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  2. List of fastest production motorcycles by acceleration

    en.wikipedia.org/wiki/List_of_fastest_production...

    A Suzuki GSX-R1000 at a drag strip – a 2006 model once recorded a 0 to 60 mph time of 2.35 seconds. This is a list of street legal production motorcycles ranked by acceleration from a standing start, limited to 0 to 60 mph times of under 3.5 seconds, and 14-mile times of under 12 seconds.

  3. Rollout (drag racing) - Wikipedia

    en.wikipedia.org/wiki/Rollout_(drag_racing)

    Rollout or rollout allowance is an adjustment in timed acceleration runs used by North-American drag racing and enthusiast magazines [citation needed] to create approximate parity over time between historic 0 to 60 mph and 1/4 mile acceleration times and those measured today using the Global Positioning System (GPS).

  4. Wilcoxon signed-rank test - Wikipedia

    en.wikipedia.org/wiki/Wilcoxon_signed-rank_test

    The Wilcoxon signed-rank test is a non-parametric rank test for statistical hypothesis testing used either to test the location of a population based on a sample of data, or to compare the locations of two populations using two matched samples. [1]

  5. Statistical hypothesis test - Wikipedia

    en.wikipedia.org/wiki/Statistical_hypothesis_test

    The test statistic was a simple count of the number of successes in selecting the 4 cups. The critical region was the single case of 4 successes of 4 possible based on a conventional probability criterion (< 5%). A pattern of 4 successes corresponds to 1 out of 70 possible combinations (p≈ 1.4%).

  6. Bayesian information criterion - Wikipedia

    en.wikipedia.org/wiki/Bayesian_information_criterion

    ^ = the maximized value of the likelihood function of the model , i.e. ^ = (^,), where {^} are the parameter values that maximize the likelihood function and is the observed data; n {\\displaystyle n} = the number of data points in x {\\displaystyle x} , the number of observations , or equivalently, the sample size;

  7. Log-linear analysis - Wikipedia

    en.wikipedia.org/wiki/Log-linear_analysis

    The goal of log-linear analysis is to determine which model components are necessary to retain in order to best account for the data. Model components are the number of main effects and interactions in the model. For example, if we examine the relationship between three variables—variable A, variable B, and variable C—there are seven model ...

  8. Instrumental variables estimation - Wikipedia

    en.wikipedia.org/wiki/Instrumental_variables...

    One computational method which can be used to calculate IV estimates is two-stage least squares (2SLS or TSLS). In the first stage, each explanatory variable that is an endogenous covariate in the equation of interest is regressed on all of the exogenous variables in the model, including both exogenous covariates in the equation of interest and ...

  9. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...