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02_Data_Treatment-page11

# 02_Data_Treatment-page11 - If the means are identical it is...

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Degrees of Confidence level Freedom 90% 95% 99% 1 6.31 12.7 63.7 2 2.92 4.30 9.92 3 2.35 3.18 5.84 4 2.13 2.78 4.60 5 2.02 2.57 4.03 6 1.94 2.45 3.71 7 1.90 2.36 3.50 8 1.86 2.31 3.36 9 1.83 2.26 3.25 10 1.81 2.23 3.17 Data: 1.01, 1.02, 1.10, 0.95, 1.00 mean = 1.016 s x = 0.0541 s x = 0.0242 t values for 4 degrees of freedom 95% confidence = 2.13 99% confidence = 2.78 - CI 95% = 1.016 + = 1.02 + 0.05 (+ 5%) CI 99% = 1.016 + = 1.02 + 0.07 (+ 7%) 2.13 x 0.0541 5 1/2 2.78 x 0.0541 5 1/2 If you have two sets of numbers - from different samples - from different assays of the same sample Are they actually different.
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Unformatted text preview: If the means are identical, it is more likely an accident than anything else. We can test to see if results (identical or not) are the same or not. To test if the two means actually differ, first you must calculate the mean and standard deviation for each sample. Next you must evaluate based on two possible cases: Case 1 - A and B do not differ significantly Case 2 - A and B do differ significantly. Which assumption you makes affects how you approach the problem....
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