<span><em>Whether living or non living:</em>
<em>When you put a sample of tissue under a microscope, if u can see a cell membrane, and can identify some cell structures like nucleus, mitochondria, vacuoles etc. , it was living, if not, its a non living thing.</em></span>
<span><em>However some cells don't have a nucleus( eg. prokaryotic cells), but all cells have a cell membrane or some sort of protective covering to contain the cell's insides. </em></span>
<span><em>To check if your specimen maybe-once living, maybe-still living "something", is living, get a look at it through an electron microscope - thats the best microscope ever- and see if the mitochondria's making any ATP( adenosine triphosphate, source of energy for most organisms), if it does, its living. If not, no</em></span><em>n living. :)</em>
Answer:
The options are
Complex
Identical
Inconsistent
Non-testable
The Answer is Identical
Explanation:
The groups of scientists in different parts of the world who are dating fossils found in a rock layer of the same geologic time period. The findings have to have some common characteristics which links it to being in the same geologic time period.
This however validates the fossils having to be identical to match those found in other parts of the world.
The main purpose is protection. The lipid bilayer protects the cell from viruses and other threats to the cell. It also maintains homeostasis within the cell by monitoring the amount of substances the enter or exit the cell.
Natural landscapes such as forests, the soil absorbs much of the stormwater and plants help hold stormwater close to where it falls. In developed environments, unmanaged stormwater can create two major issues: one related to the volume and timing of runoff water (flooding) and the other related to potential contaminants that the water is carrying (water pollution).
Answer:
The sample mean is obviously different from the population mean, but tests of significance must be done to determine if the difference is statistically significant. The difference could possibly be attributed to chance or to sampling error.
Explanation:
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