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AlladinOne [14]
3 years ago
5

UITIVEise dlu

Biology
1 answer:
Roman55 [17]3 years ago
6 0

Answer:

14 bilion years old

Explanation:

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What are formed as river channels change
Llana [10]

Natural channels. Natural channels are formed by fluvial process and are found across the Earth. These are mostly formed by flowing water from the hydrological cycle, though can also be formed by other fluids such as flowing lava can form lava channels.

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3 years ago
Help me please, I’m not sure which one to choose.
vladimir1956 [14]

Answer:

<h3><em>Pretty sure it is </em><u><em>3/4</em></u><em> or </em><u><em>A</em></u></h3>

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3 years ago
What are the hair cells and what are their functions?
Alex17521 [72]

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D, Afferent (primarily outer hair cells) are the most important sensory transducers. Efferent (primarily inner hair cells) are under feedback and “motor control.”  is correct

4 0
3 years ago
Which example best represents the use of creativity in scientific inquiry?
patriot [66]
Scientific inquiry when a student would find ideas and gather thoughts on a topic and think about it in depth. An example would be to gather ideas on how animals live in a certain park more than another. 
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4 years ago
Imagine you are surveying a population of a mountain range where the inhabitants live in the valleys with no inhabitants on the
Marta_Voda [28]

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>

<u />

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

6 0
3 years ago
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