Figure 3 - uploaded by Joseph Lockhart
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The effect of sample size on the sampling distribution. As the size of the sample drawn from the population increases, the sampling error gets narrower.
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Experts in many fields, including forensic psychology and psychiatry, are asked to provide risk assessments regarding future events. These risk estimates are used in individual decision-making, often with life-changing consequences. How should the expert conceptualize individual risk? And, how is such risk best communicated to the trier-of-fact? Un...
Context in source publication
Context 1
... can be seen from Figure 3, the larger the sample is, the closer it will be in estimating the parameter of interest (the population mean, in this case). All of the sampling error formulas for our statistics of interest (mean, standard deviation, or proportion) include the sample size as an essential part of their formula. As the sample size increases, the sampling error (also called the "standard error") gets smaller. This is a consequence of the Central Limit Theorem ("Central limit theorem," ...
