Internal Assessment Coversheet and Self-Assessment Session: May 2012Student Name: Jessie Tung Jhy Chi SL/HL Candidate

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Candidate declaration: “I confirm that this work is my own work and is the final version. I have acknowledged each use of the words or ideas of another person, whether written, oral or visual.”

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Design Data Collection and Processing Conclusion and Evaluation

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Table 1 show the distance of young trees from the initial position in each quadrant highlighted data refers to the ones collected by us

Distance/m (±0.02 m)

Quadrant 1 Quadrant 2 Quadrant 3 Quadrant 4

Set 1 2.70 3.30 2.60 8.76

Set 2 2.88 4.73 6.40 1.31

Set 3 5.29 2.11 6.60 3.67

Set 4 2.60 5.15 3.49 2.68

Set 5 8.91 3.10 6.30 7.15

Set 6 8.40 4.89 12.67 6.12

Set 7 1.33 2.28 1.07 1.38

Set 8 1.33 2.67 3.46 3.10

Set 9 3.48 1.40 1.96 1.84

Set 10 5.10 2.16 2.00 1.63

Set 11 2.24 1.90 1.55 4.03

Set 12 1.17 3.17 1.92 3.48

Set 13 4.10 4.32 2.12 5.05

Set 14 1.62 4.55 5.20 4.90

Set 15 2.14 3.47 3.44 7.86

Set 16 1.76 4.58 4.59 7.15

Set 17 4.00 2.42 1.47 1.37

Set 18 1.05 5.05 1.51 2.54

Set 19 1.79 4.21 3.69 3.22

Set 20 1.07 2.39 5.19 1.21

Set 21 5.29 2.11 6.60 3.67

Set 22 2.60 5.15 3.49 2.68

Set 23 8.91 3.10 6.30 7.15

Set 24 8.40 4.89 12.67 6.12

Set 25 2.64 4.16 4.08 4.39

Set 26 2.72 4.07 1.87 4.87

Table 2 shows calculation of the area of young forest.

Area / m2

Quadrant 1 Quadrant 2 Quadrant 3 Quadrant 4

Set 1 7.29 10.89 6.76 76.74

Set 2 8.29 22.37 40.96 1.72

Set 3 27.98 4.45 43.56 13.47

Set 4 6.76 26.52 12.18 7.18

Set 5 79.39 9.61 39.69 51.12

Set 6 70.56 23.91 160.53 37.45

Set 7 1.77 5.20 1.14 1.90

Set 8 1.77 7.13 11.97 9.61

Set 9 12.11 1.96 3.84 3.39

Set 10 26.01 4.67 4.00 2.66

Set 11 5.02 3.61 2.40 16.24

Set 12 1.37 10.05 3.69 12.11

Set 13 16.81 18.66 4.49 25.50

Set 14 2.62 20.70 27.04 24.01

Set 15 4.58 12.04 11.83 61.78

Set 16 3.10 20.98 21.07 51.12

Set 17 16.00 5.86 2.16 1.88

Set 18 1.10 25.50 2.28 6.45

Set 19 3.20 17.72 13.62 10.37

Set 20 1.14 5.71 26.94 1.46

Set 21 27.98 4.45 43.56 13.47

Set 22 6.76 26.52 12.18 7.18

Set 23 79.39 9.61 39.69 51.12

Set 24 70.56 23.91 160.53 37.45

Set 25 6.97 17.31 16.65 19.27

Set 26 7.40 16.56 3.50 23.72

Table 3 shows the calculation of percentage error of trees in young forest

Table 4 shows the calculation of the absolute uncertainty of the area of trees in young forest

