Unit 7

Definitions

100

An interval that uses sample data to estimate the target parameter

Confidence Interval

200

The probability that a confidence contains the population parameter

Confidence Coefficient

300

The confidence coefficient expressed as a percentage

Confidence Level

400

The unknown population parameter we are interested in estimating

Target Parameter

500

A rule or formula that tells us how to use the sample data to calculate a single number that can be used as an estimate of the target parameter

Point Estimator

Rules

100

A large-sample confidence interval for population mean requires a sample size greater than this number

30

200

A large-sample confidence interval for population mean uses this type of distribution 

Z

300

A small-sample confidence interval for population mean uses this type of distribution

t

400

For the sampling distribution of p-hat, a sample size is considered to be large if n(p-hat) and n(q-hat) are greater than this value

15

500

If the conditions for a large-sample population proportion confidence interval are not met, we can use this adjustment

Wilson's Adjustment