A Metric for Qualitative Analysis: Case Study of Standard Deviation
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2018 by IJETT Journal|
|Year of Publication : 2018|
|Authors : C.P.E.Agbachi
|DOI : 10.14445/22315381/IJETT-V63P208|
MLA Style: C.P.E.Agbachi"A Metric for Qualitative Analysis: Case Study of Standard Deviation" International Journal of Engineering Trends and Technology 63.1 (2018): 49-57.
APA Style:C.P.E.Agbachi (2018). A Metric for Qualitative Analysis: Case Study of Standard Deviation. International Journal of Engineering Trends and Technology, 63(1), 49-57.
Standard Deviation is a household statistic, a very important paramet er in the analysis of data sets and measurements. Over the decades before the advent of computers, its use is rarely seen outside the confines of scientific laboratories. But the new dawn of data age has transformed its evolution and appreciation as a valuable metric.This paper is a study of Standard Deviation and application in the field of Geomatic Engineering.
 “Calculus Applied to Probability and Statistics”, http://www.cengage.com/resource_uploads/downloads/1439049254_242719.pdf.
 Department of Civil and Environmental Engineering, “Measurement Systems, Statistical and Error Analysis”, University of Buffalo, N.Y.
 MIT Sloane School of Management, “The Central Limit Theorem”, Massachusetts Institute of Technology, Cambridge. Summer 2003
 “Introduction to The Central Limit Theorem”, NCSSM Statistics Leadership Institute Notes, The Theory of Inference
 M. A. R. Cooper, “Fundamentals of Survey Measurement and Analysis”, Granada, © 1974, 1982 by M.A.R Cooper.
 Department of Mathematics and Statistics, “Statistics: Error”, Saint Louis University, St. Louis MO
 Department of Mathematics, “Chauvenet’s Criterion”, Ohio University, Athens, OH
 Sagar Sabade, Hank Walker, “Evaluation of Statistical Outlier Rejection Methods for IDDQ Testing”, Department of Computer Science, Texas A&M University, TX
 E. S. Pearson, C. Chandra Sekar, “The Efficiency of Statistical Tools and A Criterion for the Rejection of Outlying Observations”,Biometrika, Vol. 28, No. 3/4 (Dec., 1936), pp. 308-320
 ISO17123-3, “Optics and optical instruments - Field procedures for testing geodetic and surveying instruments”, © ISO 2001
 C. P. E. Agbachi, “Surveying Software”, Chartered Institution of Civil Engineering Surveyors ICES, October 2011, http://mag.digitalpc.co.uk/fvx/ces/1110/?pn=44
Monitoring, Loop, Expectation, Mean, Variance, Assessment.