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 choose the themes which are perfect for his or her direction. Its conceptual technique is helping scholars extra simply comprehend the ideas and interpret SPSS and study effects. Key strategies are easily said and infrequently reintroduced and relating to each other for reinforcement. a number of examples exhibit their relevance. This version beneficial properties extra rationalization to extend realizing of the techniques. purely the most important equations are included.
In addition to updating all through, the hot variation features:
Each bankruptcy starts off with an overview, a listing of key thoughts, and a vignette regarding these techniques. lifelike examples from schooling and the behavioral sciences illustrate these techniques. each one instance examines the techniques and assumptions and gives directions for the way to run SPSS, together with annotated output, and the way to increase an APA type write-up. valuable tables of assumptions and the results in their violation are integrated, besides how you can try out assumptions in SPSS. 'Stop and imagine' containers offer precious suggestions for greater realizing the options. every one bankruptcy contains computational, conceptual, and interpretive difficulties. the information 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 evaluation descriptive records together with methods of representing facts graphically, statistical measures, the conventional distribution, and chance and sampling. the rest of the textual content covers inferential records related to ability, proportions, variances, and correlations, uncomplicated and complex research of variance and regression types. themes no longer handled in different texts similar to powerful equipment, 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 data 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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Additional info for An Introduction to Statistical Concepts
We then defined variable-related terms including variables, constants, categorical variables, and continuous variables. 1. Finally, we examined the four classic types of measurement scales, nominal, ordinal, interval, and ratio. By now, you should have met the following objectives: (a) have a better sense of why statistics are necessary; (b) see that statisticians are an interesting group of people; and (c) have an understanding of the basic statistical concepts of population, parameter, sample, and statistic, descriptive and inferential statistics, types of variables, and scales of measurement.
The bar graph is the recommended graphic for nominal data. , ordinal, interval, or ratio) is the histogram. Because the data are at least theoretically continuous (even though they may be measured in whole numbers), the main difference in the histogram (as compared to the bar graph) is that the bars touch one another, much like intervals touching one another as real limits. 2 (SPSS generated). As you can see, along the X axis we plot the values of the variable X and along the Y axis the frequencies for each interval.
8 What was your quantitative GRE score? 9 What is your current GPA? 10 On average, how much exercise do you get per week (in hours)? 11 On a 5-point scale, what is your political view (1 = very liberal, 3 = moderate, 5 = very conservative)? 12 On average, how many hours of TV do you watch per week? 13 How many cups of coffee did you drink yesterday? 14 How many hours did you sleep last night? 15 On average, how many alcoholic drinks do you have per week? 16 Can you tell the difference between Pepsi and Coke?
An Introduction to Statistical Concepts by Debbie L. Hahs-Vaughn, Richard G. Lomax