To quantitatively \"throw out\" a measurement, you must perform a statistical te

Question

To quantitatively "throw out" a measurement, you must perform a statistical test on your data called a Q-Test. The formula for the Q-test is

where gap = (questionable value ? next closest number) and range = (largest number ? smallest number).

Qcalculated is then compared to Qtable. If Qcalculated > Qtable then the questionable datum can be discarded.

What is the gap of these values (questionable value ? next closest value)? (Take the absolute value if necessary to make this number positive.)

    
    Can the questionable value be discarded based on your Q-test results?      Yes No    

What would be the exact answers for these 4 problems? I thought it would .76-.64 for the gap, but I keep getting it wrong and I don't know why?

Q (90% confidence) number of measurements 0.76 4 0.64 5 0.56 6 To quantitatively "throw out" a measurement, you must perform a statistical test on your data called a Q-Test. The formula for the Q-test is Qcalculated = gap/range where gap = (questionable value ? next closest number) and range = (largest number ? smallest number). Qcalculated is then compared to Qtable. If Qcalculated > Qtable then the questionable datum can be discarded. What is the gap of these values (questionable value ? next closest value)? (Take the absolute value if necessary to make this number positive.) What is the gap of these values (questionable value ? next closest value)? (Take the absolute value if necessary to make this number positive.) What is Qcalculated for your data above? WebAssign will check your answer for the correct number of significant figures. Which Qtable will you compare your Qcalculated to? 0.76 0.64 0.56 Can the questionable value be discarded based on your Q-test results? Yes No What would be the exact answers for these 4 problems? I thought it would .76-.64 for the gap, but I keep getting it wrong and I don't know why?

Explanation / Answer

1) .76-.64 = .12 if it is wrong then 0.8

2).12/(.76-.56) = .6
if u take 0.8 in (1) then it will be .4

3)0.64

4)yes , 0.56 can be discarded

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