Need to expand your statistics knowledge and move on to Statistics II? This friendly, hands-on guide gives you the skills you need to take on multiple regression, analysis of variance (ANOVA), Chi-square tests, nonparametric procedures, and other key topics. Statistics II also provides plenty of test-taking strategies as well as real-world applications that make data analysis a snap, whether you're in the classroom or at work.
Begin with the basics — review the highlights of Stats I and expand on simple linear regression, confidence intervals, and hypothesis tests Start making predictions — master multiple, nonlinear, and logistic regression; check conditions; and interpret results Analyze variance with ANOVA — break down the ANOVA table, one-way and two-way ANOVA, the F-test, and multiple comparisons Connect with Chi-square tests — examine two-way tables and test categorical data for independence and goodness-of-fit Leap ahead with nonparametrics — grasp techniques used when you can't assume your data has a normal distribution
Open the book and find: Up-to-date methods for analyzing data Full explanations of Statistics II concepts Clear and concise step-by-step procedures Dissection of computer output Lots of tips, strategies, and warnings Ten common errors in statistical conclusions Everyday statistics applications Tables for completing calculations used in the book