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

Click For Summary

Homework Help Overview

The discussion revolves around calculating a 95% confidence interval for the mean weight of a sample of potatoes, specifically addressing the use of standard deviation in this context.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the distinction between population standard deviation and sample standard deviation, questioning why the standard deviation of the sample mean is used in the calculation of the confidence interval.

Discussion Status

Some participants have provided clarifications regarding the relationship between standard deviation and the standard error of the mean. There is ongoing exploration of the definitions and implications of these terms, but no consensus has been reached.

Contextual Notes

Participants note confusion regarding the terminology and the application of standard deviation versus standard error in the context of confidence intervals.

Gregg
Messages
452
Reaction score
0

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!
 
Physics news on Phys.org
\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.
 
Last edited by a moderator:
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?
 
Last edited by a moderator:
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.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 22 ·
Replies
22
Views
4K
  • · Replies 4 ·
Replies
4
Views
3K
Replies
4
Views
2K
Replies
2
Views
5K
  • · Replies 7 ·
Replies
7
Views
4K