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BIOL2022 L22 nMDS and hypothesis testing

Usuario eliminado 10 preguntas Actualizado el 12 nov 2018

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Preguntas del test (10)

  1. 1Label the steps appropriately (please).Imagen de la pregunta 1
    1. A(dis)similarity matrix
    2. BnMDS
    3. CANOSIM
    4. DSIMPER
    5. EANOVA
    6. FPERMANOVA
  2. 2Species diversity indexes:
    Different diversity indices emphasise different things. Two examples are the following. Which emphasises what?    Imagen de la pregunta 2
    1. AEmphasises common species
    2. BEmphasises rare species
    3. CEmphasises non-zero correlations
    4. DEmphasises zero-correlations
    5. EEmphasises similarities
    6. FEmphasises dissimilarities
  3. 3In either the Simpson’s index or the Shannon-Weiner index, despite their differences, they both have high index values if:
    1. AEvenness is high
    2. BEvenness is low
    3. CThere are few species
    4. DThere are many species
    5. ENone of the above
  4. 4In a(n) [blank_start]____________[blank_end], a [blank_start]________[blank_end] stress value means the model is good.
    1. ALow
    2. BHigh
    3. CnMDS
    4. DANOSIM
    5. EPERMANOVA
    6. FSIMPER
    7. GBray-Curtis dissimilarity matrix
  5. 5In a Bray-Curtis dissimilarity matrix, a low number means:
    1. AHigh dissimilarity
    2. BLow dissimilarity
    3. CHigh similarity
    4. DLow similarity
  6. 6ANOSIM is ANalysis Of SIMilarities.
    Retains philosophy underpinning [blank_start]________[blank_end], driven by [blank_start]________[blank_end].
    Hands [blank_start]________[blank_end] designs best.
    [blank_start]____________[blank_end] permutation test combined with randomisation approach to generate significance levels (Monte Carlo tests)
    Null – no difference in assemblage composition [blank_start]________[blank_end] sites.
    1. AnMDS
    2. BANOVA
    3. CPERMANOVA
    4. DSIMPER
    5. EInformation theory
    6. FHypothesis testing
    7. GSimple
    8. HComplex
    9. INon-parametric
    10. JParametric
    11. KMetric
    12. LNon-metric
    13. MWithin
    14. NBetween
  7. 7Steps for ANOSIM:
    1. Test statistic – reflects difference among sites to differences within sites. Based on rank similarities in the underlying triangular matrix, generates [blank_start]____________[blank_end].
    2. Recompute [above] under permutations of sample labels. If null is true there should be little change to [above] if labels arbitrarily assigned.
    3. Significance value – refer the observed value of [above] to permutation distribution. If it is unlikely (<5%) to fall in this distribution, reject null H
    1. AGlobal R
    2. BStress value
    3. CP value
    4. DPearson's correlation
  8. 8Which statistical test works with any distance measure that is appropriate to the data, and uses permutations to make it distribution free?
    1. APERMANOVA
    2. BANOSIM
    3. CANOVA
    4. DSIMPER
  9. 9Which statistical test calculates % contribution of each species to the dissimilarities between all pairs of sampling units in different groups and % contribution to similarities between all pairs within groups?
    1. ASIMPER
    2. BPERMANOVA
    3. CANOVA
    4. DANOVASIM
  10. 10Which one is capable of working with more complex designs?
    1. APERMANOVA
    2. BANOSIM

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Descripción
Module 3, Lecture 4 Headings: • Hypothesis testing • nMDS • ANOSIM • SIMPER
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Creado el 11 nov 2018 · actualizado el 12 nov 2018
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