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Definitions, 2020
Breast self-examination (BSE) is an examination technique in which a woman examines her own breasts by looking and feeling with her fingers to detect whether or not there are lumps in her breasts. Knowledge and practice of BSE is a person's knowledge and
F. Dekking +3 more
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Breast self-examination (BSE) is an examination technique in which a woman examines her own breasts by looking and feeling with her fingers to detect whether or not there are lumps in her breasts. Knowledge and practice of BSE is a person's knowledge and
F. Dekking +3 more
semanticscholar +2 more sources
Statistical Methods, 2020
Introduction This procedure provides several reports for the comparison of two continuous-data distributions, including confidence intervals for the difference in means, two-sample t-tests, the z-test, the randomization test, the MannWhitney U (or ...
Cheryl Ann Willard
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Introduction This procedure provides several reports for the comparison of two continuous-data distributions, including confidence intervals for the difference in means, two-sample t-tests, the z-test, the randomization test, the MannWhitney U (or ...
Cheryl Ann Willard
semanticscholar +1 more source
Is There Significance beyond the T-Test?
Drug Intelligence & Clinical Pharmacy, 1988Choosing the most appropriate statistical test may be routine for statisticians, but not for clinicians. The t-test, a parametric statistical test, may be used inappropriately. This commentary describes the assumptions of and alternatives to the t-test.
E G, Boyce, J M, Nappi
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Hypothesis-testing and t-tests
2002This module covers hypothesis testing using t-tests. Modules 1–3 have covered the preliminary stages in data entry and analysis. Module 2 has provided examples of data exploration and description. Exploring and describing the data using descriptive statistics (means, medians, frequency counts, etc.) and charts provides us with the opportunity to become
Robert L. Miller +4 more
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The SAGE Encyclopedia of Research Design, 2022
A good example of a non-parametric test is the Mann-Whitney U-test (Also known as the Mann-Whitney-Wilcoxon (MWW) or Wilcoxon Rank-Sum Test). Unlike its parametric counterpart, the t-test for two samples, this test does not assume that the difference ...
Patrick E. McKnight, Julius Najab
semanticscholar +1 more source
A good example of a non-parametric test is the Mann-Whitney U-test (Also known as the Mann-Whitney-Wilcoxon (MWW) or Wilcoxon Rank-Sum Test). Unlike its parametric counterpart, the t-test for two samples, this test does not assume that the difference ...
Patrick E. McKnight, Julius Najab
semanticscholar +1 more source
Biometrika, 1962
Schneiderman & Armitage (1962) described a family of sequential procedures, called 'wedge plans', which could be used for testing the mean ,.t of a normal population with known variance CJ2. For tests of a null hypothesis Ho (that ,.t = 0) against two alternatives H1 (that It = ,t1) and H_1 (that It = -,tl), the boundaries favouring H1 and H_1 (i.e ...
Schneiderman, M. A., Armitage, P.
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Schneiderman & Armitage (1962) described a family of sequential procedures, called 'wedge plans', which could be used for testing the mean ,.t of a normal population with known variance CJ2. For tests of a null hypothesis Ho (that ,.t = 0) against two alternatives H1 (that It = ,t1) and H_1 (that It = -,tl), the boundaries favouring H1 and H_1 (i.e ...
Schneiderman, M. A., Armitage, P.
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Biometrika, 1980
SUMMARY Sequential trimmed t tests are proposed using the restricted scheme and wedge scheme. The formulations of these plans are given and their performances are compared with the usual restricted and wedge t tests under normality and long-tailed distributions. 1.
Lim, T. K., Fung, Karen Yuen
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SUMMARY Sequential trimmed t tests are proposed using the restricted scheme and wedge scheme. The formulations of these plans are given and their performances are compared with the usual restricted and wedge t tests under normality and long-tailed distributions. 1.
Lim, T. K., Fung, Karen Yuen
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A Generalization of the Paired t-Test
Applied Statistics, 1982The analysis of paired data with a variable number of readings per pairing is discussed. The standard t‐test based on paired means is not valid if there is within‐pairing variability. A generalized paired t‐test is developed and a numerical example is given.
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Journal of Clinical Psychology, 1948
The H-T-P (freehand drawing of House, Tree, and Person) is a technique designed to aid the clinician in obtaining information concerning the sensitivity, maturity, and integration of a subject's personality, and the interaction of that personality with its environment (both specific and general).
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The H-T-P (freehand drawing of House, Tree, and Person) is a technique designed to aid the clinician in obtaining information concerning the sensitivity, maturity, and integration of a subject's personality, and the interaction of that personality with its environment (both specific and general).
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1992
Gegenstand von Signifikanztests sind sogenannte Nullhypothesen H 0, d.h. Annahmen uber die Verteilung von Grundgesamtheiten, uber deren Ablehnung oder Nichtablehnung zugunsten einer Alternativhypothese zu entscheiden ist. Die Wahrscheinlichkeit dafur, eine richtige Hypothese abzulehnen (Fehler 1. Art), heist Signifikanzniveau.
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Gegenstand von Signifikanztests sind sogenannte Nullhypothesen H 0, d.h. Annahmen uber die Verteilung von Grundgesamtheiten, uber deren Ablehnung oder Nichtablehnung zugunsten einer Alternativhypothese zu entscheiden ist. Die Wahrscheinlichkeit dafur, eine richtige Hypothese abzulehnen (Fehler 1. Art), heist Signifikanzniveau.
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