Studied by 38 people

5.0(2)

Get a hint

Hint

1

statistic

Number that describes some characteristic of a sample.

New cards

2

parameter

A number that describes some characteristic of a population.

New cards

3

sampling variability

The fact that different random samples of the same size from the same population produce different estimates.

New cards

4

sampling distribution

The distribution of values taken by a statistic in all possible samples of the same size from the same population.

New cards

5

unbiased estimator

A statistic used for estimating a parameter is THIS if the mean of its sampling distribution is equal to the value of the parameter being estimated.

New cards

6

sampling distribution of a sample proportion

The distribution of values taken by the sample proportion in all possible samples of the same size from the same population.

New cards

7

sampling distribution of a sample mean

The distribution of values taken by the sample mean x in all possible samples of the same size from the same population.

New cards

8

central limit theorem (CLT)

In an SRS of size n from any population with mean µ and finite standard deviation σ, when n is sufficiently large, the sampling distribution of the sample mean x is approximately Normal.

New cards