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
Answer:
to organize them and speak about them accurately
Explanation:
There are millions of species that exist on Earth. Many of them are yet to be discovered. They are named and classified into specific groups. This helps in organizing each specie according to the characteristics, and traits. The classification is done to show the hierarchy and focuses on the relationships that the organisms possess with other organisms about evolution. Classification helps in identifying and analyzing any specific specie accurately and particularly.
Answer:
Humans' internal body temperature is a great example of homeostasis. When someone is healthy, their body maintains a temperature close to 98.6 degrees Fahrenheit (37 degrees Celsius). Being warm-blooded creatures, humans can increase or decrease temperature internally to keep it at a desirable level.
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