CB.Stats.UNC-3

Random variables and sampling distributions.

CB.Stats.UNC-3.AEstimate probabilities of binomial random variables using data from a simulation.CB.Stats.UNC-3.BCalculate probabilities for a binomial distribution.CB.Stats.UNC-3.CCalculate parameters for a binomial distribution.CB.Stats.UNC-3.DInterpret probabilities and parameters for a binomial distribution.CB.Stats.UNC-3.ECalculate probabilities for geometric random variables.CB.Stats.UNC-3.FCalculate parameters of a geometric distribution.CB.Stats.UNC-3.GInterpret probabilities and parameters for a geometric distribution.CB.Stats.UNC-3.HEstimate sampling distributions using simulation.CB.Stats.UNC-3.IExplain why an estimator is or is not unbiased.CB.Stats.UNC-3.JCalculate estimates for a population parameter.CB.Stats.UNC-3.KDetermine parameters of a sampling distribution for sample proportions.CB.Stats.UNC-3.LDetermine whether a sampling distribution for a sample proportion can be described as approximately normal.CB.Stats.UNC-3.MInterpret probabilities and parameters for a sampling distribution for a sample proportion.CB.Stats.UNC-3.NDetermine parameters of a sampling distribution for a difference in sample proportions.CB.Stats.UNC-3.ODetermine whether a sampling distribution for a difference of sample proportions can be described as approximately normal.CB.Stats.UNC-3.PInterpret probabilities and parameters for a sampling distribution for a difference in proportions.CB.Stats.UNC-3.QDetermine parameters of a sampling distribution for a sample mean.CB.Stats.UNC-3.RDetermine whether a sampling distribution of a sample mean can be described as approximately normal.CB.Stats.UNC-3.SInterpret probabilities and parameters for a sampling distribution for a sample mean.CB.Stats.UNC-3.TDetermine parameters of a sampling distribution for a difference in sample means.CB.Stats.UNC-3.UDetermine whether a sampling distribution of a difference in sample means can be described as approximately normal.CB.Stats.UNC-3.VInterpret probabilities and parameters for a sampling distribution for a difference in sample means.
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