How Do You Calculate a 95% Confidence Interval for Potato Weights?

AI Thread Summary
To calculate a 95% confidence interval for the mean weight of potatoes, the sample mean is 234 grams with a standard deviation of 25.1 grams. The standard error is calculated as the sample standard deviation divided by the square root of the sample size, resulting in 25.1/√50. This leads to a confidence interval of approximately 227 to 241 grams, using a z-score of 1.96 for 95% confidence. The distinction between population standard deviation and standard error is crucial, as the latter reflects the variability of the sample mean. Understanding these concepts is essential for accurate statistical analysis.
Gregg
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Homework Statement




3 (a) A sample of 50 washed baking potatoes was selected at random from a large batch.
The weights of the 50 potatoes were found to have a mean of 234 grams and a standard
deviation of 25.1 grams.
Construct a 95% confidence interval for the mean weight of potatoes in the batch.
(4 marks)


Homework Equations



\bar{x} = \mu

s = \frac{\sigma}{\sqrt{n}}


z = \frac{x-\mu}{s}

The Attempt at a Solution



The confidence interval 95% means p = 0.975

z = \frac{x-\mu}{s}


\pm 1.96 = \frac{x-234}{\frac{25.1}{\sqrt{50}}}


\Rightarrow 227-241

Why is the standard deviation

s = \frac{25.1}{\sqrt{50}}

and not just 25.1. The question states that the s.d. is 25.1!
 
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\frac{\bar{x} - \mu}{\frac{s}{\sqrt{n}}} is approximately N(0,1) for large n (assuming that the original distribtuion is not skewed)
 
Why is the standard deviation

s = \frac{25.1}{\sqrt{50}}

and not just 25.1. The question states that the s.d. is 25.1!

There are two things going on here. On the one hand there are the population standard deviation (\sigma and sample standard deviation s. On the other is the standard deviation of the mean, which is defined as:
\sigma_{mean} = \frac{\sigma}{\sqrt{n}}

The wikipedia article here--http://en.wikipedia.org/wiki/Standard_deviation--talks about the st. dev. of the mean in the section titled Relationship between standard deviation and mean.
 
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Mark44 said:
There are two things going on here. On the one hand there are the population standard deviation (\sigma and sample standard deviation s. On the other is the standard deviation of the mean, which is defined as:
\sigma_{mean} = \frac{\sigma}{\sqrt{n}}

The wikipedia article here--http://en.wikipedia.org/wiki/Standard_deviation--talks about the st. dev. of the mean in the section titled Relationship between standard deviation and mean.
That's what's confusing, the standard deviation of the mean is the same as the standard deviation of the sample divided by root n?
 
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Gregg said:
That's what's confusing, the standard deviation of the mean is the same as the standard deviation of the sample divided by root n?

It's approximately the same.
 
s =SIGMA/SQRT(N)

STANDS FOR STANDARD ERROR NOT FOR STANDARD DEVAITION!
 
rclakmal said:
s =SIGMA/SQRT(N)

STANDS FOR STANDARD ERROR NOT FOR STANDARD DEVAITION!

The standard deviation of the sample mean is sometimes called the standard error.
 

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