Summary Introductory Statistics follows scope and sequence requirements of a one-semester introduction …
Summary Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
Senior Contributing Authors Barbara Illowsky, De Anza College Susan Dean, De Anza College
Introduction to Sociology 2e adheres to the scope and sequence of a …
Introduction to Sociology 2e adheres to the scope and sequence of a typical, one-semester introductory sociology course. It offers comprehensive coverage of core concepts, foundational scholars, and emerging theories, which are supported by a wealth of engaging learning materials. The textbook presents detailed section reviews with rich questions, discussions that help students apply their knowledge, and features that draw learners into the discipline in meaningful ways. The second edition retains the book’s conceptual organization, aligning to most courses, and has been significantly updated to reflect the latest research and provide examples most relevant to today’s students. In order to help instructors transition to the revised version, the 2e changes are described within the preface.
Differentiate between four kinds of research methods: surveys, field research, experiments, and …
Differentiate between four kinds of research methods: surveys, field research, experiments, and secondary data analysis Understand why different topics are better suited to different research approaches
By the end of this section, you will be able to: Explain …
By the end of this section, you will be able to:
Explain what a correlation coefficient tells us about the relationship between variables Recognize that correlation does not indicate a cause-and-effect relationship between variables Discuss our tendency to look for relationships between variables that do not really exist Explain random sampling and assignment of participants into experimental and control groups Discuss how experimenter or participant bias could affect the results of an experiment Identify independent and dependent variables
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