Description
This lesson is a detailed example of how Microsoft Excel can help not only statisticians, but the regular student complete tasks in a way that is functional, efficient and easy to read. It is a fantastic tool that helps the student build an appreciation and awareness of how to communicate properly in math. This lesson will allow students to reflect on the topic of “mean” within Data Management and encourage them to clarify and build on their mathematical arguments.
Lastly, this is a perfect way to bring technology into your teaching and make it a useful trip to your school computer lab. This introduction to Microsoft Excel is also an invaluable experience for your students who may not be computer literate or have proper access in their home.
I have included a step-by-step instructional sheet for teachers to hand out to their students. This easy to follow sheet will help teachers who are not that comfortable with Microsoft Excel and help build their confidence as well...
Lastly, this is a perfect way to bring technology into your teaching and make it a useful trip to your school computer lab. This introduction to Microsoft Excel is also an invaluable experience for your students who may not be computer literate or have proper access in their home.
I have included a step-by-step instructional sheet for teachers to hand out to their students. This easy to follow sheet will help teachers who are not that comfortable with Microsoft Excel and help build their confidence as well...
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$1.35
Highlights
Digital downloads
Grades
5th - 9th
Subjects
Standards
CCSS7.SP.A.1
CCSS7.SP.A.2
Pages
5
Answer Key
Does not apply
Teaching Duration
1 hour
Description
This lesson is a detailed example of how Microsoft Excel can help not only statisticians, but the regular student complete tasks in a way that is functional, efficient and easy to read. It is a fantastic tool that helps the student build an appreciation and awareness of how to communicate properly in math. This lesson will allow students to reflect on the topic of “mean” within Data Management and encourage them to clarify and build on their mathematical arguments.
Lastly, this is a perfect way to bring technology into your teaching and make it a useful trip to your school computer lab. This introduction to Microsoft Excel is also an invaluable experience for your students who may not be computer literate or have proper access in their home.
I have included a step-by-step instructional sheet for teachers to hand out to their students. This easy to follow sheet will help teachers who are not that comfortable with Microsoft Excel and help build their confidence as well...
Lastly, this is a perfect way to bring technology into your teaching and make it a useful trip to your school computer lab. This introduction to Microsoft Excel is also an invaluable experience for your students who may not be computer literate or have proper access in their home.
I have included a step-by-step instructional sheet for teachers to hand out to their students. This easy to follow sheet will help teachers who are not that comfortable with Microsoft Excel and help build their confidence as well...
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.
Reviews
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I'll be using this one as an extension and review for students!
Sounds great! Thanks!
Questions & Answers
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Standards
to see state-specific standards (only available in the US).
CCSS7.SP.A.1
Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.
CCSS7.SP.A.2
Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.
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