ELECTRONIC BUSINESS AND SOCIETY

• argue the (in)appropriate visual tool -- chart, graph, map and table -- for given data and results (MDM I, II)
• defend the use of two parametric and two non-parametric tests of difference (Parametric vs, Wikipedia)
• explain Hume's four conditions -- contiguity, constant conjunction, antecedence, necessary conjunction -- for causality (Cell phones, Flashcards, Wikipedia, Snapshot)
• demonstrate signifcance level's relationship with Type I and Type II errors (Wikipedia)

• MDM1: pp 8-16 and MDM2: pp 12-40, 46-50
• [QR] Cell phones: precautionary approach needed (17 Feb 2011) TheHindu.com
• [QR] Flashcards on causality, Quizlet.com
• [QR] Parametric vs. non-parametric tests, ChangingMinds.org
• [QR] Causality, determinism, parametric tests, non-parametric statistical tests, statistical significance, and Type I and Type II errors on Wikipedia
• [MR] A snapshot of consumer behaviour (17 Feb 2011) Livemint.com

• What is the right amount of visuals? Why?
• Why test for difference?
• When should one not use the most powerful test?
• Why is a Type I or Type II error worse?
• How will dynamic visualisations, such as over time, influence viewing platforms?

• Support interesting inferential tests for your ANZMAC story
• Support specific visuals for your interesting ANZMAC story
• Scan week 7 learning objectives

Complementary Content

• [V] Tim Berners-Lee: The year open data went worldwide (2010) TedTalks (6 min)
• [QR] Can we free ourselves from superstition? (28 Jan 2011) FT.com
• [V] 200 countries, 200 years, 4 minutes, OpenLearn at the Open University (5 min)
•  [V] Darwin and statistics, OpenLearn at the Open University (5.5 min)
• [QR] A basic guide to choosing a statistical test, SPSSUsers.co.uk