Answer:
According to the diagram, what is occurring in step 7 is cytokinesis, with the separation of two daughter cells, following cell division.
Explanation:
Cytokinesis is a process that occurs at the end of mitosis or meiosis, being the final step of cell division. This mechanism allows the <u>separation of the two daughter cells</u>, with equal distribution of cytoplasm and formation of cell membrane, differentiating into two independent cells.
In the diagram it can be observed (step 7) that after the division process —in yellow— two arrows pointing to two cells are evident, which implies the process of cytokinesis.
Prior to the cytokinesis process, karyokinesis occurs, which is the separation of nuclei and formation of the nuclear membrane.
In animal cells, karyocinesis occurs by the effect of a ring of actin and myosin that helps to force the separation. In the plant cell, the fragmoplast is formed, a septum that induces the separation of the daughter cells.
The other options are not correct because:
- <u><em>Cell growth</em></u><em> occurs in G1 phase.</em>
- <u><em>Cell preparation</em></u><em> occurs in interphase.</em>
- <u><em>DNA replication</em></u><em> occurs in S phase.</em>
- <u><em>Mitosis</em></u><em> is represented in yellow, and involves 4 phases.</em>
I have a question are you asking what are the molecules of a shark or something
The answer is because energy cannot be created or destroyed.
hope this helps!
Answer:
Consumer
Explanation:
Producers are organisms that make their own food (plants), hosts are, well, hosts for parasites, and decomposers break down dead organisms (like mushrooms), so your answer is consumer.
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Bias can happen in sampling. The propensity of a sample statistic to systematically under- or
over-approximate a population is referred to as bias.
To add, in statistics, sampling bias is a bias in
which a sample is collected in such a way that some members of the
intended population are less likely to be included than others.
The following are some types of biases in Statistics:
Selection bias includes individuals being more
likely to be chosen for study than others, biasing
the sample. This can also be termed Berksonian bias
In statistical hypothesis testing, a
test is said to be unbiased if for some alpha level (between 0 and
1), the probability the null is not accepted is less than or equal to the alpha
level for the entire parameter space defined by the null hypothesis, while the
probability the null is rejected is greater than or equal to the alpha level
for the entire criterion space interpreted by the alternate hypothesis.
