An Introduction to Statistical Concepts by Debbie L. Hahs-Vaughn, Richard G. Lomax

By Debbie L. Hahs-Vaughn, Richard G. Lomax

This finished, versatile textual content is utilized in either one- and two-semester classes to study introductory via intermediate information. teachers decide upon the subjects which are most suitable for his or her direction. Its conceptual strategy is helping scholars extra simply comprehend the options and interpret SPSS and learn effects. Key recommendations are easily acknowledged and infrequently reintroduced and with regards to each other for reinforcement. quite a few examples reveal their relevance. This variation good points extra clarification to extend knowing of the innovations. simply the most important equations are included.

In addition to updating all through, the hot version features:

  • New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the collage of principal Florida's university of schooling Excellence in Graduate instructing Award.
  • A new bankruptcy on logistic regression versions for contemporary extra complicated methodologies.
  • More on computing self belief durations and carrying out strength analyses utilizing G*Power.
  • Many extra SPSS screenshots to help with knowing easy methods to navigate SPSS and annotated SPSS output to help within the interpretation of results.
  • Extended sections on tips to write-up statistical ends up in APA format.
  • New studying instruments together with chapter-opening vignettes, outlines, and a listing of key strategies, many extra examples, tables, and figures, bins, and bankruptcy summaries.
  • More tables of assumptions and the results in their violation together with how one can try them in SPSS.
  • 33% new conceptual, computational, and all new interpretative problems.
  • A site that includes PowerPoint slides, solutions to the even-numbered difficulties, and attempt goods for teachers, and for college kids the bankruptcy outlines, key recommendations, and datasets that may be utilized in SPSS and different applications, and more.

Each bankruptcy starts with an overview, a listing of key options, and a vignette on the topic of these techniques. lifelike examples from schooling and the behavioral sciences illustrate these suggestions. every one instance examines the methods and assumptions and offers directions for a way to run SPSS, together with annotated output, and the way to increase an APA variety write-up. precious tables of assumptions and the results in their violation are incorporated, besides the right way to try assumptions in SPSS. 'Stop and imagine' bins supply beneficial suggestions for greater knowing the thoughts. each one bankruptcy contains computational, conceptual, and interpretive difficulties. the knowledge units utilized in the examples and difficulties are supplied on the net. solutions to the odd-numbered difficulties are given within the book.

The first 5 chapters overview descriptive data together with methods of representing information graphically, statistical measures, the conventional distribution, and chance and sampling. the rest of the textual content covers inferential information related to capability, proportions, variances, and correlations, uncomplicated and complicated research of variance and regression types. issues now not handled in different texts akin to powerful tools, a number of comparability and nonparametric systems, and complicated ANOVA and a number of and logistic regression versions also are reviewed.

Intended for one- or two-semester classes in records taught in schooling and/or the behavioral sciences on the graduate and/or complex undergraduate level, knowledge of statistics isn't a prerequisite. A rudimentary wisdom of algebra is required.

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Extra resources for An Introduction to Statistical Concepts

Sample text

Constant b. 2 Belle randomly samples 100 library patrons and gathers data on the genre of the “first book” that they checked out from the library. She finds that 85 library patrons checked out a fiction book and 15 library patrons checked out a nonfiction book. Which of the following best characterizes the type of “first book” checked out in this study? a. Constant b. 3 For interval level variables, which of the following properties does not apply? a. Jim is two units greater than Sally. b. Jim is greater than Sally.

What is the distributional shape of the statistics quiz score? What is the 50th percentile of the quiz scores? In this section, we consider ways in which data can be represented in the form of tables. More specifically, we are interested in how the data for a single variable can be represented (the representation of data for multiple variables is covered in later chapters). The methods described here include frequency distributions (both ungrouped and grouped), cumulative frequency distributions, relative frequency distributions, and cumulative relative frequency distributions.

There is no advantage of the histogram or frequency polygon over the other; however, the histogram is more frequently used due to its availability in all statistical software. , ordinal, interval, or ratio) can be displayed as a cumulative frequency polygon (sometimes referred to as the ogive curve). 4 (SPSS generated), the differences between the frequency polygon and the cumulative frequency polygon are that (a) the cumulative frequency polygon involves plotting cumulative frequencies along the Y axis, (b) the points should be plotted at the upper real limit of each interval (although SPSS plots the points at the interval midpoints by default), and (c) the polygon cannot be closed on the right-hand side.

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