Janna

Read my Mathex reflections 2009;


 * //To use data and statistics/ To use mathematical inquiry// ||
 * Stage 1; Identify the problem and form a question || Good question- clear and concise, so it will help you to stay focused on what you'd like to find out- it will also help your conclusion/ answer. ||
 * Stage 2; Plan and hypothesise || Well done for trying to explain your reason for the choice of this question, and for even considering a real life reason or application for anything you could find out about transport patterns. Your explanation in your hypothesis reinforces your choice of survey too. You have given your prediction validity by linking your thoughts to reality and everyday life. ||
 * Stage 3; Data collection || Clear plan, well selected categories were suited to your question. The sample of 100 is OK- depending on what you need to do the sort and group the data, always aim for a bigger number. Well listed data from the survey. ||
 * Stage 4; Analysis of data || Clear and logical analysis, good prepapration for the graphs. ||
 * Stage 5; Graphing and charting your data || I'm pleased you selected two types of graph to use, because the bar charts are slightly misleading because of the different scales for each one- one transport type looks 'very' popular, and (when you look at the different scales, it is low in comparison to other regions. The pie charts show proportion and percentage much better! ||
 * Stage 6; Interrogating your graphed data || You have looked at your graphs and identified some similarities and differences, but I think more could be done to look again and try to identify contrasts. I would ask questions about types of transport that appear in Auckland's graphs, but not Wellington's- trains, for instance. I'd also be interested why Wellington's motor category is higher than the national data. Look closely and try to find some 'curious' data. ||
 * Stage 7; Conclusion, answer and 'So What' || Your answer is largely true, but (see above) look more closely for 'interesting bits' which come from your data! ||

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