What is 'Statistical Significance'. Statistical significance means that a result from testing or experimenting is not likely to occur randomly or by chance, but is instead likely to be attributable to a specific cause.
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Set of data large enough to represent the phenomenon or population being studied. By convention, a finding is called statistically significant if the probability of its occurrence purely by chance is less than 1 in 20 (five percent). See also statistical significance.
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Use statistically significant in a sentence. We presented the statistically significant data that was meaningful to the senior financial analyst who then presented it to management.
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10 most extreme places on Earth. Statistical significance is a mathematical tool that is used to determine whether the outcome of an experiment is the result of a relationship between specific factors or merely the result of chance.
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Top 10 unbelievable historical concurrencies. Statistical significance is a mathematical tool that is used to determine whether the outcome of an experiment is the result of a relationship between specific factors or merely the result of chance.
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The likelihood that a result or relationship is caused by something ... A subset containing the characteristics of a larger population. ... A probability distribution of a statistic obtained through a ... A process used in statistical analysis in which a predetermined ...
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Top 10 facts about the world. Statistical significance is a mathematical tool that is used to determine whether the outcome of an experiment is the result of a relationship between specific factors or merely the result of chance.
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10 hilariously insightful foreign words. Statistical significance is a mathematical tool that is used to determine whether the outcome of an experiment is the result of a relationship between specific factors or merely the result of chance.
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The confidence level indicates the degree of confidence that the statistical result did not occur by chance or by sampling error. The customary confidence level in many statistical tests is 95%, leading to a customary significance level or p-value of 5%.
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Statistical significance can be strong or weak, and it is important to disciplines that rely heavily on analyzing data and research, such as finance, investing, medicine, physics and biology.
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what is statistically significant
Statistical significance is a mathematical tool that is used to determine whether the outcome of an experiment is the result of a relationship between specific factors or merely the result of chance.