Chi sqaure & confidence interval

In summary, in order to find the Chi-Squared value from a set of observed cells/frequencies, you need both the observed and expected values. To find the confidence interval for the true variance, you can use the formula P\left( C_{1}< \frac{(n-1)s^2}{\sigma^2} < C_{2} \right) = 1- \alpha = .99. This formula uses the observed sample size, variance, and the Chi-Squared values at alpha/2 and 1-alpha/2 to calculate the lower and upper limits of the confidence interval. Additionally, if you have a threshold value, you can find the confidence interval for values greater than that threshold by adjusting the
  • #1
sstudent
14
0
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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  • #2
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.
 
  • #3
Basically u can do the confidence for 99%
 
  • #4
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.
 
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  • #5
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
 

What is Chi-square?

Chi-square is a statistical test used to determine the degree of association between two categorical variables. It is used to analyze data that is in the form of frequency counts or proportions.

How is Chi-square calculated?

Chi-square is calculated by taking the sum of the squared differences between the observed and expected frequencies, divided by the expected frequency, for each category of the variables being analyzed.

What is a confidence interval?

A confidence interval is a range of values that is likely to contain the true population parameter with a certain level of confidence. It is used to estimate the unknown population parameter based on a sample of data.

How are confidence intervals calculated?

The calculation of a confidence interval involves determining the margin of error, which is based on the sample size and the level of confidence desired. The margin of error is then added and subtracted from the sample mean to create the confidence interval.

What is the relationship between Chi-square and confidence interval?

There is no direct relationship between Chi-square and confidence interval. However, both are commonly used in statistical analysis to make inferences about population parameters based on sample data. Chi-square is used to analyze categorical data, while confidence intervals are used to estimate unknown population parameters.

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