Answer:
Cell phones emit radiofrequency energy, a form of non-ionizing electromagnetic radiation, which can be absorbed by tissues close to the phone. The amount of radiofrequency energy a person is exposed to depends on the frequency of the signal and the amount of time they spend on the phone. The Federal Communications Commission (FCC), the International Agency for Research on Cancer (IARC), and the American Cancer Society (ACS) all agree that more research is needed to determine the possible health effects of cell phone use. So far, there is no scientific evidence that proves that cell phone use causes cancer. Some studies have suggested a possible link between cell phone use and cancer, but more research is needed to confirm these results. The ACS does not recommend limiting cell phone use because the risk of cancer is still unknown.
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Explanation:
Spoons are metal and to find metal bonds you need to use I microscope
Answer:
A coral reef can be described as an ecosystem of the ocean which is made up by reef-building corals. Coral reefs benefit the environment in a number of ways, one of them is protecting the shoreline. <em><u>Coral reefs tend to absorb most of the waves from the ocean and so help the coastline from erosion. It reduces the chances of ocean water waves to destroy the crops and buildings nearby and hence prevents erosion. </u></em>
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Answer:
there r not only 2 types of nests
Cup nest.
Adherent nests.
Platform nests.
Earth-hole nests.
Ground and mound nests.
Scrape nests.
Explanation:
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
