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  2. Frequency (statistics) - Wikipedia

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

    Decide the width of the classes, denoted by h and obtained by = (assuming the class intervals are the same for all classes). Generally the class interval or class width is the same for all classes. The classes all taken together must cover at least the distance from the lowest value (minimum) in the data to the highest (maximum) value.

  3. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power. In complex studies ...

  4. Scott's rule - Wikipedia

    en.wikipedia.org/wiki/Scott's_Rule

    With this value of bin width Scott demonstrates that [5] IMSE ∝ n − 2 / 3 {\displaystyle {\text{IMSE}}\propto n^{-2/3}} showing how quickly the histogram approximation approaches the true distribution as the number of samples increases.

  5. Class size - Wikipedia

    en.wikipedia.org/wiki/Class_size

    These laws may set caps on individual class sizes, on school-wide student-teacher ratio, or class size averages in one or more grades. Several states have relaxed those requirements since 2008. Florida's class size cap was established over the course of several years, in response to a statewide referendum in 2002 that amended its state ...

  6. Confidence interval - Wikipedia

    en.wikipedia.org/wiki/Confidence_interval

    Factors affecting the width of the CI include the sample size, the variability in the sample, and the confidence level. [4] All else being the same, a larger sample produces a narrower confidence interval, greater variability in the sample produces a wider confidence interval, and a higher confidence level produces a wider confidence interval.

  7. Effect size - Wikipedia

    en.wikipedia.org/wiki/Effect_size

    In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity. It can refer to the value of a statistic calculated from a sample of data, the value of one parameter for a hypothetical population, or to the equation that operationalizes how statistics or parameters lead to the effect size ...

  8. Standard deviation - Wikipedia

    en.wikipedia.org/wiki/Standard_deviation

    The mean and the standard deviation of a set of data are descriptive statistics usually reported together. In a certain sense, the standard deviation is a "natural" measure of statistical dispersion if the center of the data is measured about the mean. This is because the standard deviation from the mean is smaller than from any other point.

  9. Axiom of limitation of size - Wikipedia

    en.wikipedia.org/wiki/Axiom_of_limitation_of_size

    A class that is a member of a class is a set; a class that is not a set is a proper class. Every class is a subclass of V, the class of all sets. [a] The axiom of limitation of size says that a class is a set if and only if it is smaller than V—that is, there is no function mapping it onto V.