Respuesta :
Answer:
A
Explanation:
The null hypothesis is otherwise known as the hypothesis of no difference. In other words, the null hypothesis assumes that there is no significant difference between two or more data from populations that are being statistically compared. This is as opposed to the alternate hypothesis that assumes that there is a statistically significant difference between the data from the population being compared.
In the illustration, it is clearly stated that a mass extinction event occurs when the rate of species extinction exceeds the background extinction rate. Hence, the data collected on the extinction rates of different mammals need to be compared with that of the background extinction rate, and only a significantly higher extinction rate of the animals can lead to the conclusion that mass extinction has occurred.
The null hypothesis, therefore, would be that there is no significant difference between the extinction rates of the various animals and the background extinction.
The correct option is A.
The correct null hypothesis is "There is no significant difference in the rate of extinction of animals between 1950-2000 in China". Option A is correct.
The null hypothesis:
It assumes that there is no difference between the two or more data that has been collected from the population and being statistically compared.
In the given scenario,
- Scientists are looking for extinction rate differences of animal species between 1950 to 2000. Hence, option A is correct.
- Scientists are looking at the data as a whole not just as individual groups. Hence options B, C, and D are incorrect.
Therefore, the correct null hypothesis is "There is no significant difference in the rate of extinction of animals between 1950-2000 in China".
Learn more about the null hypothesis:
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