Dusty Dilemma
Website Address:https://www.curriki.org/oer/Dusty-Dilemma-154523
Type:
OtherDescription:
This is a lesson about statistics in science as it applies to the measurement of dust in space. Learners will be introduced to the concepts of error analysis, including standard deviation. They will apply the knowledge of averages (means), standard deviation from the mean, and error analysis to their own distribution of heights and then to the Student Dust Counter (SDC) data to determine the issues associated with taking data including error and noise.
Subjects:
- Mathematics > General
Education Levels:
- Grade 1
- Grade 2
- Grade 3
- Grade 4
- Grade 5
- Grade 6
- Grade 7
- Grade 8
- Grade 9
- Grade 10
- Grade 11
- Grade 12
Keywords:
Middle School,Mathematics:Data collection, analysis and probability,Engineering and technology,Planetary Science,NSDL_SetSpec_ncs-NSDL-COLLECTION-000-003-112-115,Grade 8,Grade 9,Engineering,New Horizons,High School,Grade 10,Vocational/Professional Development Education,Mathematics:Measurement,Mathematics,Technology,oai:nsdl.org:2200/20140407123042776T,NSDLLanguage:
EnglishAccess Privileges:
Public - Available to anyoneLicense Deed:
Creative Commons Attribution Non-Commercial Share AlikeCollections:
NoneYou May Like
Featured
This is a lesson about statistics in science as it applies to the measurement of dust in space. Learners will be introduced to the concepts of error analysis, including standard deviation. They will apply the knowledge of averages (means), standard deviation from the mean, and error analysis to their own distribution of heights and then to the Student Dust Counter (SDC) data to determine the issues associated with taking data including error and noise.
