1. Section 13.1 Sampling Techniques

2. What You Will Learn Sampling Techniques Random Sampling
Systematic Sampling
Cluster Sampling
Stratified Sampling
Convenience Sampling

3. Statistics
Statistics is the art and science of gathering, analyzing, and making inferences (predictions) from numerical information, data, obtained in an experiment.

4. Statistics Statistics is divided into two main branches.
Descriptive statistics is concerned with the collection, organization, and analysis of data.
Inferential statistics is concerned with making generalizations or predictions from the data collected.

5. Statisticians
A statistician’s interest lies in drawing conclusions about possible outcomes through observations of only a few particular events.
The population consists of all items or people of interest.
The sample includes some of the items in the population.

6. Statisticians
When a statistician draws a conclusion from a sample, there is always the possibility that the conclusion is incorrect.

7. Types of Sampling
A random sampling occurs if a sample is drawn in such a way that each time an item is selected, each item has an equal chance of being drawn.

8. Types of Sampling
When a sample is obtained by drawing every nth item on a list or production line, the sample is a systematic sample.

9. Types of Sampling
A cluster sample is sometimes referred to as an area sample because it is frequently applied on a geographical basis.

10. Types of Sampling
Stratified sampling involves dividing the population by characteristics called stratifying factors such as gender, race, religion, or income.

11. Types of Sampling
Convenience sampling uses data that are easily or readily obtained, and can be extremely biased.

12. Example 1: Identifying Sampling Techniques
Identify the sampling technique used to obtain a sample in the following. Explain your answer.
a) Every 20th soup can coming off an assembly line is checked for defects.
Solution
Systematic Sampling
Every 20th item is selected.

13. Example 1: Identifying Sampling Techniques
b) A $50 gift certificate is given away at the Annual Bankers Convention. Tickets are placed in a bin, and the tickets are mixed up. Then the winning ticket is selected by a blindfolded person.
Solution
Random Sampling
Each ticket has an equal chance.

14. Example 1: Identifying Sampling Techniques
c) Children in a large city are classified based on the neighborhood school they attend. A random sample of five schools is selected. All the children from each selected school are included in the sample.
Solution
Cluster Sampling
Random sample of geographic areas is selected.

15. Example 1: Identifying Sampling Techniques
d) The first 50 people entering a zoo are asked if they support an increase in taxes to support a zoo expansion.
Solution
Convenience Sampling
Sample is selected by picking data that is easily obtained.

16. Example 1: Identifying Sampling Techniques
e) Viewers of the USA Network are classified according to age. Random samples from each age group are selected.
Solution
Stratified Sampling
Viewers divided into strata by age, random sample from each strata.