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14 Cards in this Set

  • Front
  • Back

Sampling Distribution

Specifies probabilities of a value that a statistic can take

Standard Error

Thestandard deviation of a sampling distribution

The mean of the sample means is equal tothe __________

population mean. μ_y ̅ =μ

A _________ is a single number that is the best guess for the parameter.

point estimate

The __________ refers to a particular type of statistic for estimating a parameter and the ___________ refers to its value for a specific sample.

point estimator


point estimate

The sample mean and sample proportion are examples of ______________.

point estimators

An _____________ is an interval of numbers around the point estimate, within which the ______________ is believed to fall.

interval estimate


parameter value

Becauseinterval estimates contain the parameter with a certain degree of confidence,they are referred to as ___________

confidence intervals

The probability that this method produces an intervalthat contains the parameter is called the _________________.

confidence level

Quantitative Variables

We estimate the population mean.

Categorical Variables

We estimate population proportions of the categories.

Asthevariability (i.e., spread) in the sampling distribution decreases, the amountof _________ in the estimate decreases

uncertainty

Use Z if



Pop distribution: Normal,


SD: Known


Sample size: Any size




or




Pop Distribution Nonnormal


Size: <30

Uze T if

Population distribution: Normal


SD: Unknown


Size: Any size