Chapter12

# Chapter12 - Determining How to Select a Sample Basic...

This preview shows pages 1–13. Sign up to view the full content.

Click to edit Master subtitle style Determining How to Select a Sample

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Ch 12 22 Basic Concepts in Sampling Population: the entire group under study as defined by research objectives Researchers define populations in specific terms such as “heads of households located in areas served by the company who are responsible for making the pest control decision.”
Ch 12 33 Basic Concepts in Sampling Sample: a subset of the population that should represent the entire group Sample unit: the basic level of investigation Census: an accounting of the complete population

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Ch 12 44 Basic Concepts in Sampling Sampling error: any error in a survey that occurs because a sample is used A sample frame: a master list of the entire population Sample frame error: the degree to which the sample frame fails to account for all of the population…a telephone book listing does not contain unlisted numbers
Ch 12 55 Reasons for Taking a Sample Practical considerations such as cost and population size Inability of researcher to analyze huge amounts of data generated by census Samples can produce precise results

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Ch 12 66 Two Basic Sampling Methods Probability samples: ones in which members of the population have a known chance (probability) of being selected into the sample Non-probability samples: instances in which the chances (probability) of selecting members from the population into the sample are unknown
Ch 12 77 Probability Sampling Methods Simple random sampling Systematic sampling Cluster sampling Stratified sampling

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Ch 12 88 Probability Sampling Methods
Ch 12 99 Probability Sampling: Simple Random Sampling Simple random sampling: the probability of being selected into the sample is “known” and equal for all members of the population E.g., Blind Draw Method Random Numbers Method (see MRI 12.1, p. 335)

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Ch 12 1010 Probability Sampling: Simple Random Sampling Advantage: Known and equal chance of selection Disadvantages: Complete accounting of population needed Cumbersome to provide unique designations to every population member
Ch 12 1111 Probability Sampling Systematic Sampling Systematic sampling: way to select a random sample from a directory or list that is much more efficient than simple random sampling Skip interval=population list size/sample size

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Ch 12 1212 Probability Sampling Systematic Sampling
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern