Answer:
The correct answer is a. Pseudomonas aeruginosa would be colorless on EMB
Explanation:
Pseudomonas aeruginosa is a gram-positive bacteria that is rod shape. It shows a few nutritional requirements and can even adapt to those conditions in which the other bacteria can be adapt.
It is non-fermentative bacteria so it does not ferment lactose and other carbohydrates. As EMB agar contains lactose and some dye, therefore, the lactose fermenting bacteria ferment the lactose and show good growth and color change.
But as Pseudomonas aeruginosa is a non-fermentative bacteria it does not ferment lactose and does not show any color and forms a colorless colony. Therefore the correct answer is a.
The two sentences which use coordinate adjectives include:
- The dark, musty cellar was full of mice.
- The dark-haired, hazel-eyed baby was gurgling happily.
<h3>What are Coordinate adjectives?</h3>
These are words which describe the features of the same noun and is usually separated by a comma.
Options A and C have coordinate adjectives such as 'dark' and the 'dark-haired' respectively.
Read more about Coordinate adjectives here brainly.com/question/14242023
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I don't know what your question is but if you're wondering what is called when water changes from a gas to a liquid phase the answer would be Condensation
1. Atmosphere
2.terrestial biosphere
3. Ocean
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
brainly.com/question/26561565
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