#### Type:

Graphic Organizer/Worksheet

#### Description:

In this project we apply what students learned in the first four lessons (3.1-3.4). Students will summarize, represent, and interpret data on single and multiple variables. The activities are designed to give students experience interpreting linear models. Students will calculate the mean, median, mode and range of data sets.

#### Subjects:

• Mathematics > General

#### Keywords:

algebra linear equations variables inequalities exponents data mean median mode range

English

Members

#### Collections:

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Update Standards?

#### CCSS.Math.Content.HSS-ID.A.2: Common Core State Standards for Mathematics

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.

#### CCSS.Math.Content.HSS-ID.A.3: Common Core State Standards for Mathematics

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

#### CCSS.Math.Content.HSS-ID.A.4: Common Core State Standards for Mathematics

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.

#### MA.9-12.CCSS.Math.Content.HSS-ID.A.2: Mathematics

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.

#### MA.9-12.CCSS.Math.Content.HSS-ID.A.3: Mathematics

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

#### MA.9-12.CCSS.Math.Content.HSS-ID.A.4: Mathematics

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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