I need help with this question especialy the method and the result and discussion can you verify my graphs to see if what i have done is correct i used the Spearman rank instead of using the Mann) Withney spreasheet Could you tell me what would be best to use And if you could look at my discussion i think they link anymore to the graphs if you could have a look Question Methods ( 10 marks ) Tables 1 and 2, below, show an edited data set of some of the components of the 'organizing framework' collected at two sites in Sevilleta Note that in each of them, 'NA' means that no data are available for that variable in the relevant year These data are also available in spreadsheet format from the ' Assessment ' section of the module website Year Precipitation mm Soil moisture relative water content Rabbit densityumber of individualshectare 1 Coyote densityumber of individualskm 2 1989 106 4 NA NA NA 1990 232 4 NA NA NA 1991 334 7 NA NA NA 1992 240 8 NA 0 060 0 880 1993 207 4 NA 0 272 0 702 1994 288 1 NA 0 125 0 793 1995 138 8 NA 0 246 0 575 1996 301 9 0 112 0 104 0 598 1997 325 3 0 123 0 168 0 703 1998 225 3 0 114 0 170 0 758 1999 235 7 0 094 0 138 1 065 2000 284 4 0 105 0 085 0 898 2001 214 8 0 095 0 058 0 945 2002 228 7 0 096 0 072 0 738 2003 133 2 0 100 NA 0 543 2004 301 4 0 112 NA 0 303 2005 277 4 0 110 NA NA Year Precipitation mm NPP gm 2 y 1 Arthropodsumber of individualshectare 1 Rodentsumber of individualshectare 1 1989 NA NA NA 268 1990 NA NA NA 122 1991 NA NA NA 102 1992 NA NA 1193 439 1993 NA NA 986 376 1994 NA NA 1061 195 1995 NA NA 772 595 1996 NA NA 756 118 1997 NA NA 1811 551 1998 NA NA 795 305 1999 199 9 42 86 747 361 2000 254 1 49 66 323 478 2001 245 8 67 21 2416 148 2002 226 1 83 84 1451 279 2003 140 6 27 51 2158 695 2004 322 6 84 13 1650 255 2005 283 7 72 95 NA 476 2006 345 8 104 46 NA 301 2007 253 1 153 85 NA 997 2008 272 9 138 84 NA 404 2009 245 42 14 NA 654 2010 200 9 72 70 NA 202 2011 152 9 34 56 NA 239 2012 133 5 NA NA 335 2013 274 1 NA NA 174 Use the data in these tables to complete the tasks and questions outlined below a Summarise what variables are present in the data for each site, including the number of replicates and the duration of the studies ( Onesentence for each site ) b Pick two of the variables in Table1 and compose a hypothesis linking them ('Hypothesis1') that you could investigate using the data in that table Provide an explanation of the scientific basis for your choice c Looking at the data in Table2, and assuming that the majority of arthropods (such as grasshoppers) in this community eat plant material and that the rodents eat seeds and arthropods, suggest another hypothesis ('Hypothesis2') about how two of these variables might be linked to each other Provide an explanation of the scientific basis for your choice d Provide an example from either table of a link between variables that may operate with a time lag Suggest a third hypothesis (Hypothesis 3) that describes this link Results ( 15 marks ) a Use a spreadsheet program to draw a graph that is suitable for investigating a correlation between the two variables in your Hypothesis 1 Use an appropriate statistical test to test for a correlation between these variables Comment on whether your result is statistically significant b Now use a spreadsheet program to draw a graph that is suitable for investigating a correlation between the two variables in your Hypothesis 2 Use an appropriate statistical test to test for a correlation between these variables Again, comment on whether your result is statistically significant c Finally, use your spreadsheet software to draw a graph that is suitable for investigating the correlation between the variables in your Hypothesis 3 Use an appropriate statistical test to test for a correlation between these variables Again, comment on whether your result is statistically significant Paste the results obtained in this section into your emTMA answer Discussion ( 15 marks ) For each of your three hypotheses explain whether your data analysis supports your hypothesis and provide a scientific explanation for your result, linking to theoretical concepts and any relevant examples from other research that you have investigated outline alternative interpretations of the results, including how you might refine your initial hypothesis in light of your results suggest additional investigations and experiments that would enable you to test your hypothesis further place your results in context, with reference to other studies or sources of information Organise your answer as follows Part a) deals with Hypothesis 1 Part b) deals with Hypothesis 2 Part c) deals with Hypothesis 3 You must include reference to research from outside the module materials in your answer My WORK Method Site 1 The variables are Year, Precipitation (mm), Soil moisture (relative water content), Rabbit density (number of individuals per hectare), and Coyote density (number of individuals per km 2) The study spans from 1989 to 2005, with varying numbers of replicates for each variable due to some data being unavailable in certain years Site 2 The variables are Year, Precipitation (mm), NPP (g m 2 y 1), Arthropods (number of individuals per hectare), and Rodents (number of individuals per hectare) The study spans from 1989 to 2013, with varying numbers of replicates for each variable due to some data being unavailable in certain years b Hypothesis 1 There is a relationship between precipitation and rabbit density The scientific basis for this hypothesis is that precipitation can influence the availability of food resources for rabbits, which in turn can affect their population density c Hypothesis 2 There is a relationship between NPP (Net Primary Productivity) and the number of arthropods The scientific basis for this hypothesis is that NPP represents the amount of energy available in the ecosystem, which can influence the population size of primary consumers like arthropods d An example of a link between variables that may operate with a time lag could be between precipitation and NPP Changes in precipitation may not immediately affect NPP, as plants may take time to respond to changes in water availability Hypothesis 3 could be Changes in precipitation will affect NPP with a time lag of one year Results Hypothesis 1 Precipitation mm OHNWAUMNO 0 50 100 150 200 250 300 350 Rabit density number of individual hectar 1 Sample 1 Rank (R1) Sample 2 x2 Sample 2 Rank (R2)Hypothesis 2 3000 2500 2000 1500 Arthropods individual hectar 1 1000 500 O 0 10 20 30 40 50 60 70 80 90 NPP g m 2 y 1 Sample 1 Rank (R1) Sample 2 x2 Sample 2 Rank (R2)Hypothesis 3 3000 2500 2000 Precipitation mm 1500 1000 500 O 0 50 100 150 200 250 300 350 Arthropods Individual hectars 1 Sample 1 Rank (R1) Sample 2 x2 Sample 2 Rank (R2)

