Author(s): Geoff Ackerly – Revised by Katie Thorne

Sigma Maths Year 11 Study & Revision Guides | Mathematics Study & Revision Guides

Total of 5 Credits - Internally Assessed Sigma Statistics Workbook 'AS 1.1 Relationship Investigation Bivariate Data’ is a write-on student resource. This book contains notes, questions and practice investigations using Bivariate Data as part of the Relationships Investigation for 1.1 Statistical Enquiry Process. A Relationship Investigation is one of the four options for the assessment of this standard, the other options are: Comparison Investigation, Time Series Investigation and Experimental Probability Investigation. This standard is internally assessed and is worth 5 credits. Students are able to and encouraged to use appropriate technology, such as graphing calculators/software in their learning and assessment for this standard. In this workbook students will find clear explanations and detailed worked examples showing what is required at each step of the statistical enquiry cycle. At the end of the workbook there are Practice Investigations. A full set of answers is included, which acts as a guide to structuring quality answers. An abbreviated version of the Achievement Criteria and Explanatory Notes of the Achievement Standard itself complete the resource. Topics Covered in this Workbook Include: Define the Problem Plan the Investigation Data Display Understanding and Applying Technology Scatter Plots Trend Lines Analysing Data Forming a Conclusion Example Investigation Practice Investigations The Sigma Workbook 'AS 1.1 Bivariate Data' is best bought before the standard is taught at school and used throughout the topic as a classroom and homework resource. Alternatively, the workbook would make an excellent independent study resource in the lead-up to the internal assessment of Achievement Standard 1.1. Once completed, 'AS 1.1 Bivariate Data' provides a useful set of revision notes at assessment time. It can be kept as a reference book if students intend taking a Year 12 Statistics course.