1. 1000000 g
2. 62cm
3. ??
4. 8.45 ( not sure)
5. 0.825 m
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:
<em>D. Molecules are made of atoms of the same element or different elements.
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Explanation:
Molecules are made up of atoms. The atoms forming the molecule can be same or different. The size and function of the molecules vary from each other. The properties and function of atoms change as and when it forms a molecule.
The atoms combine with the help of a bond and it can be a covalent bond or ionic bond or hydrogen bond to form a molecule. The bond between the atoms gives shape to the molecule.
We may lead to a presupposition that the researcher based its analysis on the environmental habitats of the organisms, moreover it can also be the almost identical but different morphological or physiological structures. There are many ways to classify an animal or base an animal, morphology, embryology, DNA and others.