Percentage Error/± %

Quadrant 1 Quadrant 2 Quadrant 3 Quadrant 4

Set 1 0.27 0.33 0.26 0.88

Set 2 0.29 0.47 0.64 0.13

Set 3 0.53 0.21 0.66 0.37

Set 4 0.26 0.52 0.35 0.27

Set 5 0.89 0.31 0.63 0.72

Set 6 0.84 0.49 1.27 0.61

Set 7 0.13 0.23 0.11 0.14

Set 8 0.13 0.27 0.35 0.31

Set 9 0.35 0.14 0.20 0.18

Set 10 0.51 0.22 0.20 0.16

Set 11 0.22 0.19 0.16 0.40

Set 12 0.12 0.32 0.19 0.35

Set 13 0.41 0.43 0.21 0.51

Set 14 0.16 0.46 0.52 0.49

Set 15 0.21 0.35 0.34 0.79

Set 16 0.18 0.46 0.46 0.72

Set 17 0.40 0.24 0.15 0.14

Set 18 0.11 0.51 0.15 0.25

Set 19 0.18 0.42 0.37 0.32

Set 20 0.11 0.24 0.52 0.12

Set 21 0.53 0.21 0.66 0.37

Set 22 0.26 0.52 0.35 0.27

Set 23 0.89 0.31 0.63 0.72

Set 24 0.84 0.49 1.27 0.61

Set 25 0.26 0.42 0.41 0.44

Set 26 0.27 0.41 0.19 0.49

Absolute Uncertainty of Area/± m2

Quadrant 1 Quadrant 2 Quadrant 3 Quadrant 4Set 1 1.97 3.59 1.76 67.22Set 2 2.39 10.58 26.21 0.22Set 3 14.80 0.94 28.75 4.94Set 4 1.76 13.66 4.25 1.92Set 5 70.73 2.98 25.00 36.55Set 6 59.27 11.69 203.39 22.92Set 7 0.24 1.19 0.12 0.26Set 8 0.24 1.90 4.14 2.98Set 9 4.21 0.27 0.75 0.62Set 10 13.27 1.01 0.80 0.43Set 11 1.12 0.69 0.37 6.55Set 12 0.16 3.19 0.71 4.21Set 13 6.89 8.06 0.95 12.88Set 14 0.43 9.42 14.06 11.76Set 15 0.98 4.18 4.07 48.56Set 16 0.55 9.61 9.67 36.55Set 17 6.40 1.42 0.32 0.26Set 18 0.12 12.88 0.34 1.64Set 19 0.57 7.46 5.02 3.34Set 20 0.12 1.37 13.98 0.18Set 21 14.80 0.94 28.75 4.94Set 22 1.76 13.66 4.25 1.92Set 23 70.73 2.98 25.00 36.55Set 24 59.27 11.69 203.39 22.92Set 25 1.84 7.20 6.79 8.46Set 26 2.01 6.74 0.65 11.55

Table 5 shows the calculation of density, total area and standard deviation of young forest

Total Area/m2 2136.50

Standard Deviation 30.93

Density /m2 27.07

Table 6 shows the distance of old trees from the initial position in each quadrant and highlighted data refers to the ones collected by us

Table 7 shows

calculation of the area of old forest.

Table 8 shows the calculation of percentage error of trees in old forest

Distance/ m (±0.02 m)

