Was your calibration curve as linear as you expected

Sample Identification
Code

Concentration of M

%T

A=2-log(%T)

Q5000

4.00 x 10-4

17.9

0.75

Q5001

3.20 x 10-4

25.0

0.6

Q5002

2.40 x 10-4

35.7

0.46

Q5003

1.60 x 10-4

50.2

0.3

Q5004

8.000 x 10-5

70.8

0.15

Sample
Identification
Code

%T

A=2-log(%T)

A

M

Q02101501

43.7

0.35951856

0.36

0.000192

Q02101502

44.1

0.35556141

0.36

0.00018

Q02101503

43.8

0.35852589

0.36

0.00017

Q02101504

44.1

0.35556141

0.36

0.00018

Q02101505

43.8

0.35852589

0.36

0.00017

What was their percent error?
43%
Does Batch 021015 meet legal requirements?
No, because it is not between 2.85 * 10(4) and 3.15 * 10(4)
Well #
Drops
Blue
dye

1

2

3

4

5

6

7

8

9

10

1

2

3

4

5

6

7

8

9

10

Drops 9
Distille
d water

8

7

6

5

4

3

2

1

0

Concne 0.26
tration

0.52

Test Tube #

0.78

1.04

1.3

Solutions

3

Concentration (M)

2.08

2.3

2.6

Concentration (ppm)

1:1 dilution

1

1.82

Starting Dilution

2

1.56

2:1 dilution

0
A.

Zero standard
0
Was your calibration curve as linear as you expected?

B.

Did you experience any “drift” of the resistance readings?

C.

What is the equation of your best-fit line?

D.

What commercial drink did you analyze?

E.

Assuming that the same commercial drink was analyzed in both colorimetry methods, how

did the results compare?
F.

Which technique should give more accurate results?

G.

What are some of the potential sources for errors in this experiment

0