Chi sqaure & confidence interval

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Homework Help Overview

The discussion revolves around the application of the Chi-Squared test and the calculation of confidence intervals based on a set of observed frequencies. The original poster presents a specific set of values and seeks assistance in understanding how to derive the Chi-Squared statistic and the corresponding confidence interval.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the need for expected frequencies in the Chi-Squared test and question the setup of the problem. There is mention of calculating confidence intervals for different confidence levels, and some participants express confusion regarding the original poster's intentions and the statistical concepts involved.

Discussion Status

The discussion is ongoing, with participants providing insights into the requirements for conducting a Chi-Squared test and calculating confidence intervals. Some guidance has been offered regarding the necessary components of the tests, but there is no clear consensus on the original poster's approach or the specific calculations needed.

Contextual Notes

There is a noted absence of expected frequencies, which is critical for performing the Chi-Squared test. Additionally, the original poster's lack of recent experience with probability and statistics may be influencing the clarity of their questions.

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Lets say you have 5 trials, and 5 output let's say {5, 43, 60, 30 , 4}...so how would u get the chi sqaure from here & the confidence interval. i haven't work on prob &statc in years, thanks a lot for help folks
 
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I'm supposing you made up this problem... for your random sample of size n=5 is {5, 43, 60, 30 , 4},these are your observed cells/frequencies, but you do not have have your expected cells/frequencies.
 
Basically u can do the confidence for 99%
 
I don't understand what you're trying to do.

For a Chi-Squared test, you need a null hypothesis and alternative hypothesis.
The test statistical value is [tex]\chi^2=\sum \frac{(O-E)^2}{E}[/tex]
where O is a shorthand notation for your observed cells and E is the shorthand notation for expected cell/frequency.

If you are trying to find the confidence interval for the true variance [tex]\sigma^2[/tex], then the formula for that is

[tex]P\left( C_{1}< \frac{(n-1)s^2}{\sigma^2} < C_{2} \right) = 1- \alpha[/tex] = .99 since 100(1-alpha)% =99%

where [tex]C_{1}=\frac{(n-1)s^2}{\chi_{\alpha/2,n-1}}[/tex] is the lower limit
and
[tex]C_2 = \frac{(n-1)s^2}{\chi_{1-\alpha/2,n-1}}[/tex] is your upper limit.
 
Last edited:
lets say u consider #5 as the thresh#, and for the numbers> 5, u tryto find the confiendnce interval for 99.99% or greater. thanks
 

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