Grades 6-8 | 3 (45 min) Classes

Topics Covered

Mean, Median, Mode, and Range of a Data Set

Essential Question

How can we use mean, median, and mode to analyze and graph astronaut height data?

Overview

In this lesson, students will apply an understanding of statistics to the height requirements for astronaut candidacy. They are answering the question, “How can we use mean, median, and mode to analyze and graph Astronaut height data?” Students will analyze the data to identify patterns and deviations from the pattern.

For their assessment students will gather, graph, and analyze height data collected from measuring their classmates to determine the possibility of the students in their class being selected as an astronaut candidate based on height.

Materials

Each Student Needs:

  • Student Portfolio
  • Calculator
  • Meter Stick
  • Graphing software such as Google Sheets, Microsoft Excel, or graph paper, rulers and pencils

Each Classroom Needs (for optional class rocket launch):

Standards

NGSS_logo
NGSS Standards not available for this lesson.
Common-Core-Standards-Logo

CCSS.MATH. CONTENT.6. SP.A.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.

CCSS.MATH. CONTENT.6. SP.B.4

Display numerical data in plots on a number line, including dot plots, histograms, and box plots.

CCSS.MATH. CONTENT.6. SP.B.5. A

Reporting the number of observations.

CCSS.MATH. CONTENT.6. SP.B.5.C

Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.

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Vocabulary

HABITABLE SPACE

The amount of livable space

MEAN

The average of the data

MEDIAN

The data point that is in the middle when the data is listed in numerical order

MODE

The value or values that occur the most often in a data set

OUTLIER

Data point that differs significantly from other measurements

RANGE

The difference between the greatest and least values

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