DATE PERFORMED: NOVEMBER 22, 2011
USING STATISTICAL PRINCIPLES IN THE DEDICATION OF POUNDS VARIATION IN SAMPLES APRIL JOY H. GARETE SECTION OF MINING, METALLURGICAL AND MATERIALS ENGINEERING, COLLEGE OF ENGINEERING COLLEGE OR UNIVERSITY OF THE PHILIPPINES, DILIMAN QUEZON CITY, ISRAEL RECEIVED NOVEMBER 29, 2011
RESULTS AND DISCUSSION A. Weight of Samples Test No . 1 2 3 4 5 6 several 8 on the lookout for 10 Data Set you: Sample No . 1-6 Data Set 2: Sample number 1-10 B. Q-Test Info Set 1 2 C. Reported Ideals Parameter By S RSD R RR CL Info Set 1 3. 6320 + 0. 0005 0. 092447 twenty-five. 453 zero. 2721 + 0. 0003 74. 92 + zero. 08 a few. 63 & 0. 13 Data Set 2 a few. 6055 & 0. 0006 0. 027485 7. 6231 0. 0902 + zero. 0003 twenty-five. 02 + 0. 08 3. sixty one + zero. 03 Think Values They would: 3. 8094 L: a few. 5373 H: 3. 8094 L: 3. 5373 Qtab 0. 740 0. 740 0. 568 0. 568 Qexp 0. 66850 zero. 20397 0. 66850 0. 20397 Bottom line Accepted Accepted Rejected Accepted Weight, g 3. 5928 + zero. 0002 three or more. 6083 + 0. 0002 3. 6210 + zero. 0002 a few. 5373 & 0. 0002 3. 6234 + zero. 0002 several. 8094 & 0. 0002 3. 6275 + zero. 0002 three or more. 6136 & 0. 0002 3. 6139 + 0. 0002 several. 6120 + 0. 0002
D. Sample Calculations п‚· Q-test
exactly where Q may be the ratio when compared to Qtab, xq is the thought value, xn is the benefit closest to the suspected and w may be the range of the whole set. L: Qexp sama dengan |3. 8094 – three or more. 6275| = 0. 66850 (0. 27210) L: Qexp = |3. 5373 – 3. 5928| = 0. 20397 (0. 27210)  Mean (X)
X = 3. 5928 + 3. 6083 & 3. 6210 + several. 5373 & 3. 6234 + several. 8094 sama dengan 3. 6320 6 x= = zero. 0005 п‚· Standard Change (S)
S= = 0. 092447
п‚·
Relative Standard Deviation (RSD) * multitude of ppt = 25. 453 ppt
п‚·
Range (R)
R sama dengan Xhighest -- Xsmallest= (3. 8094 – 3. 5373) = 0. 27210
п‚· Relative Selection (RR) RR = sama dengan * a thousand ppt sama dengan 74. 917 ppt
п‚·
Confidence Limit (CL)
= 3. 63 + zero. 14
Electronic. Discussion Standard deviation is known as a statistical measure of dispersion of values. This represents how closely a couple of numbers is approximately its imply or predicted value. It is an important idea since it is a precise sign of the amount of variability in a set of numbers. Smaller common deviation...
References: [1] Walpole, et. ing. 2003. Probability and Statistics for Designers and Scientists. Singapore. Prentice Hall. [2] Skoog, ainsi que. al. 2004. Fundamentals of Analytical Biochemistry and biology. United States of America. Brooks/Cole [3] Harris, Daniel. 2007. Quantitative Chemical substance Analysis. United states. W. L. Freeman and Company
