Difference between revisions of "S1 Representation and Summary"

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http://hansrosling.com Great videos
 
http://hansrosling.com Great videos
 
<math>\sigma=\sqrt{\frac{\sum{x^2}}{n}-\mu^2}</math>
 
  
 
http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html
 
http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html

Revision as of 08:54, 14 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

File:Statistics glossary.docx

Supporting activities

MSV activity on histograms

Sample data

Powerpoint - Coding

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