Sentence examples for unrepresentative information from inspiring English sources

Exact(1)

People exaggerate the risk of loss; they like the status quo and tend to regard it as a norm; they overreact to sensational but unrepresentative information (the shark-attack phenomenon); they will pay extravagantly to punish cheaters, even when there is no benefit to themselves; and they often rank fairness and reciprocity ahead of self-interest.

Similar(59)

Key limitations in methodology included unrepresentative samples, information bias and lack of control of confounding.

Unrepresentative data samples are likely to reduce the utility of data classifiers in practical application.

Such standards may not be appropriate for conditions in developing countries like China, Mr. Wu said, adding that "we hope the few consulates in China would respect our country's relevant laws and regulations, and stop publishing this unrepresentative air-quality information".

The introduction of polls had larger effects in politically unrepresentative municipalities, where locally available information differs most from national polls.

A flawed analysis of unrepresentative state achievement data.

To flesh out his theories, Mr. D'Souza tosses out lots of assertions based on false information, partial truths and unrepresentative anecdotes.

So, Morningstar might give you great information that is completely unrepresentative of your investment.

In addition, it is possible that having such a heterogeneous group may dilute the information obtained and may be unrepresentative of the population's knowledge and attitudes to lead exposure.

Despite this, there have been very few systematic descriptions of the clinical characteristics of patients with eating disorder NOS, and those that exist have had shortcomings including the use of relatively small and unrepresentative patient samples, the collection of a limited range of descriptive information, and reliance on weak or unstandardised measures.

Outliers, or outlying obervations, are values in data which appear aberrant or unrepresentative.

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