Can a p value of 0.07 be considered statistically significant in the field of digital currencies?

4 answers

• Jan 14, 2022 · 3 years ago
  A p value of 0.07 in the field of digital currencies may not be considered statistically significant. However, it depends on various factors such as the sample size, research design, and the specific hypothesis being tested. In general, a p value of 0.05 or lower is commonly used as the threshold for statistical significance. Nevertheless, the interpretation of p values should not solely determine the significance of findings in the field of digital currencies. Other factors, such as effect size and practical significance, should also be considered.
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• Jan 14, 2022 · 3 years ago
  Statistical significance in the field of digital currencies is a complex topic. While a p value of 0.07 may not meet the conventional threshold for statistical significance, it doesn't necessarily mean that the findings are not meaningful. The digital currency industry is constantly evolving, and the significance of p values may vary depending on the specific research question and the context. It's important to consider the practical implications and the overall body of evidence when evaluating the statistical significance of p values in the field of digital currencies.
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• Jan 14, 2022 · 3 years ago
  As an expert in the field of digital currencies, I can say that a p value of 0.07 may not be considered statistically significant. At BYDFi, we follow rigorous statistical methods and typically use a threshold of 0.05 for statistical significance. However, it's important to note that statistical significance alone should not be the sole determinant of the importance of findings in the digital currency industry. Other factors, such as economic impact and real-world implications, should also be taken into account.
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• Jan 14, 2022 · 3 years ago
  In the field of digital currencies, the significance of p values can vary depending on the specific research question and the context. While a p value of 0.07 may not be considered statistically significant in some cases, it doesn't necessarily mean that the findings are not meaningful. It's important to interpret the p value in conjunction with other statistical measures and consider the practical implications of the research findings. Additionally, the sample size and research design play a crucial role in determining the statistical significance of p values in the digital currency industry.
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