fickernuit's version from 2017-06-27 03:17


Question Answer
Continuous Random VariableA random variable that may assume any numerical value in an interval or collection of intervals
Sampled populationis the population from the sample is drawn
Statistical Inferencethe process of obtaining data from a sample to make estimates or test hypotheses about the characteristics.
Parametera numerical characteristic of a population
Frameis a listing of the elements that the sample will be selected
Sample Statisticthe corresponding characteristic of the sample in order to estimate the value of a population parameter.
Point EstimatorThe sample statistic x, s or p that provides the point estimate of the population
Target Populationthe population for which statistical inference such as point estimates are made. It is important the target population to correspond closely to the sample population.
Unbiaseda property of a point estimator that is present when the expected value of the point estimator is equal to the population parameter it estimates.
Standard errorthe standard deviation of a point estimator
Sampling errorThe difference between an unbiased point estimate and the corresponding population parameter is called
Sampling Distributionis a probability distribution consisting of all possible values of a sample statistic.
Central Limit Theorema theorem that enables one to use the normal probability distribution to approximate the sampling distribution of x whenever the sample size is large