Answer:
A. flavor of an apple from a particular tree
Explanation:
edge
Answer:
The correct answer is D. maintain membrane fluidity through its disruption of fatty acid packing.
Explanation:
<u>Cholesterol</u> is a steroid lipid and is a constituent of biological membranes. It regulates the <em>fluidity</em> of the membrane (so, option C is not correct). Since cell membranes are composed of another type of lipids, the phospholipids, which form a bilayer, cholesterol distributes between the phospholipid tails and avoids these molecules pack each other forming rigid clusters. Thus, the option which better explains the effect is <em>D. maintain membrane fluidity through its disruption of fatty acid packing.</em>
Answer:
The correct answer is option D. Light and some other factors are necessary for chlorophyll production
Explanation:
By this experiment, it is clear that light is the major factor that helps in the production of chlorophyll in seedlings or plants. In this study, placing the seeds in the light turns 75 seedlings green which is possible by the production of the green pigment, chlorophyll only. So, it is proved that light is a key factor in the production of chlorophyll.
Besides light, there must be some other factors (mineral nutrition and chemical metabolites) that also play role in the production of chlorophyll or increase or decrease of the chlorophyll production as few seedlings did not turn green in the study.
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