Answer:
C. Darwin realized this also applied to plant and animal populations, and this struggle for existence resulted in an opportunity for natural selection to act on differences within populations.
Step-by-step explanation:
Thomas Malthus in his Malthusian theory of population concluded that since population increases geometrically and resources only increase arithmetically, there will reach a point in time when the resources will be not be able to sufficiently cater for the population.
The Charles Darwin theory of Evolution is based on five key observations and conclusions drawn from them. These observations and inferences are summarized as:
- Species are more fertile. They birth more offspring than can grow to adulthood.
- Populations remain fairly stable with miniscule fluctuations.
- Food resources are limited, but are relatively constant most of the time.
<em>Based off these observations, it is seen that there will be a </em><u><em>struggle</em></u><em> amongst the members of the specie for the </em><u><em>limited resources.</em></u>
- In sexually reproducing species, generally no two individuals are identical. Variation is rampant.
- Much of this variation is heritable.
<em>From the last two observations, the species that survive then pass on their traits to their offspring and the cycle repeats itself with each subsequent generation being </em><u><em>better evolved</em></u><em> than the previous ones.</em>
Thus, Darwin discovered that the Malthusian theory of population also applies to plant and animal populations where <u>scarcity of resources</u> gives room for <u>natural selection</u> to take place due to the variation within populations.
Answer:
ac
Step-by-step explanation:
i think the answer is ac
Where the variance is 0.32, the mean is 0.40, and there are provided sets of probabilities, the standard deviation will be 0.566.
<h3>What is standard deviation?</h3>
The average degree of variability in your dataset is represented by the standard deviation. It reveals the average deviation of each statistic from the mean. In general, values with a high standard deviation are spread out from the mean, whereas those with a low standard deviation are grouped together close to the mean.
Here,
mean=0.4
variance=(Xn-mean)².P(x)n
=(0-0.4)²*(0.64)+(1-0.4)²*(0.32)+(2-0.4)²*0.04
variance=0.32
Standard deviation=√(variance)
=√0.32
=0.566
The standard deviation will be 0.566 where variance in 0.32 and mean is 0.40 and given sets of probability.
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There might be typo error. The probability of any quantity is always less than or equal to 1. So, the probability is not possible. It should be .
Answer:
It means that the probability of getting a yellow or blue ball is 0.6.
Step-by-step explanation:
Given:
Y = set of yellow balls
B = set of blue balls
Therefore, the union of both the balls is given by the set Y U B.
The set Y U B represents the set that contains either yellow balls or blue balls but do not contain those balls that have both yellow and blue on them.
So,
Now, if , it means that the probability of getting a ball that has either yellow or blue on it is 0.6. In other words, if there are 100 balls, then the chances of getting a ball having either yellow or blue on it is 60%.
Answer:
no solution
Step-by-step explanation: