Round 2 Peer Assessment Results

This shows the results of the peer evaluation process. Portfolios are ranked according to the percent of revenues available in each market that were earned by each portfolio. The Skills column shows the computer skill rating you reported in the skills assessment task that I assigned the first week of this course. .

Note: The results shown here may differ from those shown in last weeks task because last week's task included all submissions, including those in the pending, revise and accepted states. This table only includes submissions that were actually accepted.
# Portfolio TEB % S Market Deposits

1

SaraRBartos

36.00

16.00

4

3=225.00

5 4 4 5 0 5 4 0 5 0 0 4

2

MichaelRMcCaffery

40.00

14.55

3

4=275.00

6 10 0 0 3 3 0 4 4 0 5 3 2

3

JohnAndre

29.00

12.89

5

3=225.00

3 0 4 4 0 4 4 0 3 4 0 3

4

MaryANademin

35.00

12.73

4

2=275.00

3 2 8 2 0 4 3 3 2 0 4 4

5

RonaldESappenfield

27.00

12.00

0

3=225.00

2 4 2 2 0 3 5 0 0 4 0 5

6

JonathonPerrelli

32.00

11.64

5

2=275.00

3 3 6 2 0 0 3 2 4 4 2 3

7

JohnGPayneJr

31.00

11.27

5

4=275.00

0 5 0 4 3 3 0 4 2 0 1 6 3

8

KatrinaJJoseph

25.00

11.11

6

3=225.00

3 4 0 4 0 2 3 0 3 3 0 3

9

CarolIvory

36.00

11.08

3

1=325.00

3 4 3 3 0 4 2 3 4 3 3 2 2

10

ElaineGreene

30.00

10.91

7

2=275.00

2 2 0 2 0 4 4 2 2 2 5 5

11

MarkRDuke

30.00

10.91

8

4=275.00

2 0 0 10 3 2 7 2 2 0 2 0 0

12

DonnaMSink

29.00

10.55

4

2=275.00

4 0 2 2 0 3 3 3 1 4 4 3

13

NutnichaSanguanraksa

29.00

10.55

3

2=275.00

3 2 1 4 0 3 4 5 1 4 2 0

14

BethAlwin

32.00

9.85

6

1=325.00

3 0 4 2 5 3 0 2 3 3 3 1 3

15

RobertLanier

22.00

9.78

6

3=225.00

2 3 2 1 0 3 3 0 2 4 0 2

16

DariaDenissova

31.00

9.54

2

1=325.00

3 2 2 3 2 3 5 0 2 2 3 2 2

17

DanielSullivan

26.00

9.45

5

2=275.00

0 2 1 2 0 3 0 4 5 4 2 3

18

StevenLaFroth

21.00

9.33

7

3=225.00

5 3 2 2 0 1 1 0 3 4 0 0

19

MattPayne

25.00

9.09

5

4=275.00

2 2 0 3 3 2 3 2 2 0 1 2 3

20

BethMcCoy

28.00

8.62

6

1=325.00

4 4 0 2 3 2 0 2 2 3 2 1 3

21

DavidSchatzman

28.00

8.62

7

1=325.00

4 2 3 2 2 2 0 3 1 0 3 3 3

22

MaxineDavis

19.00

8.44

2

3=225.00

2 2 3 1 0 0 3 0 3 3 0 2

23

ChienFuChen

27.00

8.31

4

1=325.00

2 1 2 1 3 0 2 2 2 2 2 7 1

24

ChristopherFeola

27.00

8.31

9

1=325.00

2 1 2 3 1 3 0 2 4 1 1 4 3

25

JulianneMRuddy

22.00

8.00

1

2=275.00

2 4 1 3 0 1 2 0 2 4 2 1

26

StevenGrange

21.00

7.64

6

4=275.00

4 1 0 2 2 4 0 3 0 0 2 1 2

27

WilliamCPurdy

21.00

7.64

6

4=275.00

1 1 0 0 1 1 8 2 1 0 4 0 2

28

HyeunHeeKim

17.00

7.56

0

3=225.00

0 2 2 2 0 2 2 0 2 3 0 2

29

GeorgeBennett

23.00

7.08

8

1=325.00

3 1 1 2 1 3 5 2 1 1 0 1 2

30

RoseJohnson

19.00

6.91

5

4=275.00

3 1 0 3 0 2 0 2 5 0 1 0 2

31

GregoryPBalzer

22.00

6.77

5

1=325.00

0 3 2 1 3 2 2 2 1 2 3 0 1

32

NGALIEUBERTIN

22.00

6.77

1

1=325.00

0 2 2 1 2 2 5 2 1 2 2 1 0

33

JosephJDolan

18.00

6.55

5

2=275.00

3 3 1 3 0 1 0 1 1 1 4 0

34

