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Variance of a Data Set

The mean of the squares of the deviation of data values
Levels are CK-12's student achievement levels.
Basic Students matched to this level have a partial mastery of prerequisite knowledge and skills fundamental for proficient work.
At Grade (Proficient) Students matched to this level have demonstrated competency over challenging subject matter, including subject matter knowledge, application of such knowledge to real-world situations, and analytical skills appropriate to subject matter.
Advanced Students matched to this level are ready for material that requires superior performance and mastery.
• Read

Variance

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• Read

Calculating Variance

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• Read

Random Variable Variance

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• Downloadable Quiz

Variance of a Data Set Quiz

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10 questions about Variance of a Data Set.

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• Practice
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Variance of a Data Set Practice

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• Critical Thinking

Variance of a Data Set Discussion Questions

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A list of student-submitted discussion questions for Variance of a Data Set.

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• Post Read

Variance of a Data Set Post Read

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To organize ideas, increase comprehension, synthesize learning, demonstrate understanding of key concepts, and reinforce vocabulary using a Quickwrite.

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• Pre Read

Variance of a Data Set Pre Read

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To reinforce and increase concept comprehension, and to analyze similarities and differences between topics using a Two Column Table.

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• Real World Application

Variance of a Data Set

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Students will analyze professional athletes' salaries using variance and standard deviation.

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• Real World Application

Feeling Bubbly

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Learn why some colleges have stopped awarding money to National merit Finalists.

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• Study Guide

Describing Data

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This study guide looks at levels of measurement and the shape, measures of center (median, mean, mode), and measures of spread (standard deviation) of a data set. It also compares the measures for population vs the measures for sample.

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• Flashcards

Normal Distribution Curves Flashcards

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These flashcards help you study important terms and vocabulary from Spread of a Normal Distribution, Variance of Normally Distributed Data, and Empirical Rule.

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