Answer:
In the group of terms, the exception to abiotic factors is bacteria (option b).
Explanation:
Abiotic factors correspond to the elements of an ecosystem that are not considered alive, such as soil, wind, temperature, pH, among others.
All living beings in an ecosystem are biotic elements, including microorganisms such as bacteria. The dynamics of living beings influence the ecosystem, just as abiotic factors influence both the biotic elements and the development of the ecosystem.
The Prey-Predator relationship is the type of ecological relationship between wolf and moose populations on Isle Royale.
<h3>What do you mean by Ecological relationship?</h3>
The Ecological relationship may be defined as the interaction between the members of one species with respect to the members of the other in response to food, shelter, and space.
Moose are herbivores and the prey of wolfs. It is clearly seen in the graph that when the population of wolves increases, the number of moose decreases. It states that wolfs feed on moose.
Therefore, the Prey-Predator relationship is the type of ecological relationship between wolf and moose populations on Isle Royale.
To learn more about Ecological relationships, refer to the link:
brainly.com/question/2240608
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This diagram could represent a B.
protein because if you look at the bonds you will see an R group and R groups are typically found in proteins.
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compare<span> and/or </span>contrast relationships between organisms<span>, </span>such as mutualism<span>, </span>predation<span>, parasitism, </span>competition, and commensalism<span>. Students will describe and/or explain the roles </span>of<span> and </span>relationships among<span> producers, consumers, and decomposers in the process </span>of<span> energy transfer in a food web.
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Answer: 20 ± 11.32
Explanation: <u>Confidence</u> <u>Interval</u> (CI) is an interval of values where there is a % certainty the true mean value lies in. For example, a 95% CI means there is a 95% certainty the true mean value lies in the interval.
For the data set 2, z-value for 95% confidence interval is z = 1.96
Formula to calculate CI is
x ±
where
x is mean
z is z-value
s is standard deviation
n is the sample number
Then:
20 ± 
20 ± 
20 ± 
20 ± 11.32
The 95% CI is 20 ± 11.32, which means there is a 95% certainty the true value is between 8.68 and 31.32.