The reader's reaction to the presentation of events according to me will be Sympathy for Mrs. Pontellier's circumstances.
For better understanding, let us explain what sympathy means
- Sympathy is simply referred to as when a way an individual uses t relate to someone e.g have walked in their shoes. It shows that you understand the depth of what they may be going through and your heart goes to them.
- Sympathy for Mrs. Pontellier's circumstances simply means the reader understand what she was passing through and feels sorry for the circumstances she is currently facing.
from the above, we can therefore say that the answer The reader's reaction to the presentation of events according to me will be Sympathy for Mrs. Pontellier's circumstances is correct
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If your driver license is suspended for too many points, we need to show a <u>proof of liability </u><u>insurance</u>.
What do you mean by insurance?
<u>Managing your risk is possible with </u><u>insurance</u><u>. The protection against unforeseen financial losses you </u><u>purchase</u><u> when you </u><u>purchase</u><u> </u><u>insurance</u>. If something bad happens to you, the insurance company pays you or a person of your choice. If you don't have insurance and an accident occurs, you can be liable for all expenses.
<u>An </u><u>insurance</u><u> policy is a binding agreement between the insurance provider (the insurer) and the individual(s), firm, or other entity being </u><u>insured</u><u> (the </u><u>insured</u><u>)</u>. Reading your policy enables you to make sure that it addresses your needs and that you are aware of both your own and the insurance provider's obligations in the event of a loss.
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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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