How do you think scientists use differences in characteristics to organize groups?

Biology

1 answer:

Oksanka [162]2 years ago

3 0

Answer:

by looking at their physical features, the fossil record, and dna sequences

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Classify the following organisms into their respective kingdoms (i) Yeast (ii) Penicillium (iii) Rhizobium (iv) Mushroom (v) Amo

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Answer:

(i) Yeast- Kingdom Fungi

(ii) Penicillium- Kingdom Fungi

(iii) Rhizobium- Kingdom Eubacteria

(iv) Mushroom- Kingdom Fungi

(v) Amoeba- Kingdom Protista

(vi) fish- Kingdom Animalia

Explanation:

Living organisms were classified into a large group called KINGDOM, which represent the largest and most generic grouping consisting of organisms that share a few similarities. The kingdoms that living organisms were classified into are as follows: Plantae, Animalia, Fungi, Protista, Eubacteria, Archaebacteria, etc.

Based on the question, the mentioned organisms are classified into the following kingdoms:

(I) Yeast: Yeast is a unicellular microbe classified under the Kingdom Fungi due to possession of chitin in its cell wall and other similar features with members of kingdom Fungi.

ii) Penicillium- Penicillium is a genus classified under the Kingdom Fungi.

(iii) Rhizobium- Rhizobium is a genus of prokaryotic organism (lack membrane-bound nucleus and organnelles) classified under the Kingdom Eubacteria.

(iv) Mushroom- Mushrooms are saprophytic (heterotrophic) species of organisms classified under the Kingdom Fungi.

(v) Amoeba- Amoeba is a genus of unicellular eukaryotes classified under the Kingdom Protista.

(vi) fish- Fishes are organisms classified under the Kingdom Animalia

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3 years ago

Factors derived from factor analysis may themselves be interrelated. When such factors are themselves factor analyzed, the resul

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Resulting factors are called Second-order factors

<h3>What is factor analysis?</h3>

Factor analysis is a statistical approach for describing variability in seen, correlated variables in terms of a possibly smaller number of unobserved variables known as factors.
It is possible, for example, that fluctuations in six known variables mostly reflect variations in two unseen (underlying) variables.
Factor analysis looks for such joint fluctuations in response to latent variables that are not noticed.
Factor analysis may be regarded of as a specific form of errors-in-variables models since the observed variables are described as linear combinations of the possible factors plus "error" terms.
It may help to deal with data sets where there are large numbers of observed variables that are thought to reflect a smaller number of underlying/latent variables.
It is one of the most commonly used inter-dependency techniques and is used when the relevant set of variables shows a systematic inter-dependence and the objective is to find out the latent factors that create a commonality.

To Learn more about factor analysis from the given link

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2 years ago

Yellowstone National Park has 124 wolves living in it. The park covers 3472 square miles. What is the population density of wolv

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B. 0.0357 wolves/mi
Divide the wolf # by the sq.mi.

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3 years ago

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If the DNA is GAT what will be the amino acid?