Statistical Methods for the Information Professional: A Practical, Painless Approach to Understanding, Using, and Interpreting Statistics, Volume 367
American Society for Information Science and Technology, Jan 1, 2001 - Business & Economics - 209 pages
In this unique and useful book, Liwen 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. More than 80 helpful figures and tables, seven appendices, a bibliography, and an index are included.
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Summarizing Messy Data into Neat Figures
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average number calculate cell central tendency Chapter chi-square score chi-square test coefficient of determination column confidence interval contingency table critical value data points data set descriptive statistics discussed error example Excel Expected Count expected frequencies F score females formula frequency distribution gender graph histogram hours per week income independent t test independent variables inferential statistics Internet interquartile range interval or ratio Kruskal-Wallis test LISREL males mean difference 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 population means prediction probability public library random number random sample ratio data regression equation reject the null relationship result sample data sample mean scatter plot seek staff help shown in Figure significance level simple random sample skewed SPSS Output staff PCs standard deviation statistical test statistically significant survey test statistic tion type I error users