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I need help with this question especialy the method and the result and discussion . can you verify my graphs to see if what i

I need help with this question especialy the method and the result and discussion . can you verify my graphs to see if what i have done is correct i used the Spearman rank instead of using the Mann) Withney spreasheet. Could you tell me what would be best to use. And if you could look at my discussion i think they link anymore to the graphs if you could have a look

Question

Methods (10 marks)

Tables 1 and 2, below, show an edited data set of some of the components of the 'organizing framework' collected at two sites in Sevilleta. Note that in each of them, 'NA' means that no data are available for that variable in the relevant year. These data are also available in spreadsheet format from the 'Assessment' section of the module website.

Year	Precipitation/mm	Soil moisture/relative water content	Rabbit densityumber of individualshectare^?1	Coyote densityumber of individualskm^?2
1989	106.4	NA	NA	NA
1990	232.4	NA	NA	NA
1991	334.7	NA	NA	NA
1992	240.8	NA	0.060	0.880
1993	207.4	NA	0.272	0.702
1994	288.1	NA	0.125	0.793
1995	138.8	NA	0.246	0.575
1996	301.9	0.112	0.104	0.598
1997	325.3	0.123	0.168	0.703
1998	225.3	0.114	0.170	0.758
1999	235.7	0.094	0.138	1.065
2000	284.4	0.105	0.085	0.898
2001	214.8	0.095	0.058	0.945
2002	228.7	0.096	0.072	0.738
2003	133.2	0.100	NA	0.543
2004	301.4	0.112	NA	0.303
2005	277.4	0.110	NA	NA

Year	Precipitation/mm	NPP/gm^?2y^?1	Arthropodsumber of individualshectare^?1	Rodentsumber of individualshectare^?1
1989	NA	NA	NA	268
1990	NA	NA	NA	122
1991	NA	NA	NA	102
1992	NA	NA	1193	439
1993	NA	NA	986	376
1994	NA	NA	1061	195
1995	NA	NA	772	595
1996	NA	NA	756	118
1997	NA	NA	1811	551
1998	NA	NA	795	305
1999	199.9	42.86	747	361
2000	254.1	49.66	323	478
2001	245.8	67.21	2416	148
2002	226.1	83.84	1451	279
2003	140.6	27.51	2158	695
2004	322.6	84.13	1650	255
2005	283.7	72.95	NA	476
2006	345.8	104.46	NA	301
2007	253.1	153.85	NA	997
2008	272.9	138.84	NA	404
2009	245	42.14	NA	654
2010	200.9	72.70	NA	202
2011	152.9	34.56	NA	239
2012	133.5	NA	NA	335
2013	274.1	NA	NA	174

