The cycle runs like this:
Deoxygenated blood enters from the body to the heart via the superior/inferior vena cava. It goes directly to the right atrium and down to the right ventricle. From there it'll pass through the pulmonary artery into the lungs where diffusion will happen in the capillaries. Gas exchanges will occur and the blood will become oxygenated and return to the heart via the pulmonary vein. From the pulmonary vein it will enter back into the left atrium and then will give the final pump of oxygen rich blood into the aorta and then into the entire body.
Seed plants have an evolutionary advantage for several reasons. For one, the seeds can disperse easily. Furthermore, seeds can time their germination. For example, some seeds only germinate when they experience a period of being frozen.
Answer:
The answer is B lower pressure
Explanation:
because in cooler places its cold and warm mixed
Answer:
Photosynthesis converts carbon dioxide and water into oxygen and glucose. Glucose is used as food by the plant and oxygen is a by-product. Cellular respiration converts oxygen and glucose into water and carbon dioxide. Water and carbon dioxide are by- products and ATP is energy that is transformed from the process.
Explanation:
Imagine you are surveying a population of a mountain range where the inhabitants live in the valleys with no inhabitants on the large mountains between. If your sample area is the valleys, and you use this to estimate the population across the entire mountain range, <u>you overestimate the actual population size</u>
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Explanation:
- An estimate that turns out to be incorrect will be an overestimate if the estimate exceeded the actual result, and an underestimate if the estimate fell short of the actual result.
- The mean of the sampling distribution of a statistic is sometimes referred to as the expected value of the statistic. Therefore the sample mean is an unbiased estimate of μ.
- Any given sample mean may underestimate or overestimate μ, but there is no systematic tendency for sample means to either under or overestimate μ.
- Bias is the tendency of a statistic to overestimate or underestimate a parameter. Bias can seep into your results for a slew of reasons including sampling or measurement errors, or unrepresentative samples
