Difference between revisions of "S1 Representation and Summary"

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== Preparation ==
 
== Preparation ==
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[[Media:Statistics_glossary.docx|Statistics glossary]]
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== Supporting activities ==
 
== Supporting activities ==
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[[Media:Msv-1.pdf|MSV activity on histograms]]
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[[Media:Climate_data_UK.xlsx|Sample data]]
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[[Media:S1_Coding.ppt|Powerpoint - Coding]]
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[[Media:DescriptiveMatch.pdf| Key word description matching activity]]
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== Consolidation ==
 
== Consolidation ==
 
== Homework ==
 
== Homework ==
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== Assessment ==
 
== Assessment ==
 
== Notes ==
 
== Notes ==
<math>\sigma=\sqrt{\frac{\sum{x^2}}{n}-\mu^2}</math>
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http://hansrosling.com Great videos
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http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html

Latest revision as of 11:13, 17 July 2014

Part of S1

Objectives

  • Using histograms, stem and leaf diagrams and box plots to compare distributions
  • Back-to-back stem and leaf diagrams may be required
  • Measures of location (mean, median, mode)
  • Drawing simple inferences and give interpretations to measures of location and dispersion
  • Data may be discrete, continuous, grouped or ungrouped
  • Understanding and use of coding
  • Measures of dispersion (variance, standard deviation, range and interpercentile ranges)
  • Simple interpolation
  • Interpretation of measures of location and dispersion
  • Skewness
  • Concepts of outliers. Location of outliers on a box plot

Preparation

Statistics glossary

Supporting activities

MSV activity on histograms

Sample data

Powerpoint - Coding

Key word description matching activity

Consolidation

Homework

Key questions

Assessment

Notes

http://hansrosling.com Great videos

http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html