StephenLNegri

18.00

6.55

3

4=275.00

1 1 0 1 2 1 4 0 3 0 1 1 3

35

WongsiriRianrungroj

18.00

6.55

7

4=275.00

1 2 0 0 2 3 0 2 2 0 4 2 0

36

AliKheder

20.00

6.15

3

1=325.00

0 2 1 2 2 1 2 2 2 2 1 1 2

37

CarinaLynch

19.00

5.85

4

1=325.00

1 2 2 0 1 0 2 2 2 3 1 1 2

38

MarkDFlannery

13.00

5.78

4

3=225.00

2 1 2 3 0 2 0 0 2 0 0 1

39

GaryCMalloy

15.00

5.45

2

2=275.00

2 1 1 0 0 1 0 3 4 0 0 3

40

KevinBLefton

15.00

5.45

2

2=275.00

2 2 1 2 0 3 2 0 0 0 0 3

41

SharonMSouthard

15.00

5.45

8

4=275.00

1 0 0 0 2 2 0 1 1 0 2 4 2

42

JenniferLittle

14.00

5.09

3

2=275.00

0 2 2 2 0 2 2 0 2 2 0 0

43

ScottPerksy

14.00

5.09

4

4=275.00

2 0 0 0 2 0 0 3 3 0 1 0 3

44

TheresaWerner

14.00

5.09

3

4=275.00

0 1 0 2 1 1 3 0 0 0 1 4 1

45

KevinParra

10.00

4.44

6

3=225.00

1 2 2 0 0 2 0 0 1 0 0 2

46

MelindaSPajak

10.00

3.64

7

2=275.00

1 2 1 1 0 0 2 2 1 0 0 0

47

ThomasEPorter

9.00

3.27

7

4=275.00

2 1 0 0 1 1 0 0 0 0 0 2 2

48

DavidSSuh

10.00

3.08

5

1=325.00

0 1 1 3 0 0 0 1 0 1 1 1 1

49

PrakittayaChangsila

6.00

2.67

4

3=225.00

0 0 2 1 0 1 0 0 1 0 0 1

50

SeanRussell

0.00

0.00

5

3=225.00

0 0 0 0 0 0 0 0 0 0 0 0
Legend

Student
The student name hotlinked to the portfolio url that was reported by resubmitting the registration task
TEB
The total TEB earned by this student; the sum of the deposits column.
%
The percentage of the total TEBs available in each market earned by this student. I've sorted the results by the % of Market column, instead of the raw "TEB earned" column, because this adjusts for the different number of people in each market and thus the number of TEB that was available to be earned in each market. TEB*100/(total TEBs in circulation in that market)
S (Skill):
The computer skill rating from the skills assessment task.
Market
Which market this student was in. The number after the = is the total TEBs that has been spent within that market to date.
Deposits
The deposit history. The number of TEB earned by this student from each member of their market.

I sorted the results by the % of Market column, instead of the raw "TEB earned" column, to adjust for the different number of people that actively participated in each market and thus the number of TEB that was available to be earned in each market.

This presents this table as a histogram. The rows show the percentage of money in each market earned by individuals. The graphics show how many earned each percentage.

%

# of students who earned that %

16

    

15

 

14

    

13

 

12

        

11

          

10

          

9

              

8

              

7

          

6

                

5

                  

4

    

3

        

2

    

1

 

0

    

This task typically generates classical Gaussian (Bell Curve) distributions that are very similar to the wealth distributions of real market economies. A few gets most of the wealth, some get nothing, and there's a huge middle class in between.