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Graphs for the isopod natural selection assignment
Typology: Schemes and Mind Maps
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Lab 4: Isopod Natural Selection – Figure Instructions
Follow the steps below to create your frequency distribution graphs for your assignment. Your graphs and figure captions MUST be computer generated (using Excel or some other graphing software).
I. Your TA will email you the raw data collected during your lab.
II. Organizing your data: The example here is only for ONE trait and an original sample size of 30 isopods. You will have to deal with 2 traits (length and speed) and a much larger original population (because you are using the pooled class data). You should make TWO separate tables (one for body length and one for speed) to make it easier to visualize and manipulate your data. Your tables should look something like Sample Data Table I. I have used “weight” as my trait – you will be using “length” and “speed” as your traits.
III. Determine an appropriate value range for your phenotypic classes: Phenotypic classes can be used to categorize our measured independent variables into specific ranges. To find an appropriate value range for each phenotypic class, I can divide my maximum value by the number of phenotypic classes that I would like to plot. In my example, the maximum weight value for the entire population is 0.011g. I’d like to plot a total 6 phenotypic classes. You should probably aim for about the same number of phenotypic classes (i.e., 6 classes) to divide your data into. …So 0.011g/6 = 0.0018333g….You should round this number up or down to make it a bit easier to work with. After looking at the rest of my data, I think I’ll use a range of 0.002g. The range should be the same for all of your phenotypic classes. The phenotypic classes for my example are shown in Sample Data Table II.
IV. Counting the number of individuals in each phenotypic class: Count how many individuals of the total population (victims + survivors) and survivors fall into each of the classes/ranges as shown in Sample Data Table III.
Victim (V) Survivor (S) Weight (g) S 0. S 0. S 0. S 0. S 0. S 0. S 0. S 0. S 0. S 0. S 0. S 0. S 0. S 0. S 0. S 0. S 0. S 0. V 0. V 0. V 0. V 0. V 0. V 0. V 0. V 0. V 0. V 0. V 0. V 0.
Sample Data Table I.
1 0.0000-0. 2 0.0021-0. 3 0.0041-0. 4 0.0061-0. 5 0.0081-0. 6 0.0110-0.
PhenotypicClass Wt Range (g)
Sample Data Table II.
1 0.0000-0.0020 4 4 2 0.0021-0.0040 7 6 3 0.0041-0.0060 9 5 4 0.0061-0.0080 5 2 5 0.0081-0.0100 4 1 6 0.0110-0.0120 1 0
PhenotypicClass Wt Range (g) (before predation) Total Population Survivors (afterpredation)
Sample Data Table III.
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V. Creating your frequency distribution graphs: Highlight the data in the last 3 columns of the table created in the last step and generate a 2D column graph in Excel. Your graphs should look something like Sample Figure 1. Note that: o Both axes are clearly labelled (including appropriate units) o The different columns representing the “before” and “after” populations are clearly distinguishable. o There is an embedded legend identifying which column represents which population. o There is NO TITLE above the graph…Figures require appropriate captions BELOW the figure (discussed in Step VI below).
VI. Writing a figure caption (BELOW the figures): Your captions should include: o The figure designation (i.e., “Figure 1.”)…note that your figure for length should be “Figure 1” and your figure for speed should be “Figure 2”. o The kind of graph that is being shown (i.e., Frequency distribution). o The name of the organism being tested. o The trait being analyzed. o The selection pressure to which the population was subjected. o The predator used. o The initial sample size. o DO NOT include a title above the graph. o DO NOT describe or interpret your results in the figure caption (you will be doing this when you complete your results summary in question 15).
Sample Figure 1.
Legend: