Chapter 7.1-7.2

Statistical inference always involves uncertainty.

The probability distribution of p hat has a special name:

Statisticians evaluate the method used for a survey, not the outcome of a single survey

Precision is measured using the standard deviation of the sampling distribution, which is called the standard error.

An important difference between statistics and parameters is that parameters are knowable.

In which way(s) can bias (a tendency to produce an untrue value) enter a survey

A numerical value that characterizes some aspect of a population is called a

When the standard error is small, we say the estimator is precise.

A population is a group of objects or people we wish to study.

The value of p(the population proportion)changes from sample to sample, but the value of sample proportion is the same

A survey in which every member of the population is measured is called a

Bias is measured using the center of the sampling distribution: It's the distance between center and population value

A sample is a collection of people or objects taken from the population of interest.

A more subtle form of bias happens when those being surveyed fail to answer a question or respond to a survey. This is

A numerical characteristic of a sample of data is called a