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

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 records. teachers decide on the subjects which are splendid for his or her path. Its conceptual method is helping scholars extra simply comprehend the options and interpret SPSS and learn effects. Key thoughts are easily acknowledged and sometimes reintroduced and on the topic of each other for reinforcement. quite a few examples display their relevance. This variation positive factors extra clarification to extend knowing of the ideas. simply an important equations are included.

In addition to updating all through, the recent variation features:

  • New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the collage of crucial Florida's collage of schooling Excellence in Graduate educating Award.
  • A new bankruptcy on logistic regression types for ultra-modern extra complicated methodologies.
  • More on computing self assurance periods and undertaking strength analyses utilizing G*Power.
  • Many extra SPSS screenshots to aid with realizing how one can navigate SPSS and annotated SPSS output to help within the interpretation of results.
  • Extended sections on the best way to write-up statistical leads to APA format.
  • New studying instruments together with chapter-opening vignettes, outlines, and a listing of key strategies, many extra examples, tables, and figures, containers, and bankruptcy summaries.
  • More tables of assumptions and the results in their violation together with the way 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 students the bankruptcy outlines, key recommendations, and datasets that may be utilized in SPSS and different programs, and more.

Each bankruptcy starts off with an overview, a listing of key innovations, and a vignette regarding these suggestions. practical examples from schooling and the behavioral sciences illustrate these innovations. every one instance examines the tactics and assumptions and gives directions for the way to run SPSS, together with annotated output, and easy methods to advance an APA type write-up. necessary tables of assumptions and the results in their violation are integrated, besides the way to attempt assumptions in SPSS. 'Stop and imagine' containers offer important assistance for higher 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 internet. solutions to the odd-numbered difficulties are given within the book.

The first 5 chapters assessment descriptive statistics together with methods of representing info graphically, statistical measures, the traditional distribution, and chance and sampling. the rest of the textual content covers inferential information concerning potential, proportions, variances, and correlations, uncomplicated and complicated research of variance and regression versions. themes no longer handled in different texts reminiscent of strong tools, a number of comparability and nonparametric tactics, and complex ANOVA and a number of and logistic regression versions also are reviewed.

Intended for one- or two-semester classes in statistics taught in schooling and/or the behavioral sciences on the graduate and/or complicated 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

Example text

An interesting aspect of quartiles is that they can be used to determine whether a distribution of scores is positively or negatively skewed. This is done by comparing the values of the quartiles as follows. 5). If (Q3 − Q2) < (Q2 − Q1), then the distribution of scores is negatively skewed as the scores are more spread out at the low end of the distribution and more bunched up at the high end of the distribution. If (Q3 − Q2) = (Q2 − Q1), then the distribution of scores is obviously not skewed, but is symmetric (see Chapter 4).

On occasion there is a fine line between whether an assessment is measured along the ordinal or the interval scale). Interval variables are considered numerical and primarily continuous. 4 R atio Measurement Scale The most complex scale of measurement is the ratio scale. A ratio scale has all of the properties of the interval scale, plus an absolute zero point exists. Here a measurement of 0 indicates a total absence of the property being measured. Due to an absolute zero point existing, true ratios of values can be formed which actually reflect ratios in the amounts of the characteristic being measured.

Frequencies: Step 2. The “Frequencies” dialog box will open (see screenshot for “Frequencies: Step 2”). , quiz) and move it into the “Variables” box by clicking on the arrow button. By default, there is a checkmark in the box for “Display frequency tables,” and we will keep this checked. , selecting “Display frequency tables”) will generate a table of frequencies, relative frequencies, and cumulative relative frequencies. There are three buttons on the right side of the “Frequencies” dialog box (“Statistics,” “Charts,” and “Format”).

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