Visualising data/activity

From OER in Education
< Visualising data
Revision as of 10:44, 16 April 2012 by Bjoern (talk | contribs) (Created page with " {| style="border-spacing:0;" | | Subject | | Science |- | | Activity Name | | Variation of human characteristics |- | | Learning Objectives | | * For students to understand...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Subject Science
Activity Name Variation of human characteristics
Learning Objectives * For students to understand that there is a variation in some human characteristics

For students to collect, present, visualise and analyse variation data for themselves and the class

Outline of activity * Students measure various quantities (including but not limited to; arm length, height, hand span) and then analyse this data to look for patters of distribution amongst the class.

The spreadsheet allows graphs showing the data to be drawn instantaneously as the data is inputted helping student visualise the variation/distribution of the data within the class.

Technology requirements and skills Computer with spreadsheet software and template file (File:Class+Data+Set.ods Class Data Set.ods).



Equipment requirements * Rulers or measuring tapes. For height and other length measurements if tapes/rulers are limited then a single measuring station (for example marked on wall) could be used for the whole class.
  • Mini white boards could be used to engage class predictions of possible distributions (most common length, highest value, lowest value, etc)


Possible extension or supplementary activities * Data sets for other classes (or indeed the whole school) could be collected and students could see if the patterns/distributions seen in one class were
  • Calculators could be used to work our averages and other data analysis as an alternative, see moving stones activity for examples

Some students may analyse the data further, calculating the mean, mode, median of the data set (see counting stones activity for more suggestions and instructions).

Suggestions of what ‘successful’ student understanding or work might look like * Students will be confident collecting and handling data sets

Students will be familiar with the idea that certain human characteristics have a range (and distribution) distribution of values within a group