7 terms in 14
14.1: Parameter
A parameter is a numerical property of an entire population. Parameters are typically unknown and fixed for a given popu
Estimation
14.1: Parameter
A statistic is a numerical property of a sample, calculated from the observed data. Common statistics include x̄ (sample
Estimation
14.1: Parameter
A statistic is an unbiased estimator of a parameter if E(statistic) = parameter. For example, the sample mean x̄ is an u
Estimation
14.1: Parameter
The standard error (SE) is the standard deviation of a statistic's sampling distribution. For the sample mean, SE(x̄) =
Estimation
14.2: Central Limit Theorem
The Central Limit Theorem states that if X₁, X₂, ..., Xₙ are independent random variables from any distribution with mea
Estimation
14.2: Central Limit Theorem
The sampling distribution of a statistic is the probability distribution of that statistic calculated from all possible
Estimation
14.2: Central Limit Theorem
The bootstrap generates confidence intervals and estimates sampling distributions by repeatedly resampling from the obse
Estimation