The 95% margin of error simony states that there is a 95% probability that the confidence interval contains the true population mean.
<h3>What is a margin of error?</h3>
It should be noted that the margin of error simply means a measurement that accounts for the difference between the actual result and the projected result in a survey sample.
In this case, the 95% margin of error simply states that there is a 95% probability that the confidence interval contains the true population mean. This is the radius of the 95% confidence interval.
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Answer:

Step-by-step explanation:
To find this derivative, we will need to use the chain rule.
As there is a variable in the exponent we can use this formula:

In this case,
and 
This means that
and
respectively
This gives us 
Answer:
Since both values are negative, it can be found in the 3rd quadrant
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