Answer:
B. At what rate do the mitochondria of the cell need to convert glucose to usable energy molecules to meet the high energy needs of the cell?
Explanation:
Organelles are specific in their functioning and hence, each organelle contributes its own quota to the cell's proper functioning. According to the question, a muscle tissue is being worked on to determine the effect of a missing or damaged organelle on its cell.
Mitochondria are organelles found in all eukaryotic living cells. They are the organelles responsible for the synthesis of ATP (energy) used by the cell as a result of the glucose that gets converted in them during cellular respiration.
Therefore, to determine if the muscle cells are functioning properly, the question that: At what rate do the mitochondria of the cell need to convert glucose to usable energy molecules to meet the high energy needs of the cell? should be asked.
Note that, Chloroplast and cell wall are not found in muscle cells, which is an animal cell. Likewise, ribosomes are not organelles for synthesis of glucose.
Answer:
The correct answer is - 11.25
Explanation:
Given:
Average weight gain between weeks 2 and 4 = 10 grams
The narrow-sense heritability of the weight gain between 2 and 4 weeks
= 25%
Then
Average weight gain would be expected among the offspring of parents whose average gain was 15 grams-
by the formula:
Average weight gain between weeks + (h) (Average weight gain between weeks - parents average gain )
= 10 + 0.25 (15-10)
= 10 + 0.25 (5)
= 10 + 1.25
= 11.25
Thus, the correct answer is - 11.25
This uses the suns energy instead of using fossil fuels. For instance solar panel.
Let a be Q, all which is homozygous recessive = Q∧2
A = p, AA which is homozygous recessive = Q∧2
2pq = heterozygous
It is derived from p+ q = 1
All those in a population which is Q = 20%
All A in the population (p) = 80%
Now that the disease is homozygous recessive therefore,
aa = qq or q × q = 0.20 × 2 = 4%
Then the answer is 4%.
Hi!
One of the ways we make sure data is reliable is by repeating and replicating experiments.
If we consistently get the same results, then this means that the data is both credible and reliable.
Hopefully, this helps! =)
