Answer:
The given blank can be filled with minimum viable population.
Explanation:
The MVP or the minimum viable population refers to the lowest number of individuals or the minimum density of the population of a species that can thrive in a specific region. The term is generally used in the fields of ecology, biology, and conservation biology.
The minimum viable population refers to the smallest probable size at which the population can prevail without encountering extinction due to demographic or natural disasters, genetic, or environmental stochasticity. Generally, MVP is utilized to signify towards a wild population, however, it can also be utilized for ex-situ conservation.
The right answer is facilitated diffusion.
Facilitated diffusion is a diffusion mechanism facilitated by membrane transporters. it's the spontaneous passage of molecules or ions (like the passive diffusion) through a biological membrane through transport molecules (unlike passive diffusion). This process does not consume energy (like the passive diffusion) and therefore does not involve active transportation.
Answer:
Dogs
Explanation:
That's the answer. Hope that helps.
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
No the amount varies for both but there is not an equal amount
