Answer:
60,000 buffalo
Explanation:
This question is incomplete, I attached the options.
35,000
55,000
60,000
65,000
Buffalo numbers in the study area were estimated using total aerial photographic counts, the estimation was made it in Mara Serengeti ecosystem (25 000 km2), buffalos have other problems apart of bubonic plague, like climate change, competition, disease, food limitation, land-use change, predation.
Assume the population growth of Serengeti buffalo graph, before the rinderpest there was a capacity of 50,000 buffalos, but there was a bubonic plague epidemic, then two years and half, only there were a capacity less than 30,000.
After the virus was eliminated the graph show growth, in 6 years there were more than 60,000 buffalos, in more eleven-year, there were exactly 60,000 buffalos.
Yes, the region is probably experiencing climate change. This is due to impact of several practices that humans do to the environment. The melting of the polar ice caps and the direction of the wind passes through these states affecting or changing its weather. If humans keep doing this mother nature, humans will be left with a planet that's constantly changing and possibly inhabitable.
The most serious type of accident which could occur at a nuclear power plant is <span>core meltdown caused by a failure of water to circulate among the fuel rods.
This is what happened in F.ukushima, Japan, in 2011, after a series of devastating earthquakes and tsunamis. This is why F.ukushima is still experiencing extremely high levels of radiation and parts of that area cannot be inhabited anymore.
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Answer:
C
Explanation:
0.20-0.10=0.10
because the population was decreased
The probability that neither of them is a heavy smoker is 0.53 or 53%
<h3>What is genetic probability?</h3>
Probability serves to mathematically estimate the possibility of events that happen by chance, that is, as a matter of luck.
In this case:
Probability that selected one is heavy smoker is:
p=270/1000=0.27
Number of individuals selected is 2 and We know that:
P(X=x)=nc_x(1-p)^{n-x}(p)^x
We need to prove that X=0:
P(X=0)=nc_0(1-0.27)^{2-0}(0.27)^0
P=0.5329
See more about genetic probability at brainly.com/question/851793
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