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Sample size determination information


Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. 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, different sample sizes may be allocated, such as in stratified surveys or experimental designs with multiple treatment groups. In a census, data is sought for an entire population, hence the intended sample size is equal to the population. In experimental design, where a study may be divided into different treatment groups, there may be different sample sizes for each group.

Sample sizes may be chosen in several ways:

  • using experience – small samples, though sometimes unavoidable, can result in wide confidence intervals and risk of errors in statistical hypothesis testing.
  • using a target variance for an estimate to be derived from the sample eventually obtained, i.e., if a high precision is required (narrow confidence interval) this translates to a low target variance of the estimator.
  • the use of a power target, i.e. the power of statistical test to be applied once the sample is collected.
  • using a confidence level, i.e. the larger the required confidence level, the larger the sample size (given a constant precision requirement).

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Sample size determination

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

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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...

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Standard error

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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...

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Variance

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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...

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Stratified sampling

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

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Coefficient of variation

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{\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...

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Regression analysis

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the mean square error (MSE) of the regression. The denominator is the sample size reduced by the number of model parameters estimated from the same data...

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Median

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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...

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Effect size

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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...

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Correlation coefficient

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may be two columns of a given data set of observations, often called a sample, or two components of a multivariate random variable with a known distribution...

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Cluster sampling

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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...

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Standard deviation

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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...

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Sampling distribution

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

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Histogram

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(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...

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Power of a test

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Lehr's (rough) rule of thumb says that the sample size n {\displaystyle n} (each group) for a two-sided two-sample t-test with power 80% ( β = 0.2 {\displaystyle...

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Pearson correlation coefficient

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{y}})^{2}}}}}} where n {\displaystyle n} is sample size x i , y i {\displaystyle x_{i},y_{i}} are the individual sample points indexed with i x ¯ = 1 n ∑ i =...

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Median absolute deviation

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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...

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Order statistic

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that four numbers are observed or recorded, resulting in a sample of size 4. If the sample values are 6, 9, 3, 8, the order statistics would be denoted...

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Statistical hypothesis test

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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...

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Empirical distribution function

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is the distribution function associated with the empirical measure of a sample. This cumulative distribution function is a step function that jumps up...

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Opinion poll

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Opinion Research World Association for Public Opinion Research Sample size determination Straw poll Swing (politics) Types of democracy Wiki survey Tankard...

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Harmonic mean

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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...

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Stratified randomization

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population. Sampling Simple random sampling Stratified sampling Stratification(clinical trials) Quota sampling Sample size determination Sampling error Nickolas...

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