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Quiz by Michael Jardine, created more than 1 year ago

Module 3, Lecture 6 Headings: • Rarefaction • Bayesian approaches • Frequentists vs Bayesians

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biol
biol2022
mathew
2018
2018 sem 2
biol2022
biol2022 module 3 - mathew

	Created by Michael Jardine about 6 years ago

15960243

quiz

2018-11-11T04:01:47Z

BIOL2022 L24 Rarefaction and Diversity

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Question 1 of 7

The process of comparing different sized subsamples to determine whether enough information has been collected is called:

Select one of the following:

Rarefaction
SIMPER
Parsimony
‘Strength of Evidence’

Explanation

Question 2 of 7

True or false: Rarefaction standardises unequal sample sizes by effectively bringing the largest down to the smallest.

Select one of the following:

True
False

Explanation

Question 3 of 7

True or false: Rarefaction standardises unequal sample sizes by effectively bringing the smallest up to the largest.

Select one of the following:

True
False

Explanation

Question 4 of 7

Select from the dropdown list to complete the text.

Differentiating between accumulation and rarefaction curves (individual and sample-based):
- Accumulation: total # of spp during process of data collection
- Rarefaction: repeatedly subsampling ( Without, With ) replacement from the data (progressive data reduction)

Explanation

Question 5 of 7

Select from the dropdown list to complete the text.

Chao estimators are ( Parametric, Non-parametric, Metric, Non-metric ) estimators for species richness.

Explanation

Question 6 of 7

What does this table describe?

Select one of the following:

A Classical approach
A Bayesian approach

Explanation

Question 7 of 7

What does this table describe?

Select one of the following:

A Classical approach
A Bayesian approach

Explanation

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15960243

quiz

2018-11-11T04:01:47Z

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Module 3, Lecture 6 Headings: • Rarefaction • Bayesian approaches • Frequentists vs Bayesians

BIOL2022 L24 Rarefaction and Diversity

Question 1 of 7

The process of comparing different sized subsamples to determine whether enough information has been collected is called:

Select one of the following:

Explanation

Question 2 of 7

True or false: Rarefaction standardises unequal sample sizes by effectively bringing the largest down to the smallest.

Select one of the following:

Explanation

Question 3 of 7

True or false: Rarefaction standardises unequal sample sizes by effectively bringing the smallest up to the largest.

Select one of the following:

Explanation

Question 4 of 7

Select from the dropdown list to complete the text.

Differentiating between accumulation and rarefaction curves (individual and sample-based): - Accumulation: total # of spp during process of data collection - Rarefaction: repeatedly subsampling Without With( Without, With ) replacement from the data (progressive data reduction)

Explanation

Question 5 of 7

Select from the dropdown list to complete the text.

Chao estimators are Parametric Non-parametric Metric Non-metric( Parametric, Non-parametric, Metric, Non-metric ) estimators for species richness.

Explanation

Question 6 of 7

What does this table describe?

Select one of the following:

Explanation

Question 7 of 7

What does this table describe?

Select one of the following:

Explanation

Differentiating between accumulation and rarefaction curves (individual and sample-based):
- Accumulation: total # of spp during process of data collection
- Rarefaction: repeatedly subsampling ( Without, With ) replacement from the data (progressive data reduction)

Chao estimators are ( Parametric, Non-parametric, Metric, Non-metric ) estimators for species richness.