Skip to main content

QUAN 2010 Notes Introduction to Business Statistics

Section 6.1 Types of Sampling

A probability sample is a sample in which each member of the population has a known, nonzero chance of being selected for the sample. There are five main types:

Definition 6.1.1.

  • simple random sample: a sample in which every member of the population has an equal chance of being chosen
  • systematic sampling: every \(k\)th member of the population is chosen for the sample; \(k=\frac{\text{size of population, }N}{\text{size of sample, }n}\)
  • stratified sampling: the population is divided into mutually exclusive groups (strata) and randomly chosen members from the groups are chosen for the sample
  • cluster sampling: the population is divided into mutually exclusive groups (clusters) and then one or more clusters is chosen for the sample
  • convencience sample: members of a sample are chosen because they are easily accessible

Definition 6.1.2.

resampling: the statistical technique in which many samples are repeatedly drawn from a population

Exercise 6.1.3.

Exercise 6.1.4.

Exercise 6.1.5.

Exercise 6.1.6.

(Donnelly, Your Turn 1)
Identify the type of sampling technique used below.
Sixty percent of students attending a certain college are women. A random sample of college students is constructed that consists of 60% women from the student population to ask what their opinions are of the college’s food service.

Exercise 6.1.7.