The answer is D as there are fluctuations which means that changes in the population of one affects the population of the other. as prey pop increases predator pop increases leading to a decease in prey pop which causes predator pop to decrease due to lack of food then prey increases and the cycle repeats
Answer:
A blizzard can form when warm air combines with a high pressure system.
Explanation:
A high pressure zone is defined by cold air mass that has higher density than surrounding air mass. Therefore when a warm air current blows towards the high pressure system, the warm air mass rises over the cold air mass of the high pressure system.
The warm air begins to cool at the front between the cold air mass and warm air mass. Usually for a blizzard to occur the cold air mass is usually below freezing point temperatures. Therefore the moisture in the warm air cools and freezes into snowflakes. This is why the winds of a blizzard are accompanied by snowflakes akin to a winter storm.
Lean More:
For more on blizzards check out;
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Answer: water travels from high to low concentration of the solute
Electrolytes are known to
be major components pf body fluid and these electrolytes enter the body through
foods. Thus, major regulation of body fluid and electrolyte balance in the body
is through the process of osmosis. However, osmosis can be defined as the
movement of water through the semipermeable membrane from lower concentration
of solute to higher concentration of solute.
Answer:
what are you trying to ask about?
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
