Repeating the experiments with the same volume and adding the same amount of tartrate salt, you receive the following precipitate results:

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Average, average deviation, range please show work follow the instructions on the page
Repeating the experiments with the same volume and adding the same amount of
tartrate salt, you receive the following precipitate results:
Experiment # Mass Bi(CHOlHO (g) recovered
1
0.7890
0.7927
3
0.8084
4
0.8002
0.7939
6
0.7882
7
0.7729
8
0.7953
9.
0.8110
10
0.7961
In your notebook, calculate and report the results of the parts per thousand test.
Is it less than 15? If not...you might be in trouble with your supervisor. If it's
greater than 30...I can guarantee it.
I want to see a) the parts per thousand test, and b) the results of the Q-test on
data you may suspect as being out of whack. Pick the run that is farthest from the
average for your calculation. Should you include that value?
Supplement: Data Analysis
d; =
Deviation (d), and the average of deviations (from
the mean). The deviations are the difference
between each individual measurement (n =
number of measurements) and the average, and is
a measure of your precision.
= IX
-
2x; - x
A much better measure of precision is to
take the average deviation, divide by the
mean, and multiply by 1000. This is called
the parts per thousand test. Good values for
a precise analysis are generally <5. With the
equipment at your disposal, values of <15
are easily obtainable.
x - x
|
n
×1000
18
1-
Transcribed Image Text:Repeating the experiments with the same volume and adding the same amount of tartrate salt, you receive the following precipitate results: Experiment # Mass Bi(CHOlHO (g) recovered 1 0.7890 0.7927 3 0.8084 4 0.8002 0.7939 6 0.7882 7 0.7729 8 0.7953 9. 0.8110 10 0.7961 In your notebook, calculate and report the results of the parts per thousand test. Is it less than 15? If not...you might be in trouble with your supervisor. If it's greater than 30...I can guarantee it. I want to see a) the parts per thousand test, and b) the results of the Q-test on data you may suspect as being out of whack. Pick the run that is farthest from the average for your calculation. Should you include that value? Supplement: Data Analysis d; = Deviation (d), and the average of deviations (from the mean). The deviations are the difference between each individual measurement (n = number of measurements) and the average, and is a measure of your precision. = IX - 2x; - x A much better measure of precision is to take the average deviation, divide by the mean, and multiply by 1000. This is called the parts per thousand test. Good values for a precise analysis are generally <5. With the equipment at your disposal, values of <15 are easily obtainable. x - x | n ×1000 18 1-
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