Subject Code : SCIE4402
- Resource EcoSCIE4402nomics - Data Management - Natural Sciences - Agriculture Assessment Answer
Task:

QUESTION 1 
The question 1 data file contains measurements on the level of growth, over a one year period, in the flower spike length of Australian grass trees in four different locations: Yanchep, Mundaring, Mandurah, and Pickering Brook. All of the plants in each location are approximately the same age. The measurements are recorded in cm. The indexing of the values is such that in the data file 1 = Yanchep, 2 = Mundaring, 3 = Mandurah, and 4 = Pickering Brook. There is also an additional hat identifies when the area was burnt. So, although there are several data columns, you have a single factor variable for location, and a single factor variable for the time of burn. Depending on the choices you make in the modelling process, including the tests that you use, you can end up with quite different conclusions about the relationships present in the data set. In part you can think of the question as participation in an experiment. I give everyone in the class a data set and I will report back on how many different results are reported, and whether there were fundamentally different conclusions that were appropriately justified. For this question, quite different answers can get full marks. The key is that you convince the reader (i.e. Fogarty, J.) that your approach was sound. You can also get one of the same final answers that I have and not get full marks if your presentation quality is poor and I find the logic you followed unconvincingly. See the marking guide for further details.

 

QUESTION 
The response variable is the number of seeds produced from each plant. The plants are Australian Grasstrees. There is a factor variable: location (Yanchep and Mundaring). The location information has been coded twice in the data file: once as a long format factor variable (Location) and once in wide format dummy variable code (Yanc and Mund). There is also a quantitative variable (length of the plant flower spike) measured in metres that may help predict the response. There is no absolutely correct answer for this question. For example I came up with four different models that I thought are reasonable/ could be defended. There are a number of ways of looking at the data and what is important is that your reasoning makes sense. For further details on the waymarks will be allocated for the question see the marking guide.

 

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  • Posted on : September 30th, 2018
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