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Step-by-Step Scratch Programming MEAN
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Description

Use with the whole class OR as an extension/enrichment activity for that kid that always finishes before everybody else and needs an extra challenge to keep them out of your hair.

The user can follow these instructions step-by-step to build a program that calculates the mean of 8 numbers a user enters. Then there are follow-up challenges to "level-up" making the program more useful and/or extending into using similar ideas to calculate M.A.D.

Note: some familiarity with scratch programming is assumed BUT with a little guidance a complete novice can probably follow the steps (especially since scratch color codes all of its blocks making them easy to find by color).

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Step-by-Step Scratch Programming MEAN

Blatant Mathematics
5 Followers
$4.00

Highlights

Digital downloads
Grades icon
Grades
5th - 10th
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Standards
Pages
11

Description

Use with the whole class OR as an extension/enrichment activity for that kid that always finishes before everybody else and needs an extra challenge to keep them out of your hair.

The user can follow these instructions step-by-step to build a program that calculates the mean of 8 numbers a user enters. Then there are follow-up challenges to "level-up" making the program more useful and/or extending into using similar ideas to calculate M.A.D.

Note: some familiarity with scratch programming is assumed BUT with a little guidance a complete novice can probably follow the steps (especially since scratch color codes all of its blocks making them easy to find by color).

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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Standards

to see state-specific standards (only available in the US).
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.
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