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Name of experiment
Experiment 0:
Statistics and Data Analysis
Name of student
Cia Li
Names of lab partner or group members (if applicable)
N/A
Date
5/11/10
TA’s name
Gialai Kooa
Course number, lab section number, and lab room
Chem241L, Section 503, Rm 420
Results and Calculations
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View Full Document In this experiment, ten different pieces of filter paper were weighed using a laboratory balance
and the data was recorded below.
Paper #
Mass (g)
9
0.632
10
0.641
8
0.641
4
0.640
3
0.634
7
0.610
6
0.637
5
0.632
11
0.626
2
0.637
Table 1:
Experimental Paper Mass Data
*observations*
Statistical Measure
Computed Value
Number of Measurements
10
Sum
6.330 g
Mean
0.633 g
Standard Deviation
0.00937 g
Table 2:
Statistical Data Obtained from Data Analysis
Sample Calculations
= 0.632 + 0.641 + 0.641 + 0.640 + 0.634 + 0.610 + 0.637 + 0.632 + 0.626 + 0.637 = 6.330 g
=
n
x
i
i
∑
=
= 0.6 g
s =
=
= 0.00937 g
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View Full Document Questions and Calculations
1)
Experimental Paper Mass Mean is:
=
n
x
i
i
∑
=
= 0.6 g
Experimental Paper Mass Standard Deviation is:
s =
=
= 0.00937 g
Population Paper Mass Mean is:
Population Paper Mass Standard Deviation is:
2)
3)
95% Confidence Interval is:
99% Confidence Interval is:
4)
5a)
The population data set gives a more accurate representation of the data because it includes
data from each and every paper in the population of filter paper.
The sample data set includes
only a small fraction of paper data of the paper population.
5b) When the number of measurements increase, uncertainty decreases (inverse relationship)
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This note was uploaded on 10/11/2010 for the course CHEM 200 taught by Professor Rudolph during the Winter '08 term at University of North Carolina Wilmington.
 Winter '08
 Rudolph
 Chemistry

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