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  2. Skewness - Wikipedia

    en.wikipedia.org/wiki/Skewness

    Example distribution with positive skewness. These data are from experiments on wheat grass growth. In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive, zero, negative, or undefined.

  3. Higher-order statistics - Wikipedia

    en.wikipedia.org/wiki/Higher-order_statistics

    HOS are particularly used in the estimation of shape parameters, such as skewness and kurtosis, as when measuring the deviation of a distribution from the normal distribution. In statistical theory , one long-established approach to higher-order statistics, for univariate and multivariate distributions is through the use of cumulants and joint ...

  4. Bias (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bias_(statistics)

    Statistical bias exists in numerous stages of the data collection and analysis process, including: the source of the data, the methods used to collect the data, the estimator chosen, and the methods used to analyze the data. Data analysts can take various measures at each stage of the process to reduce the impact of statistical bias in their ...

  5. Skewness risk - Wikipedia

    en.wikipedia.org/wiki/Skewness_risk

    Ignoring skewness risk, by assuming that variables are symmetrically distributed when they are not, will cause any model to understate the risk of variables with high skewness. Skewness risk plays an important role in hypothesis testing. The analysis of variance, one of the most common tests used in hypothesis testing, assumes that the data is ...

  6. Nonparametric skew - Wikipedia

    en.wikipedia.org/wiki/Nonparametric_skew

    In statistics and probability theory, the nonparametric skew is a statistic occasionally used with random variables that take real values. [ 1 ] [ 2 ] It is a measure of the skewness of a random variable's distribution —that is, the distribution's tendency to "lean" to one side or the other of the mean .

  7. L-moment - Wikipedia

    en.wikipedia.org/wiki/L-moment

    As an example consider a dataset with a few data points and one outlying data value. If the ordinary standard deviation of this data set is taken it will be highly influenced by this one point: however, if the L-scale is taken it will be far less sensitive to this data value. Consequently, L-moments are far more meaningful when dealing with ...

  8. Smartwatch and fitness tracker bands have elevated levels of ...

    www.aol.com/lifestyle/smartwatch-fitness-tracker...

    Smartwatches are a hot-ticket gift over the holidays, but a new study might have you rethink how you strap the device to your wrist in the future.

  9. Descriptive statistics - Wikipedia

    en.wikipedia.org/wiki/Descriptive_statistics

    The slope, in regression analysis, also reflects the relationship between variables. The unstandardised slope indicates the unit change in the criterion variable for a one unit change in the predictor. The standardised slope indicates this change in standardised units. Highly skewed data are often transformed by taking logarithms.