# chi-square

1. ### statistics for picture-sound association

Hello, I am struggling to find the right statistics in order to analyse the following: I have 3 types of pictures and for each picture, I ask my participants to choose between two sounds, A and B, where only 1 is correct. I want to explore whether the percentage of correct responses is...
2. ### BreakEven treshold - decision making

If my break-even for response rate is 60% and total population 500,000 What would be the best way to determine if I should continue the vendor : N sample size response vendor 1 : 50 70% vendor 2 : 2000 30 % vendor 3 : 100...
3. ### Independence of computed values

Hi fellows, I'd like to ask you for help. I's sure my problem is trivial for some of you but I can't figure it out by myself.. The problem is that I have 11 gradients, just 11 values, that are calculated from a fingerprint, and I wish to know whether these 11 numbers are statistically...
4. ### 4x2 Chi-Square HELP!

Hi, I'm doing my dissertation for my Masters and I am in desperate need of help! I need to run 4x2 chi-squares in SPSS. I understand the assumptions (all expected counts must be above 1 and there should be no more than 20% of expected counts below 5), however as I am running multiple tests...
5. ### McNeamar versus Chi-square

Hi everyone, I am having a little trouble understanding the difference between the assumptions behind the McNemar Test and an ordinary Chi-square test. The text books say "use McNemar when the data is paired" but it doesn't seem totally clear what this really means. My understanding of...
6. ### Alternative to chi-squared test needed

Hi all. I need a goodness of fit test for a situation in which a chi-squared test isn't appropriate - where the sum of the expected values does not necessarily equal the sum of the observed values. For example, I have 5 cells each with the same expected value of 10. The observations for...
7. ### Target Value for Chi-Square Test

I am working on a project that essentially involves "reversing" the chi-square test. A client wants to know what the expected value should be to see a statistically significant change. The total sample size for the target group can be assumed to remain the same. A confidence level of 95% is used...