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Samenvatting Voortgezette Statistiek en 'R'

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 431 views  13 purchases
  • Course
  • Voortgezette Statistiek en R
  • Institution
  • Universiteit Utrecht (UU)
  • Book
  • The Analysis of Biological Data

Een complete samenvatting van de stof voor het eindtentamen van Voortgezette Statistiek en 'R'. Bevat puntsgewijs alle toetsen, met hypothesen, voorwaarden en R-scripts. Ook te koop in combinatie met antwoorden van de Hand-in assignments (tellen mee voor eindcijfer!), zie bundel.

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Document information

  • Unknown
  • November 13, 2017
  • 20
  • 2016/2017
  • Summary

Subjects

  • voortgezette
  • statistiek
  • en r
  • hand in assigments
  • antwoorden
  • whitlock and schluter
  • voortgezette statistiek en r
  • universiteit utrecht

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  • Universiteit Utrecht (UU)
  • Biologie
  • Voortgezette Statistiek en R
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3  reviews

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By: smwanders • 3 year ago

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By: StijnBrouwerss • 3 year ago

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Good luck with your exam!

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By: emmanieuw96 • 5 year ago

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By: Idavanommeren • 6 year ago

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Samenvatting Voortgezette Statistiek en ‘R’


Proportions

Binomial test: test whether a proportion found in a sample differs significantly from an assumed
(null-hypothesized) proportion

- Hypotheses:
o H0: p= 0.5 (geen verschil, kan elke waarde zijn)
o HA: p≠ 0.5
- In R:




- Confidence interval




Z-test: comparing two proportions -> difference between proportions p1 and p2?

- Hypotheses:
o H0: p₁= p₂, or p₁ – p₂= 0
o HA: p₁≠ p₂, or p₁ – p₂≠ 0
- In R: wordt eigenlijk chi^2 test uitgevoerd (chi^2 = Z^2)




1

, Samenvatting Voortgezette Statistiek en ‘R’


Probability models

χ2-goodness-of-fit test: comparing proportions of categorical or discrete variables to the probabilities
of a null model

- Hypotheses:
o H0: for each item/individual in the sample, the probabilities that it falls into each
class/level are p₁= p=, ...= pk (allemaal gelijk)
o HA: probabilities zijn niet allemaal gelijk
- χ2 distribution (W&S Statistical Table A)




- Practical rule of thumb: at least 80% of the expected frequencies Ei must be at least 5 (Ei ≥ 5),
and none of the expected frequencies can be smaller than 1 (Ei < 1)
- In R:




- If your null model has a parameter that you estimate using your data, you need to calculate
the P-value yourself



Contingency analysis

Odds for an event (O): the probability that it occurs, divided by the probability that it does not occur

- Format




2

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