Definition--Measures of Central Tendency--Symmetric Distribution
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Algebra >> Probability and Data Analysis >> Data Analysis

Definition--Measures of Central Tendency--Symmetric Distribution

Symmetric Distribution

Symmetric Distribution

Topic

Statistics

Definition

A symmetric distribution is a probability distribution where the left and right sides are mirror images of each other.

Description

Symmetric distributions are characterized by data that is evenly distributed around the mean, resulting in a balanced, mirror-image shape. The most common symmetric distribution is the normal distribution, which is widely used in statistics for modeling natural phenomena. Symmetric distributions are important for statistical inference, as many statistical tests assume data is symmetrically distributed.

In math education, symmetric distributions are introduced to help students understand data balance and variability. Teachers use symmetric distributions to explain how data can be evenly distributed and the implications for statistical analysis. Students often analyze symmetric data sets to develop skills in data interpretation and critical thinking.

For a complete collection of terms related to Measures of Central Tendency click on this link: Measures of Central Tendency Collection.

Common Core Standards CCSS.MATH.CONTENT.HSS.CP.B.6, CCSS.MATH.CONTENT.HSS.CP.B.7, CCSS.MATH.CONTENT.HSS.CP.B.8, CCSS.MATH.CONTENT.HSS.CP.B.9, CCSS.MATH.CONTENT.HSS.MD.A.2, CCSS.MATH.CONTENT.HSS.MD.B.5, CCSS.MATH.CONTENT.HSS.MD.B.5.B, CCSS.MATH.CONTENT.HSS.MD.B.6, CCSS.MATH.CONTENT.HSS.MD.B.7
Grade Range 6 - 10
Curriculum Nodes Algebra
    • Probability and Data Analysis
        • Data Analysis
Copyright Year 2021
Keywords data analysis, measures of central tendency, definitions, glossary term, statistics