02_Data_Treatment-page11

02_Data_Treatment-page11 - If the means are identical, it...

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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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This note was uploaded on 01/07/2012 for the course CHEM 290 taught by Professor Harvey during the Fall '08 term at SUNY Stony Brook.

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