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  2. Dixon's Q test - Wikipedia

    en.wikipedia.org/wiki/Dixon's_Q_test

    However, at 95% confidence, Q = 0.455 < 0.466 = Q table 0.167 is not considered an outlier. McBane [ 1 ] notes: Dixon provided related tests intended to search for more than one outlier, but they are much less frequently used than the r 10 or Q version that is intended to eliminate a single outlier.

  3. Net reclassification improvement - Wikipedia

    en.wikipedia.org/wiki/Net_reclassification...

    NRI attempts to quantify how well a new model correctly reclassifies subjects. Typically this comparison is between an original model (e.g. hip fractures as a function age and sex) and a new model which is the original model plus one additional component (e.g. hip fractures as a function of age, sex, and a genetic or proteomic biomarker).

  4. Confidence interval - Wikipedia

    en.wikipedia.org/wiki/Confidence_interval

    A 95% confidence level does not mean that 95% of the sample data lie within the confidence interval. A 95% confidence level does not mean that there is a 95% probability of the parameter estimate from a repeat of the experiment falling within the confidence interval computed from a given experiment. [25]

  5. Multiple comparisons problem - Wikipedia

    en.wikipedia.org/wiki/Multiple_comparisons_problem

    30 samples of 10 dots of random color (blue or red) are observed. On each sample, a two-tailed binomial test of the null hypothesis that blue and red are equally probable is performed. The first row shows the possible p-values as a function of the number of blue and red dots in the sample.

  6. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    When full census data cannot be collected, statisticians collect sample data by developing specific experiment designs and survey samples. Statistics itself also provides tools for prediction and forecasting through statistical models. To use a sample as a guide to an entire population, it is important that it truly represents the overall ...

  7. Kernel density estimation - Wikipedia

    en.wikipedia.org/wiki/Kernel_density_estimation

    Kernel density estimation of 100 normally distributed random numbers using different smoothing bandwidths.. In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights.

  8. Performance improvement - Wikipedia

    en.wikipedia.org/wiki/Performance_improvement

    Performance improvement can be applied to either individual performance, such as an athlete, or organisational performance, such as a racing team or a commercial business. The United States Coast Guard has published the Performance Improvement Guide (PIG) , [ 1 ] which describes various processes and tools for performance management at the ...

  9. Higher education bubble in the United States - Wikipedia

    en.wikipedia.org/wiki/Higher_education_bubble_in...

    There is concern that the possible higher education bubble in the United States could have negative repercussions in the broader economy. Although college tuition payments are rising, the supply of college graduates in many fields of study is exceeding the demand for their skills, which aggravates graduate unemployment and underemployment while increasing the burden of student loan defaults on ...