Statistical Significance
Statistical significance is a way of quantifying whether results in data are not likely due to chance, usually using a p-value threshold.
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Data glossaryP-value
The P value, or calculated probability, is a statistical concept that is used in hypothesis testing to help determine statistical significance.
The P value, or calculated probability, is a statistical concept that is used in many academic papers to indicate the likelihood that an observed result is simply based on chance.
Hence a lower p-value means that it is unlikely that the result is accidental.
Or in other words: A p-value of 0.05 is the same as saying “5% of the time, we would see this by chance".
In practice
Most authors refer to statistically significant as P < 0.05 and statistically highly significant as P < 0.001 (less than one in a thousand chance of being wrong).
Common thresholds are: P < 0.05 P < 0.01 P < 0.001
Statistical Significance
Statistical significance is a way of quantifying whether results in data are not likely due to chance, usually using a p-value threshold.
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Anonymization
Data anonymization is a type of process to remove sensitive information to protect the identity of individuals in datasets.
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Blockchain
A blockchain is a growing list of records, called blocks, that are linked using cryptography to create a secure and tamper-evident ledger.
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