Jenny

Here are my reflections; Good use of a question to base your investigation around- this also helps with forming interesting conclusions too. It is an interesting issue, and one which would be able to be looked at with the census at school data. However, given that you had 18,000 students to select from, your data sample is a bit small. Also, you could have used more students to see if you could get a clearer answer to your question for older or younger children. Your graph is clear, but a bit too simple and it only graphs the reaction time and doesn't show any relationship between this and their interest in sports and fitness. Perhaps a second graph could have investigated any trends between these two elements. In your conclusion, you said that "...we had hypothesised..." but I couldn't see this anywhere. Also, you related fitness to boys and girls, but you hadn't identified gender as being a focus in your question at the start- always stick to your original goals!


 * //To use data and statistics/ To use mathematical inquiry// ||
 * Stage 1; Identify the problem and form a question || Interesting question- as a parent, I'm interested in your results- explain why you were interested in this question- give the reader some idea about your reasons for being interested in this issue. ||
 * Stage 2; Plan and hypothesise || Very brief hypothesis- on what do you base your ideas? Do you have any experience with this issue? Why do you think what you do about your survey? Always explain, and add some depth to your hypothesis because you'll come back to it and compare your results with it at the end. ||
 * Stage 3; Data collection || Very thorough- excellent sample size- Your question was clear enough to clearly identify the data categories you were interested in. ||
 * Stage 4; Analysis of data || Well done for eliminating 2 irrelevant columns from the data analysis- you did some brief analysis (without using data/ figures) and came up with some unproven statements- when analysing the data, stick to facts and figures. Well organised data though! ||
 * Stage 5; Graphing and charting your data || Well done for taking on the challenge of a box/ whisker graph- it would be great to also see the maths that went into calculating your quartiles. Your key is a bit confusing- add a separate key alongside your graphs for the benefit of your viewer. ||
 * Stage 6; Interrogating your graphed data || You have looked closely at your data to identify the variances in the lower quartile data- this is interesting, especially when compared to the range of the data- I'm not sure if it's accurate, but the students with some type of technology have a very long range because some of them go to bed so early- look back into your data to see if this is just one student who 'pollutes' the rest of the data! ||
 * Stage 7; Conclusion, answer and 'So What' || Your conclusion answers your original question, and attempts to come up with some kind of 'so what' because of what you've noticed- well done! ||

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