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
The best answer would be the butterfly. Many insects go through different physical changes during growth. These insects include the butterfly. From being an egg it turned into a larva and grown into a caterpillar which later on become a butterfly.
Hey there,
The answer for that blank is 125.
Hope this helps :))
<em>~Top♥</em>
Answer:
PRODUCER uses 10000 J
HERBIVORE uses 1000 J
OMNIVORE uses 100 J
CARNIVORE uses 10 J
Explanation:
10% of the initial energy is made available for the next level.
