An Introduction to Statistical Concepts - download pdf or read online

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

ISBN-10: 041588005X

ISBN-13: 9780415880053

This finished, versatile textual content is utilized in either one- and two-semester classes to study introductory via intermediate statistics. teachers decide upon the themes which are appropriate for his or her path. Its conceptual technique is helping scholars extra simply comprehend the thoughts and interpret SPSS and learn effects. Key innovations are easily said and infrequently reintroduced and relating to each other for reinforcement. a number of examples reveal their relevance. This variation beneficial properties extra rationalization to extend realizing of the innovations. purely an 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 college of imperative Florida's university of schooling Excellence in Graduate educating Award.
  • A new bankruptcy on logistic regression types for ultra-modern extra complicated methodologies.
  • More on computing self belief periods and accomplishing energy analyses utilizing G*Power.
  • Many extra SPSS screenshots to help with realizing the best way to navigate SPSS and annotated SPSS output to help within the interpretation of results.
  • Extended sections on the way to write-up statistical leads to APA format.
  • New studying instruments together with chapter-opening vignettes, outlines, and a listing of key ideas, many extra examples, tables, and figures, packing containers, and bankruptcy summaries.
  • More tables of assumptions and the results in their violation together with tips to attempt 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 try goods for teachers, and for college kids the bankruptcy outlines, key thoughts, and datasets that may be utilized in SPSS and different applications, and more.

Each bankruptcy starts with an overview, a listing of key strategies, and a vignette concerning these innovations. life like examples from schooling and the behavioral sciences illustrate these ideas. each one instance examines the tactics and assumptions and offers directions for a way to run SPSS, together with annotated output, and the best way to boost an APA sort write-up. priceless tables of assumptions and the results in their violation are integrated, in addition to find out how to try out assumptions in SPSS. 'Stop and imagine' bins supply priceless guidance for greater figuring out the strategies. 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 information together with methods of representing facts graphically, statistical measures, the traditional distribution, and likelihood and sampling. the rest of the textual content covers inferential information regarding skill, proportions, variances, and correlations, easy and complex research of variance and regression versions. subject matters no longer handled in different texts similar to powerful tools, a number of comparability and nonparametric techniques, and complex ANOVA and a number of and logistic regression versions also are reviewed.

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

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Additional resources for An Introduction to Statistical Concepts

Sample text

0” means that there is one frequency for the score of 10. The fact that there are two values of “1” that occur in that stem indicates that the score of 11 occurred twice. , only one 4 in the stem). , no information is lost in a stem-and-leaf display). However, with a large sample the display can become rather unwieldy. Consider what a stem-and-leaf display would look like for 100,000 GRE scores! In summary, this section included the most basic types of statistical graphics, although more advanced graphics are described in later chapters.

You also see in the table that with this method the sum of the ranks for 7 scores is always equal to 28, regardless of the number of ties. Statistically, this is a satisfactory solution and the one we prefer, whether we are using a statistical software package or hand computations. , extreme intrinsic to extreme extrinsic motivation), and military rank. The term ordinal is derived from “ordering” individuals or objects. Ordinal variables are most often considered categorical or qualitative. 3 Interval Measurement Scale The next most complex scale of measurement is the interval scale.

21 On average, how many hours do you study per week? 22 Which question on this survey is the most interesting to you? The least interesting? For each item, determine the most likely scale of measurement (nominal, ordinal, interval, or ratio) and the type of variable [categorical or numerical (if numerical, discrete or continuous)]. Create scenarios in which one or more of the variables in this survey would be a constant, given the delimitations that you define for your study. 10). 10 as “zero”).

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

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An Introduction to Statistical Concepts - download pdf or read online
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