Results 321 to 330 of about 3,920,331 (369)
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Research Methods and Statistics in Psychology
, 20231. Psychology, Science and Research. 2. Measuring People: Variables, Samples and the Qualitative Critique. 3. Experiments and Experimental Designs in Psychology. 4. Validity in Psychological Research. 5. Quasi-experiments and Non-experiments.
Hugh Coolican
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2021
This chapter gives definitions and basics on statistics, as mean standard deviation, trueness, accuracy, uncertainty … The relation of test result precision with the number of test readings is emphasized. Theoretical considerations about the minimal distance between two test readings to ensure their dependency are presented.
Garnier, Vincent +2 more
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This chapter gives definitions and basics on statistics, as mean standard deviation, trueness, accuracy, uncertainty … The relation of test result precision with the number of test readings is emphasized. Theoretical considerations about the minimal distance between two test readings to ensure their dependency are presented.
Garnier, Vincent +2 more
openaire +4 more sources
Statistics, statistical thinking, and the IACUC [PDF]
Lab Animal, 2021 To improve rigor and reproducibility of animal research, the recently released NIH Advisory Committee report recommends major improvements in investigator statistical training and practice. The IACUC can serve as important gatekeepers of research quality by ensuring that simple statistically based reproducibility criteria are addressed in animal use ...
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Statistics, Adjusted Statistics, and Maladjusted Statistics
American Journal of Law & Medicine, 2017Statistical adjustment is a ubiquitous practice in all quantitative fields that is meant to correct for improprieties or limitations in observed data, to remove the influence of nuisance variables or to turn observed correlations into causal inferences. These adjustments proceed by reporting not what was observed in the real world, but instead modeling
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Practical statistics for medical research
, 1990Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed.
D. Altman
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Biometry: The Principles and Practice of Statistics in Biological Research
, 19691. Introduction 2. Data in Biology 3. Computers and Data Analysis 4. Descriptive Statistics 5. Introduction to Probability Distributions 6. The Normal Probability Distribution 7. Hypothesis Testing and Interval Estimation 8.
R. Sokal, F. Rohlf, Freeman, Co.
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Density Estimation for Statistics and Data Analysis
, 1987Introduction. Survey of Existing Methods. The Kernel Method for Univariate Data. The Kernel Method for Multivariate Data. Three Important Methods. Density Estimation in Action.
Bernard Walter Silverman
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Order Statistics and Nonparametric Statistics. [PDF]
, 1978 Abstract : The research reported falls under the headings: (a) order statistics; (b) competing risks; (c) nonparametric statistics, and (d) cyclic designs. (a) Concomitants of order statistics were introduced and studied as a class, and applications in selection and double sampling provided. The robustness of various estimators of location and scale in
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Statistics and More Statistics
Science, 1999A. Rawitch describes his tests of the sophisticated and comprehensive statistical package for data analysis, SYSTAT 8.0.
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