In: Statistics and Probability
7. You standardize an HCl solution and obtain the following values: 0.5026, 0.5029, 0.5031, 0.5045, 0.5025, and 0.5023 M.
a. The 0.5045 data point seems to differ a lot from the others. Use the Q test at 90% confidence and determine whether this point may be discarded. (If so, leave this point out for the rest of the problem.)
b. Determine the mean of the data.
c. Determine the standard deviation.
d. Using the t table, calculate the range of molarities where you can be 95% confident that the true molarity lies for your sample.
Please explain briefly!!!!
Given,
HCl solution and obtain the following values: 0.5026, 0.5029, 0.5031, 0.5045, 0.5025, and 0.5023
a. Arrange them in the ascending order : 0.5023, 0.5025, 0.5026, 0.5029, 0.5031, 0.5045
The suspected value XN = 0.5045
The nearest Value XN-1 = 0.5031
First Data point X1 = 0.5023
Experimental Q-value :
Critical value of Q for 90% for( N=6 ) QCrit= 0.560
As QExp(0.6364) > Qcrit ( 0.560) ; the suspected value 0.5045 is then the suspect value can be characterized as an outlier and it can be discarded.
After the oulier is being discarded;
Remaining 5 data points are
X |
0.5023 |
0.5025 |
0.5026 |
0.5029 |
0.5031 |
b.Determine the mean of the data
Mean of the Data :
n : Number of Data points = 5
x | |
0.5023 | |
0.5025 | |
0.5026 | |
0.5029 | |
0.5031 | |
Total | 2.5134 |
Mean : | = 2.5234/5 = 0.5027 |
Mean of the Data = 0.5027
c. Determine the standard deviation.
X | (X-) | (X-)2 | |
0.5023 | -0.0004 | 0.000000144 | |
0.5025 | -0.0002 | 0.000000032 | |
0.5026 | -0.0001 | 0.000000006 | |
0.5029 | 0.0002 | 0.000000048 | |
0.5031 | 0.0004 | 0.000000176 | |
Total | 2.5134 | 0.000000408 | |
Mean : | 0.5027 |
Standard deviation : s = 0.000319
d.
the range of molarities where you can be 95% confident that the true molarity lies for your sample i.e
95% confidence interval for population mean:
Formula for Confidence Interval for Population mean
Sample Mean : \overline{x} | 0.5027 |
Sample Standard Deviation : s | 0.000319 |
Sample Size : n | 5 |
Degrees of freedom : n-1 | 4 |
Confidence Level : | 95 |
0.05 | |
/2 | 0.025 |
t0.025,4 | 2.7764 |
95% confidence interval for population mean:
the range of molarities where you can be 95% confident that the true molarity lies for your sample : (0.5023,0.5031)