Math: Question from KAPLAN (statistics)

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The discussion centers on interpreting a statistics problem regarding a survey of 1,600 adults, where 48% indicated television as their primary news source, with a margin of error of ±2.5%. Participants clarify that the task is to identify which of the provided percentages (45, 47, 49, 50) falls outside the margin of error range of 45.5% to 50.5%. The conversation emphasizes understanding the significance of the margin of error in estimating population parameters based on survey results. It is noted that the margin is treated as a fixed number of percentage points rather than a percentage of the percentage value. Comprehensive understanding of these statistical methods is deemed essential for real-world applications.
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Homework Statement
In a survey of 1,600 adults in the United States, 48% indicated that television is their primary source of news. The margin of error for the survey is ±2.5%. Which value is outside the interval that is likely to contain the exact percent of all adults in the United States who get the news primarily from television?

A. 45

B. 47

C. 49

D. 50
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What exactly is the problem statement? what are they asking us to find?
 
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Kaushik said:
Homework Statement:: In a survey of 1,600 adults in the United States, 48% indicated that television is their primary source of news. The margin of error for the survey is ±2.5%. Which value is outside the interval that is likely to contain the exact percent of all adults in the United States who get the news primarily from television?
A. 45
B. 47
C. 49
D. 50
Kaushik said:
What exactly is the problem statement? what are they asking us to find?
You gave the problem statement. They are asking you to find a number that isn't within the margin of error. For example, if a length is measured as 130 cm, with a margin of error of 5cm, it means that the true length is somewhere between 125 cm. and 135 cm.
 
Except they gave a percentage margin of error, so you need to calculate the range of credible answers, then see which of these is not in that range.
 
that is likely to contain the exact percent of all adults in the United States who get the news primarily from television?
What exactly does this (second part) mean?

ik that it is trivial, but I would love to understand it rather than 'ignoring' it.
 
Kaushik said:
What exactly does this (second part) mean?

ik that it is trivial, but I would love to understand it rather than 'ignoring' it.

The assumption is that there is a well-defined percentage of adults in the US who get their news primarily from TV. This might be 1%, 10%, 50%, 99% or even 100%.

But, a survey is done that estimates that percentage as 48%, with a 2.5% margin of error. That narrows things down and rules out things like 1%, 10%, 99%.

Which of the percentages given (45, 47, 49, 50) is ruled out by the survey?
 
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Let me flesh this out just a little. If they could survey everybody in the US then they could provide a certain answer to the question "what percentage ...".e.g. say 47.785%. But it is impractical to ask everyone so you ask what is hopefully a representative sample. The sample is never exactly representative but the bigger the sample the better. Through statistical methods it is possible to put bounds on how likely it is that your sample differs from the actual population. Hence the question statement.
These methods are extraordinarily powerful and useful in real world problems be it counting people or producing widgets. They are well worth comprehensive understanding.!
 
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scottdave said:
Except they gave a percentage margin of error, so you need to calculate the range of credible answers, then see which of these is not in that range.
It is not made clear, but I think the given margin is as a number of percentage points, not a percentage of a percentage value.
 
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haruspex said:
It is not made clear, but I think the given margin is as a number of percentage points, not a percentage of a percentage value.
I was wondering about that. Now that I think about it, the way you word it makes sense, in this situation.
 
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