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I have a hypothesis testing question which I'm having trouble with, any informative help would be welcome.

There is a hypothetical brewery and it has 5 taps for filling cans (which tap fills a can is entirely random). The can must be filled with 1000units, but above this has to be kept to a minimum to avoid overfilling. Every now and then a red can is sent through the system of blue cans, and the tap used to fill it and how much it is filled with is noted. Therefore I have a set of data with 30 fill amounts for each of the 5 taps.

By analysing the data decide if any tap appears to be filling the cans with more beer than other taps?

For this I have done hypothesis of; H0: u1-u2>=0 and HA: u1-u2<0. Is this correct?

If so, do I use the left tail of a one tailed distribtuion diagram?

2006-11-30 07:43:18 · 1 answers · asked by Anonymous in Science & Mathematics Mathematics

1 answers

This kind of seems like you'd do ANOVA to test the hypothesis that the means are the same versus whether they are not. However to do so you'd need hard data. ANOVA tests against the F distribution, so I'd say that's what you'd do. And in ANOVA testing you use the right tail of the F distribution.

2006-12-02 03:39:24 · answer #1 · answered by Modus Operandi 6 · 0 0

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