Making Sense of Data and Statistics in Psychology confronts the
pedagogic challenge of teaching statistics to students in
psychology and related disciplines. Recognising the heterogeneous
nature of students' mathematical backgrounds and motivations, the
authors adopt an innovative approach while ensuring ready
integration into orthodox undergraduate statistics courses at
introductory and post-introductory levels. Before being introduced
to formal statistics, students are encouraged to develop a 'feel'
for data, particularly through visual representation. Making
extensive use of exploratory data analysis (EDA), the text
emphasises conceptual rather than technical or procedural
understanding.
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