<span>It is separated from the external ear by the
eardrum.</span>
Answer:
It is often assumed that the moon is a perfect sphere, which it is not. The side of the moon facing earth is more dense than the side facing away. Therefore, it takes energy for the moon to rotate its earth-facing side away from the earth. Such energy is not currently available, so the same side always faces earth, caught in earth’s gravity.
Explanation:
Hope this helps you a lot my boo!
Answer:
The oxygen dissociation curve represents the percentage saturation of Hb with oxygen at different partial pressure of oxygen. The different partial pressures gives sigmoid shapes to the curve. When this curves shifts to right, it indicates low affinity or binding of oxygen by the Hb. it also indicates the unloading or releases of Oxygen by Hb molecules at condition of low pressure. e,g in the muscles during strenuous exercise.However, when the curve shifts to the left, this indicate high affinity for oxygen, great binding, at high partial pressure of oxygen.e,g in the lungs to take oxygen and releases CO2.
Therefore in this scenario, the statement -. <u>During strenuous exercise, the oxygen-hemoglobin dissociation curve shifts to the right.</u> is correct. because oxygen is needed by the muscles therefore ,oxygen should be less binded by Hb, decrease affinity and easily unloaded to muscles.
<u>The statement </u>This rightward shift reflects an increase in the affinity of hemoglobin for oxygen and favors loading of O2 into hemoglobin in the lungs is wrong.
As explained above the rightwards shift indicated low affinity of Hb for oxygen(unloading)and favours unloading at the muscles because during strenuous exercise the partial pressure of oxygen is very low(but that of CO2 high) in the muscles which favours low oxygen molecules binding by Hb, and easy release to respiring cells.
Explanation:
Answer:
The correct answer would be d) summarized data.
The summarized data gives the quick and easy description of all the observations obtained in the experiment.
The data can be summarized using different categories such as the total of the observations, frequency of the observations, mean value, variation et cetera.
It helps in deducing any conclusion from the observations such as the pattern of increase or decrease in the biological activity.