Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample...

Random-sampling mechanism Resampling (statistics) Pseudo-random number sampling Sample size determination Sampling (case studies) Sampling bias Sampling distribution...

Since the sample error can often be estimated beforehand as a function of the sample size, various methods of sample size determination are used to...

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...

subgroups' sample sizes proportional to the amount of data available from the subgroups, rather than scaling sample sizes to subgroup sizes (or to their...

x ¯ {\displaystyle {\bar {x}}} is the sample mean, s is the sample standard deviation and n is the sample size. The degrees of freedom used in this test...

a computer, sampling from it to form a new sample (called a 'resample' or bootstrap sample) that is also of size N. The bootstrap sample is taken from...

expected value of the raw sample moment is equal to the k-th raw moment of the population, if that moment exists, for any sample size n. It is thus an unbiased...

a sample is taken without knowing, in advance, how many observations will be acceptable according to some criterion. In such cases, the sample size N...

{\displaystyle c_{\rm {v}}\,} itself. For many practical purposes (such as sample size determination and calculation of confidence intervals) it is s l n {\displaystyle...

the sampling mean distribution obtained is equal to the variance of the population divided by the sample size. This is because as the sample size increases...

square root of the sample size, and is estimated by using the sample standard deviation divided by the square root of the sample size. For example, a poll's...

is false. Such considerations can be used for the purpose of sample size determination prior to the collection of data. An example of Neyman–Pearson...

given sample size. The sampling distribution depends on the underlying distribution of the population, the statistic being considered, the sampling procedure...

n {\displaystyle n} is the sample size: Sample median ∼ N ( μ = m , σ 2 = 1 4 n f ( m ) 2 ) {\displaystyle {\text{Sample median}}\sim {\mathcal {N}}{\left(\mu...

univariate sample of quantitative data. It can also refer to the population parameter that is estimated by the MAD calculated from a sample. For a univariate...

number of interviews and costs given the desired accuracy. For a fixed sample size, the expected random error is smaller when most of the variation in the...

hypothesis test used in the analysis of contingency tables when the sample sizes are large. In simpler terms, this test is primarily used to examine whether...

Cross-validation, sometimes called rotation estimation or out-of-sample testing, is any of various similar model validation techniques for assessing how...

Cramér's V is equal to the absolute value of Phi coefficient. Let a sample of size n of the simultaneously distributed variables A {\displaystyle A} and...

(intervals) are adjacent and are typically (but not required to be) of equal size. Histograms give a rough sense of the density of the underlying distribution...

the sample means of X {\displaystyle X} and Y {\displaystyle Y} , and s x {\displaystyle s_{x}} and s y {\displaystyle s_{y}} are the corrected sample standard...

the difference between the largest and smallest values (also known as the sample maximum and minimum). It is expressed in the same units as the data. The...

statistical tests. Within this framework, it is often assumed that the sample size n may grow indefinitely; the properties of estimators and tests are then...

of the sample skewness is thus approximately 6 / n {\displaystyle 6/n} for sufficiently large samples. More precisely, in a random sample of size n from...

Laplace, after proving the central limit theorem, used it to give a large sample justification for the method of least squares and the normal distribution...

population size and E is the expectation operator. Assuming that the variance is not infinite and that the central limit theorem applies to the sample then...

internally consistent relationships. Sample size determination Sampling (statistics) Total survey error "Non-Probability Sampling - AAPOR". www.aapor.org. Retrieved...

Census long form responses for the short form households. He then released samples that did not include any actual long form records - in this he preserved...

normally distributed. Like most statistical significance tests, if the sample size is sufficiently large this test may detect even trivial departures from...