KEY FEATURES: Introduces students to developing research questions and shows their importance in driving research design. Rarely taught topics, such as how to enter and clean data, offer students information missed in both research methods and statistics courses. Shows how to write up survey results for academic, business and nonprofit reports to alleviate the confusion students feel about how to write up findings. Rigorous treatment of sampling focuses on many sampling issues from probability theory to weighting. Offers the process of actually conducting a survey with advice on administering surveys, incentives, and improving response rates.

What Are Inferential Statistics?

Erin Ruel

While describing the sample is a good thing to do, we are more interested in the larger population from which the sample was derived. Recall that the population is defined as the entire set of people about whom the researcher is interested. The sample is a subset of the entire population upon which we have collected data.

Inferential statistics allow us to infer statistical findings based on the sample to the whole population. For example, if researchers, using the General Social Survey, a sample of the entire United States, find that attitudes toward homosexuality have been liberalizing since the 1970s, researchers can infer or predict that attitudes toward homosexuality have been liberalizing in all of America since the 1970s.

In order ...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles