Calculate P-Value: Compare Method1 vs Method2 Results

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To determine the statistical significance between results from two methods of measuring doses from an x-ray tube, a p-value test is required. The null hypothesis assumes no difference between the methods. The degrees of freedom for the analysis is 6, derived from the 7 paired differences. It's crucial to analyze the raw differences rather than percentage differences, as the latter can introduce nonlinearity. Additionally, the normality of the data should be assessed, as significant deviations from normality may necessitate the use of non-parametric tests.
lavster
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Homework Statement



This isn't a homework question but figured this is the best place to ask :)

what I have done is measure doses from an x-ray tube at various positions using two different methods, method1 and method2. I would like to say if they are statistically significant or not by using a p-value test. I have no software except excel... I have so many results to do this analysis on. If you could help me with the first one that would be really appreciated. The points are meant to be (slightly) different so its not just a repetition of the same thing. Ie I've not just repeated it 7 times. Its method 1 and method 2 id like to comparepoint method1 method2 % diff
1 203 ~~ 206.2~~ 1.57
2 202.2~~ 204.6~~ 1.17
3 202.9~~ 203.4~~ 0.27
4 202.4~~ 205.9~~ 1.73
5 202.6~~206.3~~1.86
6 202.3~~ 210.1~~3.83
7 202.4~~ 204.1~~ 0.92

Homework Equations


The Attempt at a Solution



so I am assuming my null hypothesis is they are not different.

But is my degrees of freedom 1 or 6?

Also which one of the p-value tests do I use in this situation? most examples I can find is when its a group A vs group B, where the results from group A and group B are not linked. But in mine it is point 1 is point 1 in both and they should be compared together...

Thanks
 
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lavster said:

Homework Statement



This isn't a homework question but figured this is the best place to ask :)

what I have done is measure doses from an x-ray tube at various positions using two different methods, method1 and method2. I would like to say if they are statistically significant or not by using a p-value test. I have no software except excel... I have so many results to do this analysis on. If you could help me with the first one that would be really appreciated. The points are meant to be (slightly) different so its not just a repetition of the same thing. Ie I've not just repeated it 7 times. Its method 1 and method 2 id like to compare


point method1 method2 % diff
1 203 ~~ 206.2~~ 1.57
2 202.2~~ 204.6~~ 1.17
3 202.9~~ 203.4~~ 0.27
4 202.4~~ 205.9~~ 1.73
5 202.6~~206.3~~1.86
6 202.3~~ 210.1~~3.83
7 202.4~~ 204.1~~ 0.92





Homework Equations





The Attempt at a Solution



so I am assuming my null hypothesis is they are not different.

But is my degrees of freedom 1 or 6?

Also which one of the p-value tests do I use in this situation? most examples I can find is when its a group A vs group B, where the results from group A and group B are not linked. But in mine it is point 1 is point 1 in both and they should be compared together...

Thanks

Just look at differences, not percentage differences. Why? Well, percentages are quite nonlinear functions of the data (as they are of the form 100*(x-y)/y or 100*(x-y)/x, which are not linear in x and/or y). If you look at the differences, you will have 6 degrees of freedom, because you have 7 differences.

Another issue that may be cause for worry is whether or not the data are sufficiently close to being normally distributed so as to allow for usable results from standard statistical tests. If the data are far from normal, the test results could be meaningless, and you might need to fall back on non-parametric tests.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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