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Compute Measures of Center (Mean, Median, Mode)

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Compute Measures of Center (Mean, Median, Mode)

TEKS Math: 6.12.C

(C) Summarize numeric data with numerical summaries, including the mean and median (measures of center) and the range and interquartile range (IQR) (measures of spread), and use these summaries to describe the center, spread, and shape of the data distribution

AU Math: ACMSP171

(Y7) Calculate mean, median, mode and range for sets of data. Interpret these statistics in the context of data (ACMSP171)

CCSS Math: 6.SP.3

6.SP.3 Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.

This statistics, data analysis, and probability lesson focuses on computing the mean, median, and mode of data sets. The lesson includes research-based strategies and strategic questions that prepare students for assessments. In this lesson, students order the numbers from least to greatest. Then, they compute the mean by adding all the values in the data set and dividing by the number of items. They compute the median by identifying the middle number, realizing that if there is an even number, they will need to find the sum of the two middle values and divide by two. They compute the mode by identifying the most frequent number in the data set. In addition to the lesson, there are eight pages of Independent Practice and Periodic Reviews with questions modeled after current adaptive testing items.

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Standard Alignments:

TEKS Math: 6.12.C

(C) Summarize numeric data with numerical summaries, including the mean and median (measures of center) and the range and interquartile range (IQR) (measures of spread), and use these summaries to describe the center, spread, and shape of the data distribution

AU Math: ACMSP171

(Y7) Calculate mean, median, mode and range for sets of data. Interpret these statistics in the context of data (ACMSP171)

CCSS Math: 6.SP.3

6.SP.3 Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.


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