Quadrant 1 Quadrant 2 Quadrant 3 Quadrant 4

Set 1 1.30 5.60 5.12 1.50

Set 2 1.58 3.26 3.43 2.88

Set 3 7.86 3.04 1.97 3.73

Set 4 1.14 2.95 3.37 2.81

Set 5 1.42 7.00 8.33 2.69

Set 6 6.18 8.40 1.16 12.88

Set 7 1.42 2.11 1.12 3.41

Set 8 2.14 4.51 6.78 2.05

Set 9 5.50 9.20 9.40 3.34

Set 10 8.00 1.05 5.10 3.25

Set 11 4.27 2.01 2.63 3.03

Set 12 1.78 1.93 9.20 5.20

Set 13 4.00 2.12 4.60 1.13

Set 14 4.50 3.44 2.23 1.89

Set 15 2.50 1.22 1.93 1.02

Set 16 4.51 3.76 3.59 4.45

Set 17 1.56 2.26 4.30 1.44

Set 18 2.30 2.10 7.00 2.08

Set 19 2.69 4.10 7.40 5.89

Set 20 1.89 2.58 2.25 3.73

Set 21 7.86 3.04 1.97 3.73

Set 22 1.14 2.95 3.37 2.82

Set 23 2.97 3.72 2.20 6.40

Set 24 7.43 6.21 1.82 9.57

Set 25 2.75 6.60 3.56 2.80

Set 26 4.42 3.60 4.50 4.62

Area / m2

Quadrant 1 Quadrant 2 Quadrant 3 Quadrant 4

Set 1 1.69 31.36 26.21 2.25

Set 2 2.50 10.63 11.76 8.29

Set 3 61.78 9.24 3.88 13.91

Set 4 1.30 8.70 11.36 7.90

Set 5 2.02 49.00 69.39 7.24

Set 6 38.19 70.56 1.35 165.89

Set 7 2.02 4.45 1.25 11.63

Set 8 4.58 20.34 45.97 4.20

Set 9 30.25 84.64 88.36 11.16

Set 10 64.00 1.10 26.01 10.56

Set 11 18.23 4.04 6.92 9.18

Set 12 3.17 3.72 84.64 27.04

Set 13 16.00 4.49 21.16 1.28

Set 14 20.25 11.83 4.97 3.57

Set 15 6.25 1.49 3.72 1.04

Set 16 20.34 14.14 12.89 19.80

Set 17 2.43 5.11 18.49 2.07

Set 18 5.29 4.41 49.00 4.33

Set 19 7.24 16.81 54.76 34.69

Set 20 3.57 6.66 5.06 13.91

Set 21 61.78 9.24 3.88 13.91

Set 22 1.30 8.70 11.36 7.95

Set 23 8.82 13.84 4.84 40.96

Set 24 55.20 38.56 3.31 91.58

Set 25 7.56 43.56 12.67 7.84

Set 26 19.54 12.96 20.25 21.34

Percentage Error/± %

Quadrant 1 Quadrant 2 Quadrant 3 Quadrant 4

Set 1 0.13 0.56 0.51 0.15

Set 2 0.16 0.33 0.34 0.29

Set 3 0.79 0.30 0.20 0.37

Set 4 0.11 0.30 0.34 0.28

Set 5 0.14 0.70 0.83 0.27

Set 6 0.62 0.84 0.12 1.29

Set 7 0.14 0.21 0.11 0.34

Set 8 0.21 0.45 0.68 0.21

Set 9 0.55 0.92 0.94 0.33

Set 10 0.80 0.11 0.51 0.33

Set 11 0.43 0.20 0.26 0.30

Set 12 0.18 0.19 0.92 0.52

Set 13 0.40 0.21 0.46 0.11

Set 14 0.45 0.34 0.22 0.19

Set 15 0.25 0.12 0.19 0.10

Set 16 0.45 0.38 0.36 0.45

Set 17 0.16 0.23 0.43 0.14

Set 18 0.23 0.21 0.70 0.21

Set 19 0.27 0.41 0.74 0.59

Set 20 0.19 0.26 0.23 0.37

Set 21 0.79 0.30 0.20 0.37

Set 22 0.11 0.30 0.34 0.28

Set 23 0.30 0.37 0.22 0.64

Set 24 0.74 0.62 0.18 0.96

Set 25 0.28 0.66 0.36 0.28

Set 26 0.44 0.36 0.45 0.46

Table 9 shows the calculation of the absolute uncertainty of the area of trees in old forest

Table 10 shows the calculation of density, total area and standard deviation of old forest

Absolute Uncertainty of Area/± m2

Quadrant 1 Quadrant 2 Quadrant 3 Quadrant 4Set 1 0.22 17.56 13.42 0.34Set 2 0.39 3.46 4.04 2.39Set 3 48.56 2.81 0.76 5.19Set 4 0.15 2.57 3.83 2.22Set 5 0.29 34.30 57.80 1.95Set 6 23.60 59.27 0.16 213.67Set 7 0.29 0.94 0.14 3.97Set 8 0.98 9.17 31.17 0.86Set 9 16.64 77.87 83.06 3.73Set 10 51.20 0.12 13.27 3.43Set 11 7.79 0.81 1.82 2.78Set 12 0.56 0.72 77.87 14.06Set 13 6.40 0.95 9.73 0.14Set 14 9.11 4.07 1.11 0.68Set 15 1.56 0.18 0.72 0.11Set 16 9.17 5.32 4.63 8.81Set 17 0.38 1.15 7.95 0.30Set 18 1.22 0.93 34.30 0.90Set 19 1.95 6.89 40.52 20.43Set 20 0.68 1.72 1.14 5.19Set 21 48.56 2.81 0.76 5.19Set 22 0.15 2.57 3.83 2.24Set 23 2.62 5.15 1.06 26.21Set 24 41.02 23.95 0.60 87.65Set 25 2.08 28.75 4.51 2.20Set 26 8.64 4.67 9.11 9.86

Total area/m2 2101.91

Standard Deviation 26.11

Density/m2 20.21

Graph 1 shows the density of trees in both forest with their standard deviation.

