Journals / Hitit Sosyal Bilimler Dergisi / 2016 / Cilt: 9 - Sayı: 1

HOW AND WHY WE NEED TO TEACH STANDARDERROR: TEACHING STANDARD ERROR AS A PRIMER ON THE SAMPLING DISTRIBUTION WITH A NEW MOBILE APPLICATION

Pages
0–0
Publication Date
2016-06-15
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This paper also offers a new mobile application to teach understandably the influences of various parameters and statistics on sampling distribution and standard error.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Null hypothesis statistical significance testing (NHST) is a vital, frequently utilized, but contentious topic in the field of statistics.
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Key Findings & Data:Applying statistics to a problem, it is necessary to comprehend NHST and the sampling distribution.
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Conclusion & Impact:This paper also offers a new mobile application to teach understandably the influences of various parameters and statistics on sampling distribution and standard error.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Null hypothesis statistical significance testing (NHST) is a vital, frequently utilized, but contentious topic in the field of statistics. Applying statistics to a problem, it is necessary to comprehend NHST and the sampling distribution. Another crucial topic, which is related to NHST and the sampling distribution, is the standard error­­, a standard deviation-form function obtained from the sampling distribution. This paper provides an outline of these important concepts to help students understand and ponder these concepts logically. This paper also offers a new mobile application to teach understandably the influences of various parameters and statistics on sampling distribution and standard error.

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Cite This Article

TOP, N., ÖREN, M. (2016). HOW AND WHY WE NEED TO TEACH STANDARDERROR: TEACHING STANDARD ERROR AS A PRIMER ON THE SAMPLING DISTRIBUTION WITH A NEW MOBILE APPLICATION. Hitit Sosyal Bilimler Dergisi, Cilt: 9 - Sayı: 1, 0–0. https://ajindex.com/articles/102790

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