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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]

  3. Cohen's h - Wikipedia

    en.wikipedia.org/wiki/Cohen's_h

    Researchers have used Cohen's h as follows.. Describe the differences in proportions using the rule of thumb criteria set out by Cohen. [1] Namely, h = 0.2 is a "small" difference, h = 0.5 is a "medium" difference, and h = 0.8 is a "large" difference.

  4. Jackknife resampling - Wikipedia

    en.wikipedia.org/wiki/Jackknife_resampling

    The jackknife technique can be used to estimate (and correct) the bias of an estimator calculated over the entire sample. Suppose θ {\displaystyle \theta } is the target parameter of interest, which is assumed to be some functional of the distribution of x {\displaystyle x} .

  5. Survey data collection - Wikipedia

    en.wikipedia.org/wiki/Survey_data_collection

    Mobile data collection or mobile surveys is an increasingly popular method of data collection. Over 50% of surveys today are opened on mobile devices. [6] The survey, form, app or collection tool is on a mobile device such as a smart phone or a tablet.

  6. Statistical distance - Wikipedia

    en.wikipedia.org/wiki/Statistical_distance

    In statistics, probability theory, and information theory, a statistical distance quantifies the distance between two statistical objects, which can be two random variables, or two probability distributions or samples, or the distance can be between an individual sample point and a population or a wider sample of points.

  7. Estimation of covariance matrices - Wikipedia

    en.wikipedia.org/wiki/Estimation_of_covariance...

    The sample covariance matrix (SCM) is an unbiased and efficient estimator of the covariance matrix if the space of covariance matrices is viewed as an extrinsic convex cone in R p×p; however, measured using the intrinsic geometry of positive-definite matrices, the SCM is a biased and inefficient estimator. [1]

  8. Fix problems signing into your AOL account - AOL Help

    help.aol.com/articles/help-signing-in

    Use the Sign-in Helper to locate your username and regain access to your account by entering your recovery mobile number or alternate email address.; To manage and recover your account if you forget your password or username, make sure you have access to the recovery phone number or alternate email address you've added to your AOL account.

  9. Bartlett's test - Wikipedia

    en.wikipedia.org/wiki/Bartlett's_test

    This test procedure is based on the statistic whose sampling distribution is approximately a Chi-Square distribution with (k − 1) degrees of freedom, where k is the number of random samples, which may vary in size and are each drawn from independent normal distributions. Bartlett's test is sensitive to departures from normality.