# Measures of Central Tendency- Homework for use with Google Forms

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1. #distancelearning This bundle currently includes self-grading assignments on the following skills:Measures of Central TendencyDot Plots & HistogramsBox PlotsStandard Deviation & The Empirical RuleTwo- Way Frequency TablesScatter PlotsWorks great for homework or class work assignments! I lin
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2. #distancelearningThis bundle includes all SEMESTER 2 algebra 1 digital google forms/ quizzes that I have created. Every assignment also includes a "worksheet" that corresponds with the questions on each form. Additional assignments will be added throughout this school year. The price will increa
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#distancelearning This 8- question (26- point), self-grading assignment provides students with practice calculating and analyzing measures of central tendency. Questions are organized in the following way:

• #1-5: Calculate/ Find the mean, median, mode, & range.
• #6-7: Solve for a missing data value, when the mean is given.
• #8: Interpret the "best" measure of center (mean or median) and justify your answer.

Most questions are "short-response" with a few "select all that apply".

I have also included a hard copy of the assignment which includes the exact same questions as the Google Form. This helps with organization and accountability.

You will receive a link & directions to access a copy of the google form. Once copied, it is yours to edit. The entire form is editable with the exception of images I have uploaded. You are always free to delete/ add/ change anything on the form!

I have the form set to collect email addresses but if your students don't have email addresses you can easily turn that feature off.

Please note: This assignment was written to meet the high school algebra 1 statistic standards, but could easily be modified to meet the needs of a middle school classroom.

You may also be interested in some of my foldable bundles:

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