IMP: chi sqaure & the confidence interval

In summary, a chi square test is a statistical test used to determine if there is a significant association between two categorical variables in IMP. The confidence interval in IMP is calculated using a formula that takes into account the sample size, mean, and standard deviation of a given data set. While the chi square test and confidence interval are commonly used for categorical data, they can also be used for continuous data under certain conditions. The significance level in IMP is determined by the researcher and is typically set at 0.05 or 0.01, indicating a 5% or 1% chance of obtaining the results by chance. The results of the chi square test and confidence interval can be interpreted by comparing the p-value to the significance level, with
  • #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
 
Physics news on Phys.org
  • #2
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
 
  • #3
Here are a couple of Wikipedia links that might shed some light on your questions.
http://en.wikipedia.org/wiki/Goodness_of_fit" [Broken]
http://en.wikipedia.org/wiki/Confidence_interval" [Broken]
 
Last edited by a moderator:

1. What is a chi square test and how is it used in IMP?

A chi square test is a statistical test used to determine if there is a significant association between two categorical variables. In IMP, it is commonly used to compare observed and expected frequencies of a particular trait or variable in a population, allowing researchers to make inferences about the relationship between the variables.

2. How is the confidence interval calculated in IMP?

The confidence interval in IMP is calculated using a formula that takes into account the sample size, mean, and standard deviation of a given data set. This interval provides a range of values within which the true population parameter is likely to fall with a certain level of confidence, usually 95% or 99%.

3. Can the chi square test and confidence interval be used for any type of data?

The chi square test and confidence interval are most commonly used for categorical data, such as yes/no responses or multiple categories. However, they can also be used for continuous data if the data can be grouped into categories or if certain assumptions are met.

4. What is the significance level in IMP and how is it determined?

The significance level in IMP is the level at which the results of a statistical test are deemed to be significant or not. It is typically set at 0.05 or 0.01, indicating a 5% or 1% chance of obtaining the results by chance. This level is determined by the researcher and should be chosen based on the specific research question and context.

5. How can the results of the chi square test and confidence interval be interpreted in IMP?

The results of the chi square test and confidence interval in IMP can be interpreted by comparing the p-value to the significance level. If the p-value is less than the significance level, the results are considered significant and there is evidence of a relationship between the variables. If the p-value is greater than the significance level, the results are not considered significant and there is not enough evidence to conclude a relationship between the variables.

Similar threads

  • Calculus and Beyond Homework Help
Replies
4
Views
3K
Replies
9
Views
337
  • MATLAB, Maple, Mathematica, LaTeX
Replies
12
Views
3K
  • Calculus and Beyond Homework Help
Replies
1
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
7
Views
2K
  • Calculus and Beyond Homework Help
Replies
1
Views
1K
  • Engineering and Comp Sci Homework Help
Replies
3
Views
951
  • Set Theory, Logic, Probability, Statistics
Replies
24
Views
4K
  • Programming and Computer Science
Replies
1
Views
2K
  • Calculus and Beyond Homework Help
Replies
10
Views
4K
Back
Top