Statistical Methods for the Information Professional: A Practical, Painless Approach to Understanding, Using, and Interpreting Statistics, Volume 367
For most of us, "painless" is not the word that comes to mind when we think of statistics, but author and educator Liwen Vaughan wants to change that. In this unique and useful book, Vaughan clearly explains the statistical methods used in information science research, focusing on basic logic rather than mathematical intricacies. Her emphasis is on the meaning of statistics, when and how to apply them, and how to interpret the results of statistical analysis. Through the use of real-world examples, she shows how statistics can be used to improve services, make better decisions, and conduct more effective research. Whether you are doing statistical analysis or simply need to better understand the statistics you encounter in professional literature and the media, this book will be a valuable addition to your personal toolkit. Includes more than 80 helpful figures and tables, 7 appendices, bibliography, index.
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Figure 21 A Sample Excel Data File
Summarizing Messy Data into Neat Figures
Figure 41 Income Data of 50 Information Consultants
Figure 48 Descriptive Statistics Output from Excel 2000
Figure 55 Wong and Johns Relative Standing Among
Figure 85 Illustration of a Regression Line
Are Three or More Samples Significantly Different?
When Data Do Not Behave
Standard Normal Distribution
Critical Values of Pearson r
Other editions - View all
analysis average number calculate cell central tendency Chapter chi-square score chi-square test coefficient of determination column confidence interval critical value data points data set degrees of freedom descriptive statistics discussed error example data Excel Expected Count expected frequencies F score females formula frequency distribution gender graph group variability histogram impact income independent t test independent variables inferential statistics interface Internet interquartile range interval or ratio Kruskal-Wallis test LISREL males measure of central median nominal data nonparametric tests normal distribution null hypothesis number of hours number of PCs ordinal data p-value paired t test Pearson correlation coefficient population means prediction probability public library random sample ranking scores ratio data regression equation reject the null relationship result scatter plot seek staff help shown in Figure significance level simple random sample skewed SPSS output standard deviation statistical test statistically significant survey test statistic tion type I error users Z score