How to Test for Equality of Selective First Items from Three Factories?

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Discussion Overview

The discussion revolves around testing the hypothesis of equality among defective items produced by three different factories. Participants explore statistical methods suitable for comparing proportions of defective items from each factory, considering both pairwise comparisons and alternative approaches.

Discussion Character

  • Homework-related
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant suggests using a Two-proportion z-test to compare the defective rates between the factories.
  • Another participant cautions that pairwise tests may not be transitive, meaning that statistical significance in comparisons does not imply significance in all combinations.
  • ANOVA is proposed as an alternative method for testing equality among the three groups, with a description of how to estimate variances using the binomial variance formula.
  • A participant expresses a preference for the Two-proportion z-test due to its perceived simplicity and mentions that ANOVA is not familiar to students.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the best method to use, with differing opinions on the appropriateness of pairwise tests versus ANOVA. The discussion remains unresolved regarding which statistical approach is preferable.

Contextual Notes

There is uncertainty regarding the understanding of ANOVA among students, and the implications of using pairwise tests are not fully explored. The discussion does not clarify the assumptions or limitations of the proposed statistical methods.

dumbest
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first of all , hello everyone

you can see who i am depending on my nickname ,

but i need your help

i have one question :" Three factory creates the same item ,

from the first factory is selected 250 item and 10 of them is defective
from the second factory 200 and 9 of them is defective
from the third 150 and 11 of them is defective

a=0.1 ( Alpha = 0.1 )
question is : test hypothesis about equality of these "selections" ( i don`t know how to say exactly ) "should i test the first two of them using " Two-proportion z-test " and then test one of them and third using again " Two-proportion z-test " ... ?anyone ?
 
Last edited:
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You can test them in pairs, with the caveat that pairwise tests are not transitive: if x = y and y = z are both statistically significant, it does not follow that x = z is also stat. significant. In your case, they may turn out to be consistent; I haven't tried.

The alternative is to use ANOVA for three Binomial distributions. You can estimate within-group (sample) variances using the binomial variance formula njpj(1-pj) for the j'th group, then set it equal to the sample variance, sn2 (substitute nj for n) then solve for the sum of squared deviations from the mean for the j'th sample (j = 1, 2, 3).
 
thanks for an answer ,

i think they must be consistent ,

because the alternative way ( anova ... ) will take more time and that way is not defined by teacher yet ...

students do not know what is Anova ... sorry for my bad english and thanks for an answer ...
 
Last edited:
Please post homework questions in the homework forums.
 

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