The anoles that changed were the descendants of the anoles studied four years earlier by Losos.
<h3>What is natural selection?</h3>
Natural selection is a term that refers to the evolutionary process that is based on the principle that establishes the survival of the fittest or the preponderance of the law of the strongest in a natural environment without external intervention.
In natural selection, the least fit or weakest individuals perish and their traits are not transmitted to the following generations by not reproducing.
According to the above, it can be inferred that the traits of the weak or less fit organisms studied four years earlier were not transmitted to the following generations, so the organisms studied by Losos four years later are not the same, but the offspring of The originals.
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Answer:
Krypton is a noble gas, so it was difficult for chemists to find it, as though it was a secret.
Explanation:
Krypton (₃₆Kr), an element with atomic number 36, belongs to group 18 on the periodic table of elements. This group is a specific one - it's made up of elements known as noble gases. Besides krypton, these elements are: helium, neon, argon, xenon, and radon. All noble gases were characterized relatively late compared to other elements. They all conduct electricity, fluoresce, and are odorless and colorless. Besides that, they have very low chemical reactivity. Because of their stability, they are often used to maintain a safe, constant environment. As krypton shares all of these characteristics, it was difficult for chemists to find it. That's why it was most likely given that name.
Answer:
the mass of the ball of least
Explanation:
Answer:
depends how perceptible a person is and if they are influenced easily
Explanation:
Using the Central Limit Theorem, it is found that the valid conclusion is given as follows:
The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.
<h3>Central Limit Theorem</h3>
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the sampling distribution is also approximately normal, as long as n is at least 30.
In this problem, we have a skewed variable with a sample size less than 30, hence the Central Limit Theorem cannot be applied and the correct conclusion is:
The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.
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