Heterotrophs are consumers, cannot make their own foods, and have some of them have the capacity to consume autotrophs. Hence, they are not at the base of most food webs.
Heterotrophs are organisms that have no capacity to manufacture their own foods, unlike autotrophs.
They depend on other organisms for their foods. Hence, they are known as consumers, unlike autotrophs that are called producers.
Heterotrophs are of different types:
- Herbivores: those that consume autotrophs only
- Carnivores: those that consume meat only
- Omnivores: those that consume both autotrophs and meat.
Thus, heterotrophs do not occupy the base of food webs. The base of food webs are mostly occupied by autotrophs, the producers.
More on heterotrophs can be found here: brainly.com/question/13420317?referrer=searchResults
C. there is an equal amount of day and night everywhere on earth.
Answer:
La meiosis se encarga de separar las cromátidas hermanas sin inducir una nueva replicación en el ADN; creando así cuatro células con la mitad de cromosomas de sus predecesoras, es decir, células haploides o gametos.
Explanation:
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Answer:
to design an experiment aimed at testing the null hypothesis. Finally, it is required to apply a statistical measure in order to reject or accept the null hypothesis
Explanations:
The scientific method consists in the first place in posing a question that can be used to explain an observation from the real world. This question needs to be subsequently explained by a working hypothesis. In this case, the working hypothesis may be "the poor performance of the students is associated with alcohol intake". Then, it is required to design an experiment in order to confirm or reject the null hypothesis. In this case, the null hypothesis would state that there is no relationship between both groups. The further experiment would consist of testing the performance of the students that consume alcohol versus students that don't consume alcohol. Finally, the results obtained from the experiment must be analyzed by using a statistical measure such as, for example, the p-value, which enables to accept/reject the null hypothesis by assessing the significance level of the results.
