Assuming that this question makes reference to the survivability of the two moth variations, we can confirm that the brown-colored moth will be better adapted to survive in the winter months.
<h3>Why are the brown moths more likely to survive?</h3>
This has to do with their ability to better hide from predators. As described in the question, their primary predator are birds that hunt them while resting on the tree bark. This means that the white-colored moths will stand out against the dark tree bark and be easier prey for the birds. This will eventually lead to all the moths in the area being brown-colored through the process of natural selection.
Therefore, we can confirm that the brown-colored moth will be better adapted to survive in the winter months due to their ability to hide from predators.
To learn more about natural selection visit:
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Answer:
An example of an abiotic factor within an ecosystem is the air temperatures in the mountains.
Explanation:
In an ecosystem, abiotic factors refer to all those non-living elements, which depend on chemical and physical elements. Water, soil, wind, temperature, climate, minerals and soil pH are abiotic elements.
In comparison to the other statements, the one that corresponds to an environmental abiotic factor is the air temperature in the mountains, describing even two factors, <u>air and temperature</u>.
<em> The other alternatives, lion hunting the gazelle, flower growing on the vine or fish swimming in the lake represent </em><em>biotic</em><em> or living elements of an ecosystem.</em>
Statistical power is the likelihood that a test (statistical test) will detect an effect when there is an effect there to be detected. Statistical power<span> is inversely related to </span><span>the probability of making a </span>Type II error (Type II errors<span>, or </span>false negatives, occur when you don’t see things that are there) = beta<span>.
statistical power = 1 – </span>β. The critical value<span> is the </span>value corresponding to a given significance level. The statistical power<span> is </span>influenced by the choice of significance level for the test (by the critical value). Larger critical value means increased power of the test: <span> the chance of obtaining a statistically significant result is increased (reduces the risk of a </span>Type II error<span> (false negative regarding whether an effect exists) is reduced) . </span>
