Help with making a two sided confidence interval

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Discussion Overview

The discussion revolves around calculating a two-sided confidence interval for the mean difference in measurements of screw diameters using statistical methods. Participants are exploring the correct approach to compute the standard deviation and confidence interval based on provided frequency distribution data.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant presents a frequency distribution and seeks help in calculating a 90% confidence interval for the mean difference.
  • Another participant suggests that the standard deviation calculated by the original poster is incorrect, proposing a different value.
  • The original poster mentions using an online calculator for the standard deviation and expresses confusion over the results.
  • A later reply confirms the calculations of the confidence interval using the corrected standard deviation and questions the accuracy of the book's answer.
  • Another participant shares their results from running a statistical test in R, which aligns with the calculations of the previous participant.

Areas of Agreement / Disagreement

Participants generally agree on the method of calculating the confidence interval but disagree on the accuracy of the standard deviation and the book's provided answer. Multiple competing views on the correct standard deviation exist.

Contextual Notes

There are unresolved issues regarding the calculation of the standard deviation and the potential rounding errors in the book's answer. The discussion reflects uncertainty about the correct approach to the problem.

ldlafountain
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I am working on a problem for my Statistics class and I am looking for some clarification and some direction.

The questions asks about a study that has been done on the diameter of 50 screws (both digital and vernier scale calipers). The differences in the measured diameters had the following frequency distribution.

Difference: Frequency:
-0.03 1
-0.02 3
-0.01 11
0.00 19
0.01 10
0.02 6

I am then asked to make a 90% two sided interval for the mean difference in digital and vernier readings.

So naturally I find the mean of all of the differences by adding up all the differences (by their frequencies) and I get 0.004 as my mean and 0.1148 as my standard deviation. Next I would try and find the t-value for Q(.95) (because we are using a 90% two sided confidence interval). I had to look it up online I came up with 1.677. I would plug this all into the following equation:

x-bar (plus-minus) t*(s/sqrt(n))

I have tried this multiple times and I keep obtaining the wrong intervals. According to the back of my book I should obtain the answer [-0.0023,0.0031], but I come nowhere near. Can anyone help me? If there is something wrong with my math or the way I set up the problem, please let me know. I am thankful for any help.
 
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Hi Idlafountain! Welcome to MHB! :)

I can tell that your standard deviation is wrong. Looking at the data we can see that it should be about 0.01.
How did you calculate it?
 
Honestly, I plugged all of the numbers into a standard deviation calculator online. I actually used the one from mathisfun.com. I got the mean the same way. But what could the standard deviation be. I understand how it is calculated, but I am still having issues.
 
ldlafountain said:
Honestly, I plugged all of the numbers into a standard deviation calculator online. I actually used the one from mathisfun.com. I got the mean the same way. But what could the standard deviation be. I understand how it is calculated, but I am still having issues.

Perhaps a typing mistake? Perhaps there should be a zero after the decimal point?
Or else use a different calculator.

Btw, the remainder of your calculation is fine.
 
So I double checked my calculation on standard deviation and I got 0.0116.

So to plug it all in, I should be able to use:

.0004(plus/minus) 1.677 * (0.0116/sqrt{50})

I got the 50 from my sample size and I got the 1.677 from a t-value chart. After plugging this in, I do not get the answer I a supposed to get in the back of the book. Any ideas?
 
ldlafountain said:
So I double checked my calculation on standard deviation and I got 0.0116.

So to plug it all in, I should be able to use:

.0004(plus/minus) 1.677 * (0.0116/sqrt{50})

I got the 50 from my sample size and I got the 1.677 from a t-value chart. After plugging this in, I do not get the answer I a supposed to get in the back of the book. Any ideas?

Calculating what you have, I get:
$$0.0004 \pm 1.677 \cdot (0.0116/\sqrt{50}) = [-0.0023508, +0.0031508] \approx [-0.0024, +0.0032]$$

Isn't that what your book's answer is?
(That is, the book seems to have made either a rounding error, or a slight mistake in calculating the standard deviation.)
 
I just wanted to add that I get the same thing as ILS (after rounding) when running this in R.
Code:
data <- c(-0.03,rep(-0.02,3),rep(-0.01,11),rep(0,19),rep(0.01,10),rep(0.02,6))
t.test(data,conf.level=0.9)

The 90% CI is $(-0.002350061,0.003150061)$ and the SD is $0.01159873$. :)
 

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