Sentence examples for statistical fallacy from inspiring English sources
The phrase "statistical fallacy" is correct and usable in written English.
It can be used when discussing errors or misconceptions that arise from incorrect interpretations of statistical data or methods. Example: "The conclusion drawn from the survey was a statistical fallacy, as it did not account for the sample size."
I try to remember that "normal" is a projection, a statistical fallacy similar in its workings to Ruskin's pathetic fallacy.
The data are partly a statistical fallacy because a majority of the Latinos counted are immigrants, many with weak English skills.
The more we tell people that there is a meaning gap between the one-in-a-squillion chance of finding the winning ticket and the one-in-several-million chance of buying it, the more we encourage the statistical fallacy that events are inherently more likely if they're very splashy and interesting to consider.
Joyable and Happify's reported success rates employ a common statistical fallacy known as survival bias.
As a result, σ-convergence in our framework still captures unconditional estimates of local, high-resolution deviations as in [22] while avoiding statistical fallacies required for testing across samples that are grouped by means in a specific year.
Base rate fallacy: when available statistical data (base rates) are ignored in favor of one's own hypothesis [ 20].
While the use of CI increased over time, the "significance fallacy" (to equate statistical and substantive significance) appeared very often, mainly in journals devoted to clinical specialties (81%).
This is a classic statistical error called the gambler's fallacy.
Since model 2 does not control for individual characteristics, so the above results cannot be regarded as firm evidence of regional and industrial effects in that they can as well be a reflection of a statistical artifact due to an instance of ecological fallacy.
Treatment group assignment can, however, have a different risk pattern at baseline, and this can lead to groups being less comparable after statistical adjustment (for example, regression) owing to the "constant risk fallacy" where the assumption of constant risk across different organisations (for example, hospitals) may be inappropriate.
They have been criticized because of ecological fallacy and the problem of geographic scale, the lack of statistical rigor, and the inability to appropriately define risks or health measures [ 30, 31].
