Perform the outlier test at 95% confidence level to detect any in the given data. Calculated Q values should have the same number of decimal places as that of the critical Q value. Qcritical at 95% confidence level: 0.493 (N = 9) 0.466 (N = 10) 0.444 (N = 11) 0.426 (N = 12) calculated Q (lowest data): Blank 1 calculated Q (highest data): Blank 2 critical Q value: Blank 3 conclusion (Choose: No outlier, the lowest is an outlier, or the highest is an outlier): Blank 4 Calculate/provide the following. Mean, median, standard deviation and range should have the same number of decimal places as that of the measured data. Apply rules on significant figures for RSD and CV. No need to include the unit. mean: Blank 5 median: Blank 6 standard deviation: Blank 7 range: Blank 8 RSD: Blank 9 CV: Blank 10 If t-value is 2.23, then the confidence interval at 95% confidence level is u = Blank 11 +/- Blank 12 g
Perform the outlier test at 95% confidence level to detect any in the given data. Calculated Q values should have the same number of decimal places as that of the critical Q value. Qcritical at 95% confidence level: 0.493 (N = 9) 0.466 (N = 10) 0.444 (N = 11) 0.426 (N = 12) calculated Q (lowest data): Blank 1 calculated Q (highest data): Blank 2 critical Q value: Blank 3 conclusion (Choose: No outlier, the lowest is an outlier, or the highest is an outlier): Blank 4 Calculate/provide the following. Mean, median, standard deviation and range should have the same number of decimal places as that of the measured data. Apply rules on significant figures for RSD and CV. No need to include the unit. mean: Blank 5 median: Blank 6 standard deviation: Blank 7 range: Blank 8 RSD: Blank 9 CV: Blank 10 If t-value is 2.23, then the confidence interval at 95% confidence level is u = Blank 11 +/- Blank 12 g
Perform the outlier test at 95% confidence level to detect any in the given data. Calculated Q values should have the same number of decimal places as that of the critical Q value. Qcritical at 95% confidence level: 0.493 (N = 9) 0.466 (N = 10) 0.444 (N = 11) 0.426 (N = 12) calculated Q (lowest data): Blank 1 calculated Q (highest data): Blank 2 critical Q value: Blank 3 conclusion (Choose: No outlier, the lowest is an outlier, or the highest is an outlier): Blank 4 Calculate/provide the following. Mean, median, standard deviation and range should have the same number of decimal places as that of the measured data. Apply rules on significant figures for RSD and CV. No need to include the unit. mean: Blank 5 median: Blank 6 standard deviation: Blank 7 range: Blank 8 RSD: Blank 9 CV: Blank 10 If t-value is 2.23, then the confidence interval at 95% confidence level is u = Blank 11 +/- Blank 12 g
For statistical analysis, you may just write the formula and provide the answer instead of providing the long solution. Use your calculator or MS Excel for calculation.
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Transcribed Image Text:Perform the outlier test at 95% confidence level to detect any in the given data. Calculated Q values should have the same
number of decimal places as that of the critical Q value.
Qeritical at 95% confidence level:
0.493 (N = 9)
0.466 (N = 10)
0.444 (N = 11)
0.426 (N = 12)
calculated Q (lowest data): Blank 1
calculated Q (highest data): Blank 2
critical Q value: Blank 3
conclusion (Choose: No outlier, the lowest is an outlier, or the highest is an outlier): Blank 4
Calculate/provide the following. Mean, median, standard deviation and range should have the same number of decimal
places as that of the measured data. Apply rules on significant figures for RSD and cV. No need to include the unit.
mean: Blank 5
median: Blank 6
standard deviation: Blank 7
range: Blank 8
RSD: Blank 9
CV: Blank 10
If t-value is 2.23, then the confidence interval at 95% confidence level is µ = Blank 11 +/- Blank 12 g
Transcribed Image Text:Experiment 1 Use of Analytical Balance/Statistical Analysis
Eleven different coins were weighed using the analytical balance and the results are shown in the following table:
Coin
Mass, g
Coin
Mass, g
1
5.3456
7
5.3008
2
5.2893
5.3187
3
5.3309
9
5.2967
4
5.3594
10
5.3269
5.2908
11
5.3220
5.3196
00
Branch of chemistry that deals with the separation, identification, and quantification of chemical compounds. Instruments such as centrifuges, microscopes, and spectrometers are commonly used in analytical chemistry. Forensic science is well-known for being reliant on analytical chemistry techniques.
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