Results 11 to 20 of about 266,368 (176)
A Statistical Primer: Understanding Descriptive and Inferential Statistics
Evidence Based Library and Information Practice, 2007 As libraries and librarians move more towards evidence-based decision making, the data being generated in libraries is growing. Understanding the basics of statistical analysis is crucial for evidence-based practice (EBP), in order to correctly design ...
Gillian Byrne
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Formulation of Parsimonious Urban Flash Flood Predictive Model with Inferential Statistics
Mathematics, 2022 The curve number (CN) rainfall–runoff model is widely adopted. However, it had been reported to repeatedly fail in consistently predicting runoff results worldwide.
Lloyd Ling +4 more
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Assessing statistical reasoning in descriptive statistics: a qualitative meta-analysis [PDF]
, 2016 To date, there are abundant studies on statistical reasoning in descriptive statistics and inferential statistics. Nevertheless, the types of statistical reasoning assessments used in those studies are different from each other.
Ismail, Zaleha +2 more
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Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case
Energies, 2021 In this work, we investigate a probabilistic method for electricity price forecasting, which overcomes traditional ones. We start considering statistical methods for point forecast, comparing their performance in terms of efficiency, accuracy, and ...
Emma Viviani +2 more
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Medical Statistics Series: Inferential Statistics (Part-I)
National Journal of Community Medicine, 2021 Hypothesis testing (or statistical inference) is one of the most important applications of biostatistics. Most of medical research begins with a research question that can be framed as a hypothesis.
Swati Patel
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Decision Maker’s Tool: Statistics, the Problem Solver [PDF]
Westcliff International Journal of Applied Research, 2018 The primary objective of every investor is to see how his money grows. No matter where one decides to plant or invest his money, there is an inevitable process that follows.
Faith Cajudo Orillaza
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Medical Statistics Series: Inferential Statistics (Part-II)
National Journal of Community Medicine, 2021 The purpose of this article is to provide detailed information of application of different inferential statistical methods and interpretation of its outcome values.
Swati Patel
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Imaging of neural oscillations with embedded inferential and group prevalence statistics. [PDF]
PLoS Computational Biology, 2018 Magnetoencephalography and electroencephalography (MEG, EEG) are essential techniques for studying distributed signal dynamics in the human brain. In particular, the functional role of neural oscillations remains to be clarified. For that reason, imaging
Peter W Donhauser +2 more
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Beyond Statistical Significance: A Holistic View of What Makes a Research Finding "Important"
Numeracy, 2023 Students often believe that statistical significance is the only determinant of whether a quantitative result is “important.” In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can ...
Jane Miller
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Risenologi, 2020 The lack of facilities and infrastructures for students with special needs will hamper the learning process. In fact, this has been explained in the definition of inclusive education which is to accommodate students with special needs to comprehend the ...
Chandra Halim, Febri Satria
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