Standard 4

Analyzing Data

+++4 checklist 2 pager

Sports Data is a great place to start analysis.

student samples data analysis A_D

Samples of SEP 4 are below

Mastery Level 4

The Data Table

(the tool)

Students analyzed grams in each box

The Analysis: Mastery Level 3

This student did a great job of explaining the data that was collected (Description) . It is so important to set the stage and explain the data itself.

Standard 4 Sample that needs table headings, sentences about the data and and inference. Since Vela scored more goals, what can we know or infer about him?

YES!! Limitations. These students thought about the sources of error. The included that Vela might have had the ball passed to him more. This could have affected the data. Other limitations might exist. Did Rossi get as many minutes on the field as Vela? Did Vela's penalty kicks, after constantly getting targeted from other teams, increase his opportunities to score? Students need to identify problems that might have affected the data collection.

What is Missing: Table headings. Above the name, "Carlos Vela" there should be a column heading naming Carlos Vela as a player. Above 19 there should be a title as well. "Goals," or "Goals This Season," would be appropriate. To score above a 1, students must include a heading in their data table.
The thing to improve A lot of the math that is included is not relevant to the analysis. When comparing to quantities most students would choose to find the difference
the data table could look like this

vela

The Data Table

( the tool)

The Analysis Mastery Level: 1

When analyzing data it is important to reread your work to make sure that you are saying something meaningful. This student does not have a reason to talk about these numbers.

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