Smooth Transitions between Compartments The force that a fluid applies against a wall—hydrostatic pressure—is what moves fluid between compartments.
<h3>Where is fluid compartment?</h3>
Water makes roughly 60% of the adult human body, which is composed of intra- and extracellular fluid compartments. Extracellular fluid, which makes up 13 of the body's water, is found outside of cells. Two-thirds of the water in the body is found inside the mitochondria and is known as intracellular fluid.
<h3>Which body fluid compartment has the least fluid?</h3>
The fraction of fluid volume that is present in the gaps bordered with epithelial cells is known as transcellular fluid. It is the tiniest part of extravascular space, which also consists of plasma and interstitial fluid. Although it is often not expressed as a percentage of extracellular fluid, the body water content is around 2.5%.
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The best description of Steffens' purpose in writing about government is:
- <u>B. to describe corruption in city and state governments</u>
<u />
According to the quotation from Lincoln Steffen's The Shame of the Cities, we are told that the author feels that the shamelessness of the American people would cause the downfall of the "American pride".
As a result of this, the most likely purpose of writing this is to show the level of corruption which is prevalent in the city and state governments to spur the citizens to revolt against the corruption.
Therefore, the correct answer is option B
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Using the Central Limit Theorem, it is found that the valid conclusion is given as follows:
The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.
<h3>Central Limit Theorem</h3>
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean 
and standard deviation 
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation 
.
For a skewed variable, the sampling distribution is also approximately normal, as long as n is at least 30.
In this problem, we have a skewed variable with a sample size less than 30, hence the Central Limit Theorem cannot be applied and the correct conclusion is:
The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.
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