Presentation on theme: "30 marks 25% of final grade. Is an outline of what this work is about. Why are you doing this? What is it you are going to do? (Hypothesis/Aims)"— Presentation transcript:
Is an outline of what this work is about. Why are you doing this? What is it you are going to do? (Hypothesis/Aims) When are you doing it? Where is Cheltenham? (Sphere of influence/maps) What streets are you studying, why? What is good management? Why is it important for Cheltenham? A contents page (do at end).
What is it you are going to do. How can you get 6/6? List of primary & secondary methods you are going to test. For each method explain what you are going to do. For each method explain why you are doing it (how will it help prove/disprove your hypothesis).
How are you going to show originality? (second trip, different town, letter etc) Theory should be included here, CBD, Low High order retail, zone of discard etc. Blank planning sheet/table of what you are going to do. What presentation methods are you going to use and why? (spearman’s rank for e.g. Will help you make links between data).
This is an easy area to pick up marks!! What do we mean by data presentation?? How can you get 6 out of 6 marks? What has to be shown here? Lets answer these questions.
Data presentation is where you show the results you found. This is split into three levels (1, 2 & 3). The more variety and range of data presentation methods you use the better (i.e. Not just bar/pie charts!!). You should use at least two examples of ICT.
Meet all level criteria. Level 1 - Basic Presentation Techniques. No ICT level 1 only. Level 2 – Range of techniques. ICT X 2. Need titles and scales (or discounted) Examples of 1 & 2 level - Maps, Bar Charts, Line Graphs, Pictographs, Land Use Transect, Diagrams, Pie Charts, Photographs, Stacked Bar Graphs, Tables, Divided Bar Graphs, Field Sketches.
More Complex methods. Need ICT X 2. Titles and scales. Three examples of complex skills out of: Scatter Graphs (links between sets of data). Well annotated photographs (with description of scene). Well annotated field sketches (as photos). Spearman rank calculation (links between). Proportional flow maps (traffic, pedestrian). Proportional graphs on maps (management).
Clear explanation as to what each set of results demonstrates. Titles & Scales. 2 forms of ICT. Neat, Colourful, In order. Range of techniques discussed previously.
This is the section where you use your results to see if your hypothesis is right. For each street go through the results you found, quoting figures and factual statements for each street. Then explain your results and why you think this street had these results. Then link to your hypothesis, how does this help prove or disprove your hypothesis.
Upper High Street - Pedestrian Count : The Upper High St was the highest ranked street for pedestrians (factual statement). We counted fifteen pedestrians in the morning, and 30 in the afternoon (fact & figures). This increase in the second count was probably due to the amount of restaurants/fast food facilities in the street, and the fact that my second count was during most peoples lunch break (explaining result and why found). This suggests to me that this street is in the CBD, as major fast food restaurants would want be located here, were there are most pedestrians and therefore customers. (link to hypothesis/aim).
The key here: Street by Street Include your Facts / Figures Thorough Explanation / Analysis of results Link to your Hypothesis / Aims Links between sets of results (L3) i.e. Hanging baskets were low because low number of pedestrians and therefore little management needed.
6 marks. Worst section by pupils, by far – chance for you to gain marks. Do this method by method. There is no requirement to evaluate your presentation technique.
Questions reliability of methods. Briefly describes improvements to methods. E.g. Pedestrian count: I counted people walking past in a given time. Because it was only me counting I might have missed people. To make this better I could have two people counting.
Describe Improvements. Question the reliability of methods. Question accuracy of results. For e.g. Pedestrian Count. When I completed the pedestrian count it was very busy on some streets, and I may have missed people walking past. If I had several people counting, I could have calculated a average result and got a more accurate idea of how many people walked past in the 30 seconds.
Question the reliability of methods. Question the accuracy of results. Question the validity of conclusions. When I completed the pedestrian count it was very busy on some streets, and I may have missed people walking past. If I had several people counting, I could have calculated a average result and got a more accurate idea of how many people walked past in the 30 seconds. This may have effected my conclusions, for e.g. I used the pedestrian count data in Figure 6 from the Prom to suggest that this had enough facilities for the amount of people using it, however in hind sight I would need to repeat this method with several counters to see if this was actually the case.
Criticise your methods and how you’d improve them How does this affect how accurate your results are. How does this affect what you think about your conclusions.