Erica

Here are my reflections; Good start- using a question to start your investigation is a good idea BUT then you really should add your own prediction before you start investigating. A question and prediction help give your conclusion/ answer more depth and details. You have selected a good range of data, and your sample size is OK (but could still be bigger, because you have 17,000 people to select from). Your graph is clear and accurate (I prefer the use of ICT for even more accuracy), but you need a second graph to highlight a pattern or trend- a bar chart of the averages for each group is a simple suggestion to do this. Your results are interesting, and there is certainly a 'trend' from your graph- I would also separate the males and females into different graphs to make the change in reaction time easier to see and follow- even being able to make a prediction for the next year group. Your analysis and conclusion are lacking some detail- you haven't actually answered the question that you posed- use your data to give a definitive answer.


 * //To use data and statistics/ To use mathematical inquiry// ||
 * Stage 1; Identify the problem and form a question || Clear identification of an issue that you're interested in- the question you've asked is clear, and identifies the variables you'll be investigating. Remember to come back to the question at the end of your inquiry to answer it, using the data. ||
 * Stage 2; Plan and hypothesise || Your hypothesis is very brief- you need to give some more thought to why you have predicted what you have. Consider whether this is because of personal experience or if it's just a plain, old guess. Your plan is well considered and your sample size is a good number. ||
 * Stage 3; Data collection || Good collection and collation of data- you have sorted effectively and presented the results in a way which means that searching the data would be easy and clear. The source you used is reliable and appropriate for your task. ||
 * Stage 4; Analysis of data || There is a brief analysis- this is not a problem if you come back to it later and use this analysis in your conclusion along with the information you interrogate from your graphs. There are some inequities in your data that may skew your results- it seems like more people selected happy and rich as what they would like to be when older- therefore there will be more students who then want to have certain super powers- I would do some good old fashioned maths and calculate some percentages or fractions of the groups who want certain super powers- this will help you answer your question. ||
 * Stage 5; Graphing and charting your data || Clear and simple AND consistent for each group of students. ||
 * Stage 6; Interrogating your graphed data || See the comment in analysis re. calculating percentages. ||
 * Stage 7; Conclusion, answer and 'So What' || Add evidence here ||

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