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

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

This complete, versatile textual content is utilized in either one- and two-semester classes to check introductory via intermediate statistics. teachers pick out the themes which are most excellent for his or her direction. Its conceptual strategy is helping scholars extra simply comprehend the suggestions and interpret SPSS and learn effects. Key strategies are easily acknowledged and infrequently reintroduced and regarding each other for reinforcement. various examples display their relevance. This variation positive aspects extra rationalization to extend figuring out of the innovations. in basic terms the most 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 relevant Florida's collage of schooling Excellence in Graduate instructing Award.
  • A new bankruptcy on logistic regression versions for modern-day extra complicated methodologies.
  • More on computing self belief periods and accomplishing strength analyses utilizing G*Power.
  • Many extra SPSS screenshots to aid with figuring out easy methods to navigate SPSS and annotated SPSS output to help within the interpretation of results.
  • Extended sections on find out how to write-up statistical ends up in APA format.
  • New studying instruments together with chapter-opening vignettes, outlines, and an inventory of key thoughts, many extra examples, tables, and figures, bins, and bankruptcy summaries.
  • More tables of assumptions and the consequences in their violation together with tips to 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 try out goods for teachers, and for college students the bankruptcy outlines, key thoughts, and datasets that may be utilized in SPSS and different applications, and more.

Each bankruptcy starts off with an overview, an inventory of key options, and a vignette regarding these techniques. reasonable examples from schooling and the behavioral sciences illustrate these innovations. every one instance examines the systems and assumptions and gives directions for a way to run SPSS, together with annotated output, and how to improve an APA variety write-up. priceless tables of assumptions and the results in their violation are incorporated, in addition to easy methods to try assumptions in SPSS. 'Stop and imagine' packing containers offer worthwhile advice for larger knowing the strategies. each one bankruptcy comprises 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 evaluate descriptive facts together with methods of representing info graphically, statistical measures, the conventional distribution, and chance and sampling. the rest of the textual content covers inferential data concerning potential, proportions, variances, and correlations, uncomplicated and complicated research of variance and regression versions. issues no longer handled in different texts comparable to strong equipment, a number of comparability and nonparametric approaches, and complex 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 complicated undergraduate level, knowledge of statistics isn't really a prerequisite. A rudimentary wisdom of algebra is required.

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Extra resources for An Introduction to Statistical Concepts

Example text

Compared to the original set of scores (no bonus), I assert that the ranks of the new set of scores (including bonus) will be exactly the same. Am I correct? 15 Johnny and Buffy have class ranks of 5 and 6. Ingrid and Toomas have class ranks of 55 and 56. I assert that the GPAs of Johnny and Buffy are the same distance apart as are the GPAs of Ingrid and Toomas. Am I correct? 1 What is your gender? 2 What is your height in inches? 3 What is your shoe size (length)? 4 Do you smoke? 5 Are you left- or right-handed?

5. Thus, we could determine any percentile, in whole numbers or decimals, between 0 and 100. Next we examine three particular percentiles that are often of interest, the quartiles. 2 Q uartiles One common way of dividing a distribution of scores into equal groups of scores is known as quartiles. This is done by dividing a distribution into fourths or quartiles where there are four equal groups, each containing 25% of the scores. In the previous examples, we determined P25, P50, and P75, which divided the distribution into four equal groups, from 0 to 25, from 25 to 50, from 50 to 75, and from 75 to 100.

Sue is twice as good as John. 5 Which scale of measurement is implied by the following statement: “Jill’s score is three times greater than Eric’s score”? a. Nominal b. Ordinal c. Interval d. 6 Which scale of measurement is implied by the following statement: “Bubba had the highest score”? a. Nominal b. Ordinal c. Interval d. 7 A band director collects data on the number of years in which students in the band have played a musical instrument. Which scale of measurement is implied by this scenario?

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