Rene weber ryan fuller (12 risultati)

Paperback. Condizione: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority.

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Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In.

Paperback. Condizione: Brand New. 1st edition. 320 pages. 9.90x8.00x0.80 inches. In Stock.

Paperback. Condizione: New. Every day we are inundated with information in our professional as well as personal livesWe simply cannot attend to everything, and need help in separating out and evaluating claims. Understanding statistical methods provides us with an efficient way to explore, analyze and interpret data, as well as evaluate the strength of evidence presented in support of or opposition to claims.Statistical Methods for Communication Researchers and Professionals helps the reader develop the statistical competency necessary to become good researchers and good ""statistical citizens"" in the information age.Statistical Methods for Communication Researchers and Professionals:Provides an overview of statistical methods in the context of communication research and practice.Prepares the reader for careers such as research scientists, professional communicators, or anyone that is responsible for describing, evaluating, and interpreting data they confront daily in their professions.Draws on a range of recently published examples in different arenas in communication.Addresses three primary goals of statistical methods: The design of samples, including those based on probability and non- probability procedures.Describing, exploring, and summarizing data in samples or non- samples.Making predictions and generalizations from a sample to the population we are interested in, or testing assumptions in populations with data in samples. Includes access to an actively-maintained website with additional information. Features include datasets, additional examples and problems, errata, links to other statistics sources, course materials, and more.…

Condizione: New. Understanding statistical methods provides us with an efficient way to explore, analyse and interpret data, as well as evaluate the strength of evidence presented in support of or opposition to claims. This book helps readers develop the statistical compete.

Paperback. Condizione: New. Every day we are inundated with information in our professional as well as personal livesWe simply cannot attend to everything, and need help in separating out and evaluating claims. Understanding statistical methods provides us with an efficient way to explore, analyze and interpret data, as well as evaluate the strength of evidence presented in support of or opposition to claims.Statistical Methods for Communication Researchers and Professionals helps the reader develop the statistical competency necessary to become good researchers and good ""statistical citizens"" in the information age.Statistical Methods for Communication Researchers and Professionals:Provides an overview of statistical methods in the context of communication research and practice.Prepares the reader for careers such as research scientists, professional communicators, or anyone that is responsible for describing, evaluating, and interpreting data they confront daily in their professions.Draws on a range of recently published examples in different arenas in communication.Addresses three primary goals of statistical methods: The design of samples, including those based on probability and non- probability procedures.Describing, exploring, and summarizing data in samples or non- samples.Making predictions and generalizations from a sample to the population we are interested in, or testing assumptions in populations with data in samples. Includes access to an actively-maintained website with additional information. Features include datasets, additional examples and problems, errata, links to other statistics sources, course materials, and more.…