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  2. Normalcy bias - Wikipedia

    en.wikipedia.org/wiki/Normalcy_bias

    Normalcy bias, or normality bias, is a cognitive bias which leads people to disbelieve or minimize threat warnings. [1] Consequently, individuals underestimate the likelihood of a disaster, when it might affect them, and its potential adverse effects. [ 2 ]

  3. List of cognitive biases - Wikipedia

    en.wikipedia.org/wiki/List_of_cognitive_biases

    In psychology and cognitive science, a memory bias is a cognitive bias that either enhances or impairs the recall of a memory (either the chances that the memory will be recalled at all, or the amount of time it takes for it to be recalled, or both), or that alters the content of a reported memory. There are many types of memory bias, including:

  4. Normality - Wikipedia

    en.wikipedia.org/wiki/Normality

    Asymptotic normality, in mathematics and statistics; Complete normality or normal space, Log-normality, in probability theory; Normality (category theory) Normality (statistics) or normal distribution, in probability theory; Normality tests, used to determine if a data set is well-modeled by a normal distribution

  5. Heckman correction - Wikipedia

    en.wikipedia.org/wiki/Heckman_correction

    Heckman's correction involves a normality assumption, provides a test for sample selection bias and formula for bias corrected model. Suppose that a researcher wants to estimate the determinants of wage offers, but has access to wage observations for only those who work.

  6. Bias of an estimator - Wikipedia

    en.wikipedia.org/wiki/Bias_of_an_estimator

    Bias is a distinct concept from consistency: consistent estimators converge in probability to the true value of the parameter, but may be biased or unbiased (see bias versus consistency for more). All else being equal, an unbiased estimator is preferable to a biased estimator, although in practice, biased estimators (with generally small bias ...

  7. Unbiased estimation of standard deviation - Wikipedia

    en.wikipedia.org/wiki/Unbiased_estimation_of...

    Correction factor versus sample size n.. When the random variable is normally distributed, a minor correction exists to eliminate the bias.To derive the correction, note that for normally distributed X, Cochran's theorem implies that () / has a chi square distribution with degrees of freedom and thus its square root, / has a chi distribution with degrees of freedom.

  8. Bias - Wikipedia

    en.wikipedia.org/wiki/Bias

    An implicit bias, or implicit stereotype, is the unconscious attribution of particular qualities to a member of a certain social group. [164] Implicit stereotypes are shaped by experience and based on learned associations between particular qualities and social categories, including race and/or gender.

  9. Normality test - Wikipedia

    en.wikipedia.org/wiki/Normality_test

    A graphical tool for assessing normality is the normal probability plot, a quantile-quantile plot (QQ plot) of the standardized data against the standard normal distribution. Here the correlation between the sample data and normal quantiles (a measure of the goodness of fit) measures how well the data are modeled by a normal distribution. For ...