Standard: 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.

Degree of Alignment:
Not Rated
(0 users)

Cluster: Develop understanding of statistical variability

Standard: 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.

Degree of Alignment:
Not Rated
(0 users)

Cluster: Summarize and describe distributions

Standard: Display numerical data in plots on a number line, including dot plots, histograms, and box plots.

Degree of Alignment:
Not Rated
(0 users)

Cluster: Summarize and describe distributions

Standard: Summarize and describe distributions. Summarize numerical data sets in relation to their context, such as by:

Degree of Alignment:
Not Rated
(0 users)

Cluster: Summarize and describe distributions

Standard: Reporting the number of observations.

Degree of Alignment:
Not Rated
(0 users)

Cluster: Summarize and describe distributions

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

Degree of Alignment:
Not Rated
(0 users)

Cluster: Summarize and describe distributions

Standard: 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 was gathered.

Degree of Alignment:
Not Rated
(0 users)

Cluster: Summarize and describe distributions

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

Degree of Alignment:
Not Rated
(0 users)

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