Jasmine

Here are my reflections; Excellent use of a question to get yourself started into the investigation. This helps you to remain focused on what you want to know and helps your conclusion at the end. Your question was relevant and interesting but your sample size (given that you had 17,000 subjects) was a bit low. Use excel and filtering to sift and sort your data quickly- ask if you'd like me to demonstrate. Your data was presented clearly, and was the right type of information that you needed to answer your question. Your analysis sounds very specific and certain about the patterns and trends you identified- BUT your sample is so small, it is difficult to tell how accurate the judgements are. Your graphs need more variety- the line graph is factually incorrect, and not the correct graph for this purpose- line graphs are used for continuous data like temperature and height, not discrete data like numbers of people or cars.


 * //To use data and statistics/ To use mathematical inquiry// ||
 * Stage 1; Identify the problem and form a question || This is very strong in your inquiry- you have given some explanation as to why you are interested in this issue, and have also linked this into your personal hypothesis. Hopefully, your clear hypothesis is backed up with clear results! ||
 * Stage 2; Plan and hypothesise || Your plan is reasonably easy since you will be using 'real' classes fromm BBI- the only issue you may face is the sample size which is limited by the size of the classes you use. ||
 * Stage 3; Data collection || You asked clear questions in order to find out people's preferences, but will have seriously limited responses because of lack of numbers. ||
 * Stage 4; Analysis of data || You have sorted the data and displayed it in clear tables of results to support your graphs. A suggestion would be to rate your responses numerically- e.g. give 4 points for best response, 3pts for second best etc, and come up with an 'average' response- this is good for comparing classes. ||
 * Stage 5; Graphing and charting your data || Again, clear and simple BUT because the graphs had different scales for the y axis, it is a little misleading when trying to see what proportion of the whole sample made certain choices- pie charts are best for this. ||
 * Stage 6; Interrogating your graphed data || You spotted patterns in each graph, and highlighted any points of interest. ||
 * Stage 7; Conclusion, answer and 'So What' || Detailed conclusion, well built around your prediction. Have you also attempted to correlate your data to see if there is a link between previous enjoyment and current enjoyment. I like how you have attempted to explain the patterns in the data and suggest possible reasons- even going further to try and see if there were gender-based reasons. I'm not sure (given the small sample size) that I agree with some of the conclusions, but I really liked how you tried to explain your conclusion! ||

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