The LWB NCEA Level 1 Multivariate Data 1.10 Learning Workbook is a specialized, write-on resource designed to guide Year 11 students through the Statistical Enquiry Cycle (PPDAC). This workbook focuses specifically on Achievement Standard 91035 (1.10), providing the analytical tools and structured frameworks needed to investigate relationships between variables and communicate findings with statistical precision.
Key Features
The PPDAC Cycle: A comprehensive walkthrough of the entire statistical process: Problem, Plan, Data, Analysis, and Conclusion. This ensures students follow a logical pathway from their initial question to their final evaluation.
Formulating Statistical Questions: Teaches students how to pose "investigative questions" that involve comparing two or more groups within a multivariate dataset (e.g., "I wonder if the heights of Year 11 boys tend to be greater than the heights of Year 11 girls?").
Data Cleaning & Organization: Practical exercises on how to handle "messy" data, identifying outliers, and organizing information into a format suitable for analysis using software or manual methods.
Box and Whisker Plots: Detailed instructions on how to construct and interpret box plots. Students learn to identify and describe the "middle 50%" (interquartile range), medians, and the overall spread of the data.
Comparative Analysis: Provides the vocabulary needed to describe features of data distributions, including Symmetry, Skew, Shift, and Overlap. It helps students move beyond simple observation to making "informed inferences."
Sampling and Variability: Introduces the concept of "sampling variability" and why different samples from the same population might yield different results. This is a crucial requirement for reaching Merit and Excellence levels.
Using Statistical Software: Includes guidance on using common New Zealand school tools like NZGrapher or CODAP, showing students how to generate professional graphs and summary statistics from digital datasets.
Writing Statistical Conclusions: Templates for writing high-level conclusions that refer back to the original population, including the use of "I suspect..." or "Evidence suggests..." to reflect the probabilistic nature of statistics.
Internal Assessment Scaffolding: Features a complete mock assessment with a sample dataset, allowing students to practice the entire 1.10 standard from start to finish before their final school submission.
Glossary of Statistical Terms: A clear guide to essential vocabulary—such as Median, Quartile, Sample, Population, and Inference—ensuring students use the correct mathematical language in their reports.