Statistical Sampling Techniques and Marketing Research

1945 ◽  
Vol 9 (4) ◽  
pp. 317 ◽  
Author(s):  
Ralph Cassady
Keyword(s):  
Marketing Research ◽  
Sampling Techniques ◽  
Statistical Sampling

scholarly journals An Evaluation Of The Negative Binomial Method For Tests Of Controls

2011 ◽  
Vol 13 (2) ◽  
pp. 65
Author(s):  
John P. Wendell ◽  
Terry Gregson
Keyword(s):  
Negative Binomial Distribution ◽  
Binomial Distribution ◽  
Negative Binomial ◽  
Statistical Technique ◽  
New Method ◽  
Sampling Techniques ◽  
Statistical Sampling

<span>Auditors often use statistical sampling techniques to test controls. Dhavale (1991) presents a new statistical technique based on the negative binomial distribution for this purpose. This article examines in detail the properties of the new method. The article also provides the computational details necessary to apply the new method. The article concludes that the new method may be useful to auditors in some circumstances.</span>

Systematic, Intensive Surface Collection

1970 ◽  
Vol 35 (3) ◽  
pp. 279-291 ◽  
Author(s):  
Charles L. Redman ◽  
Patty Jo Watson
Keyword(s):  
Statistical Analyses ◽  
Detailed Knowledge ◽  
Sampling Techniques ◽  
Statistical Sampling ◽  
Contour Maps ◽  
Intuitive Method ◽  
A Site ◽  
Tabulated Data

AbstractArchaeologists would agree that the cultural debris lying on the surface of a site in some way reflects what is buried below. However, few attempts have been made to discover just how closely one can predict from detailed knowledge of surface distributions what he will find if he digs.In October and November, 1968, surface collections based on statistical sampling techniques were made at two mounds in Diyarbakir Vilayet, Turkey. The tabulated data were put into the form of contour maps. We find that study of these maps, singly or in combination as overlays, suggests numerous hypotheses that can be formulated much more precisely than those deriving from the usual intuitive method based on simple inspection of the site surface. Soundings were made to test some of the major hypotheses. The results of the soundings plus subsequent statistical analyses suggest that intensive, systematic surface collection is an extremely useful technique for determining where to dig. It is also highly productive of testable hypotheses relevant to the total interpretation of the site.

scholarly journals Rigid-lattice Monte Carlo study of nucleation kinetics in dilute bcc Fe-Cu alloys using statistical sampling techniques

2018 ◽  
Vol 159 ◽  
pp. 429-438 ◽  
Author(s):  
Lin Qin ◽  
Alice Redermeier ◽  
Christoph Dellago ◽  
Ernst Kozeschnik ◽  
Carina Karner
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Study ◽  
Sampling Techniques ◽  
Statistical Sampling ◽  
Nucleation Kinetics ◽  
Rigid Lattice ◽  
Lattice Monte Carlo ◽  
Cu Alloys

scholarly journals Audit Sampling Methods And Juror Negligence Awards: An Expectation Gap?

2011 ◽  
Vol 19 (1) ◽  
Author(s):  
David L. Gilbertson ◽  
Terri L. Herron
Keyword(s):  
Sample Size ◽  
Sampling Method ◽  
Sampling Methods ◽  
Sampling Techniques ◽  
Statistical Sampling ◽  
Font Size ◽  
Damage Awards ◽  
Expectation Gap ◽  
Audit Sampling ◽  
Sampling Procedures

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 10pt;">Generally accepted auditing standards permit auditors to apply both statistical and nonstatistical sampling techniques in obtaining sufficient, competent evidential matter.<span style="mso-spacerun: yes;">&nbsp; </span>However, several recent studies have shown that statistical sampling procedures have nearly disappeared from practice. Despite this trend and the heightened anxiety about professional liability, no studies to date have directly tested the potential implications of sampling method on jurors verdicts, damage awards, or sample size expectations.<span style="mso-spacerun: yes;">&nbsp; </span>In this study we investigate the effect of sampling method on jurors&rsquo; judgments in auditor negligence trials.<span style="mso-spacerun: yes;">&nbsp; </span>Overall, in a case where auditors were alleged to have used an insufficient sample size, the sampling method did not affect the likelihood of a &ldquo;guilty of negligence&rdquo; verdict.<span style="mso-spacerun: yes;">&nbsp; </span>However, as predicted, damage awards were significantly higher when nonstatistical sampling was used compared with statistical sampling.<span style="mso-spacerun: yes;">&nbsp; </span>Exploratory analysis revealed that subjects voting &ldquo;guilty of negligence&rdquo; would require the auditors to examine over 17% of the population (compared with the 1% examined) in order to change their verdict to &ldquo;not guilty of negligence.&rdquo;<span style="mso-spacerun: yes;">&nbsp; </span>These findings have troubling implications for auditors employing sampling techniques.</span></p>

Statistical Sampling Approaches

1988 ◽  
Vol 71 (2) ◽  
pp. 246-250
Author(s):  
Janet A Springer ◽  
Foster D Mcclure
Keyword(s):  
Operating Characteristic ◽  
Sample Size Determination ◽  
Sampling Techniques ◽  
Size Determination ◽  
Statistical Sampling ◽  
Basic Principles ◽  
Sampling Plans ◽  
Advantages And Disadvantages ◽  
Multiple Sampling ◽  
Variable Sampling

Abstract This article describes basic sampling principles and the application of statistical sampling techniques to specific problems encountered in the Food and Drug Administration (FDA). Concepts are emphasized, and theory is minimized. The basic principles of sampling from a normal and binomial population, including confidence interval calculation and sample size determination, are briefly reviewed. Stratified, random, systematic, and judgment sampling are explained. Operating characteristic curves for attribute (and perhaps variable) sampling for acceptance of lots are derived and applied to specific FDA problems. The advantages and disadvantages of single and multiple sampling plans and plans which address multiple classes of criteria such as major and minor defects are discussed. Sampling schedules such as MIL-STD-105D and Canada's Government Specifications Board CGSB-105-GP-1 are reviewed to familiarize readers with the principles involved in these plans and to give them an idea of how they could be applied to FDA problems.

scholarly journals The application of statistical and/or non-statistical sampling techniques by internal audit functions in the South African banking industry

2015 ◽  
Vol 5 (1) ◽  
pp. 71-80
Author(s):  
Daniel P. van der Nest ◽  
Louis Smidt ◽  
Dave Lubbe
Keyword(s):  
South African ◽  
Banking Sector ◽  
Internal Audit ◽  
Sampling Techniques ◽  
Statistical Sampling ◽  
Internal Auditors ◽  
Evidence Gathering ◽  
Audit Sampling ◽  
Selection Of

This article explores the use by internal audit functions of audit sampling techniques in order to test the effectiveness of controls in the banking sector. The article focuses specifically on the use of statistical and/or non-statistical sampling techniques by internal auditors. The focus of the research for this article was internal audit functions in the banking sector of South Africa. The results discussed in the article indicate that audit sampling is still used frequently as an audit evidence-gathering technique. Non-statistical sampling techniques are used more frequently than statistical sampling techniques for the evaluation of the sample. In addition, both techniques are regarded as important for the determination of the sample size and the selection of the sample items.

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