BS2004: Contemporary Techniques in Biological Data Analysis

  • 11 weeks
  • Each week consists of
    1. Pre session reading (Asynchronous)
    2. Online recorded slides (Asynchronous)
    3. Tutor led review session (Synchronous) 1 hour
    4. Computer practical (Asynchronous) Summative MCQ
    5. Blackboard discussion (Asynchronous)
    6. Drop in session for computer practicals (Synchronous) 1 hour.
    7. Complete example write up for each computer session (Asynchronous) Available after everyone/most have submitted MCQs (worth 50%)
    8. Write up of a complete analysis (worth 50%)

Do I not know all the stats?

Pythagorus’ theorem

*** \[d_1^2=d_2^2+d_3^2\]

or

\[SSY =SSE + SSA\]

A geometrical representation of an ANOVA

cube

A geometrical representation of an ANOVA

cube

A geometrical representation of a regression

cube

A geometrical representation of a regression

  • Point Y represents the data (the actual y values),
  • Point M represents the grant mean,
    • so all the coordinates describing this point have all the same value (the grant mean of y)
  • Point F (different than the ANOVA) represents the fitted y values,
    • so the coordinates describing this point, \[a+bx_1, a+bx_2, ...a+bx_n\]

A geometrical representation of a regression

cube

A geometrical representation of a regression

cube