1 / 10

Sampling Methods and Bias in Population Surveys

Learn about different sampling methods such as self-selected, systematic, and convenience samples, and understand the concept of bias in population surveys.

arutledge
Download Presentation

Sampling Methods and Bias in Population Surveys

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Warm-Up • Use the normal curve on page 264 in your text to answer the following questions:

  2. Sampling methods

  3. A population is a group of people or objects that you want information about. A sample is a subset of the population. Population Sample

  4. There are multiple ways of sampling. • self-selected sample - members of a population can volunteer to be in the sample Ex: The reporter writes a column asking workers to call a special phone number and identify where they eat lunch during a typical work week. Reasoning: The workers can choose whether or not to respond. So, the sample is a self-selected sample

  5. systematic sample, a rule is used to select members of a population (such as selecting every other person.)

  6. convenience sample - easy-to-reach members of a population are selected (such as those in the first row.) Ex: Interviewing people at a shopping mall as they walk by Ex: A group of students in a high school do a study about teacher attitudes. They interview teachers at the school, a couple of teachers in the family and few others who are known to their parents.

  7. random sample, each member of a population has an equal chance of being selected Ex: Each student in the class is assigned a number. Then numbered pieces of cardboard are mixed up and drawn from a hat Ex: Names are put into a spreadsheet. Then in the corresponding column, random numbersare assigned using a random integer function on the calculator.

  8. Bias vs. Unbiased • unbiased sample is representative of the population you want information about. • biased sample a sample that overrepresents the population or underrepresents part of the population

  9. Bias or Unbiased?? BIASED • The reporter writes a column asking workers to call a special phone number and identify where they eat lunch during a typical work week The sample is biased because the sample is self-selected and it may not be representative of the population the reporter wants information about BIASED • A company wants to know how often it’s employees use the company’s cafeteria for lunch. The company asks employees who have just finished eating lunch on a Friday. The sample is biased because they are not sampling the employees who are not in the cafeteria.

  10. Biased or Unbiased?? UNBIASED • A gym is conducting a survey to find out how often members attend the gym each week. A gym employee asks every other person attending the gym how often they attend in a week. Work: Pg 269; 1-2 Pg 270; 1-3 Pg 271; 1-3

More Related