Young Forest Old Forest0

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20.54 20.21

Tree

Den

sity/

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Qualitative Data

Young forest:

- It was located on a steeper part of the forest- The trees were not cut down- It’s trunk is bigger than the human wrist- There were more wild grasses surrounding the trees

Old forest:

- We considered it as a tree when its diameter of the trunk is bigger than a human wrist- The trees were cut down- It was located on a flatter surface of the forest

Sample Data processing

- To get the area, Microsoft Excel power of 2 function is used. o For example : =Power(I3,2)

- To get the percentage error, this formula is used “=((0.05/E5))*2*L6” , E5 being the initial distance and L6 being the area resulting from the squared of the initial distance

- To get absolute uncertainty, each area is multiplied with their respective percentage error. - To get the total area, the SUM formula is used in Microsoft Excel

o For example : =SUM(Y12:AB12)- To get the standard deviation, the STDEV formula is used in Microsoft Excel

o For example : =STDEV(I3:L28)- To get the density, total area is divided by the total amount of trees, which is 104.

Data Collection and Processing

Complete / 2 Partial / 1 Not at all / 0

ASPECT

Recording raw data

Records appropriate quantitative data and

associated qualitative raw data, including units and uncertainties

where relevant.

Records appropriate quantitative and

associated qualitative raw data, but with some

mistakes or omissions.

Does not record any appropriate quantitative raw data OR raw data is

incomprehensible.

Processing raw data

Processes the quantitative raw data correctly.

Processes quantitative raw data, but with some

mistakes and/ or omissions.

No processing of raw data is carried out OR major mistakes are made in

processing.

Presenting processed

data

Presents processed data appropriately and, where

relevant, includes errors and uncertainties.

Presents processed data appropriately, but with some mistakes and/or

omissions.

Presents processed data inappropriately OR incomprehensibly.

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Aspect 1: Recording Raw DataDCP1.1 Most labs provide opportunities for

Associated qualitative data (observations).DCP1.5 Decimal points consistent throughout

DCP1.2 Units of IV and DV present and correct. Absent or incorrect leads to zero awarded.

DCP1.6 Decimal points consistent with precision of the measuring equipment

DCP1.3 Uncertainties correct (± __ ) DCP1.7 Raw data clearly distinguished from processed data (possibly separate table)

DCP1.4 All data are recorded correctly and honestly

Aspect 2: Processing Raw DataDCP2.1 Calculations to determine DV carried out, if

necessaryDCP2.5 Standard deviations included where

appropriate, to appropriate decimal places

DCP2.2 Calculations or statistical tests appropriate to investigation and address RQ

DCP2.6 Uncertainties adjusted/removed to reflect any calculations carried out.

DCP2.3 Mathematics correctly applied DCP2.7 Processed data (and decimal places) consistent with precision of recorded data

DCP2.4 Formula (or excel equivalent) stated. Better worked examples given.

Aspect 3: Presenting Processed DataDCP3.1 Titles self-explanatory and complete DCP3.7 Error bars included, unless insignificantDCP3.2 Consistent decimal places DCP3.8 Error bar source (e.g. standard deviation)

stated and s.d. data are correctDCP3.3 Uncertainties/ errors included DCP3.9 Appropriate best-fit curve should be

present unless comparing meansDCP3.4 Appropriate choice of graph DCP3.10 Tables & graphs do not break across pagesDCP3.5 Axes labeled clearly, including metric/ SI

units and uncertainties of valuesDCP3.11 Effective use of space leads to clarity of

presentationDCP3.6 Axes scaled appropriately DCP3.12 Graphs clear, colouring appropriate