Inferential Statistics 
Inferential Statistics is available as a paperback book at £8.50 and also as an integrated multimedia teaching program and ebook that can be downloaded and installed for only £6. The book has the same lighthearted style as the program, enlivened by many cartoons. It explains how data can be used to make statistical inferences and describes how various statistical tests are used and interpreted. The computer program covers the same material in a different way. It contains Sections 5, 6, 7 and 8 of Introduction to Statistics along with its Demo and Glossary. Within the program, a Read Book button opens the electronic book at a page relevant to the current topic. You can then browse the book or return to the program at the point where you left it.

Table of Contents1: Making inferences about populations Generalizing from a sample to a population Probability and chance Statistical tests Type 1 and Type 2 errors Choosing an acceptable significance level The Null Hypothesis Interpreting a nonsignificant result Directional and nondirectional tests Summary 2: The characteristics of significance tests Using statistical tables Parametric and nonparametric tests of significance Selecting a suitable statistical test The sum of squares (SS) Degrees of freedom (df) The standard error (SE) How statistical tests in this unit are organized Summary 3: Measurements that occur in pairs Onesample ttest (related ttest) Degrees of freedom in a onesample ttest Drawing conclusions from significant results What if the result is not significant? Wilcoxon test (T) Sign test What if tests disagree? Which test should we use? Summary 4: Measurements that are not in pairs Twosample ttest Interpreting significant and nonsignificant outcomes. MannWhitney (U) test What if our groups are too large for tables D and E? An example using the z calculation Summary 5: Categories in a single sample using Chisquared Degrees of freedom in chisquared What does the chisquared result mean? Yates's correction for continuity Explaining a significant outcome The Null Hypothesis need not be that all probabilities are equal Sign test (again) Summary 6: Categories in two or more samples Comparing Victoria's sample with Albert's Median test Comparing the outcomes of various tests Rules for using chisquared More than two categories; more than two samples Determining the number of df Summary Answers to the selfassessment questions Glossary Statistical tables Summary of the statistical methods in this unit