Use the data in these tables to complete the tasks and questions outlined below.

a.Summarise what variables are present in the data for each site, including the number of replicates and the duration of the studies. (Onesentence for each site)

b.Pick two of the variables in Table1 and compose a hypothesis linking them ('Hypothesis1') that you could investigate using the data in that table. Provide an explanation of the scientific basis for your choice.

c.Looking at the data in Table2, and assuming that the majority of arthropods (such as grasshoppers) in this community eat plant material and that the rodents eat seeds and arthropods, suggest another hypothesis ('Hypothesis2') about how two of these variables might be linked to each other. Provide an explanation of the scientific basis for your choice.

d.Provide an example from either table of a link between variables that may operate with a time lag. Suggest a third hypothesis (Hypothesis 3) that describes this link.

Results (15 marks)

a.Use a spreadsheet program to draw a graph that is suitable for investigating a correlation between the two variables in your Hypothesis 1. Use an appropriate statistical test to test for a correlation between these variables. Comment on whether your result is statistically significant.
b.Now use a spreadsheet program to draw a graph that is suitable for investigating a correlation between the two variables in your Hypothesis 2. Use an appropriate statistical test to test for a correlation between these variables. Again, comment on whether your result is statistically significant.
c.Finally, use your spreadsheet software to draw a graph that is suitable for investigating the correlation between the variables in your Hypothesis 3. Use an appropriate statistical test to test for a correlation between these variables. Again, comment on whether your result is statistically significant.

Paste the results obtained in this section into your emTMA answer.

Discussion (15 marks)

For each of your three hypotheses:

explain whether your data analysis supports your hypothesis and provide a scientific explanation for your result, linking to theoretical concepts and any relevant examples from other research that you have investigated

outline alternative interpretations of the results, including how you might refine your initial hypothesis in light of your results; suggest additional investigations and experiments that would enable you to test your hypothesis further

place your results in context, with reference to other studies or sources of information.

Organise your answer as follows:

Part a) deals with Hypothesis 1

Part b) deals with Hypothesis 2

Part c) deals with Hypothesis 3.

You must include reference to research from outside the module materials in your answer.

My WORK

Method:

Site 1: The variables are Year, Precipitation (mm), Soil moisture (relative water content), Rabbit density (number of individuals per hectare), and Coyote density (number of individuals per km^2). The study spans from 1989 to 2005, with varying numbers of replicates for each variable due to some data being unavailable in certain years.

Site 2: The variables are Year, Precipitation (mm), NPP (g m^-2 y^-1), Arthropods (number of individuals per hectare), and Rodents (number of individuals per hectare). The study spans from 1989 to 2013, with varying numbers of replicates for each variable due to some data being unavailable in certain years.

b. Hypothesis 1: There is a relationship between precipitation and rabbit density. The scientific basis for this hypothesis is that precipitation can influence the availability of food resources for rabbits, which in turn can affect their population density.

c. Hypothesis 2: There is a relationship between NPP (Net Primary Productivity) and the number of arthropods. The scientific basis for this hypothesis is that NPP represents the amount of energy available in the ecosystem, which can influence the population size of primary consumers like arthropods.

d. An example of a link between variables that may operate with a time lag could be between precipitation and NPP. Changes in precipitation may not immediately affect NPP, as plants may take time to respond to changes in water availability. Hypothesis 3 could be: Changes in precipitation will affect NPP with a time lag of one year.

Results:

Hypothesis 1 Precipitation/mm OHNWAUMNO 0 50 100 150 200 250 300 350 Rabit density/ number of individual hectar-1 . Sample 1 Rank (R1) .Sample 2 x2 . Sample 2 Rank (R2)Hypothesis 2 3000 2500 2000 1500 Arthropods/individual hectar-1 1000 500 O 0 10 20 30 40 50 60 70 80 90 NPP/g m--2 y-1 . Sample 1 Rank (R1) .Sample 2 x2 . Sample 2 Rank (R2)Hypothesis 3 3000 2500 2000 Precipitation/mm 1500 1000 500 O 0 50 100 150 200 250 300 350 Arthropods/ Individual hectars-1 . Sample 1 Rank (R1) . Sample 2 x2 .Sample 2 Rank (R2)