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Small classroom market: population

Run this market yourself

A saved run of the simulator: everyone who opens it sees this same market. Simulated from the assumptions in the parameters; not a prediction of any real applicant's or program's match.

Applicants
60
generated
Programs
8
generated
Positions
50
1.200 applicants per position
Positions per program
6.0
median; 2 to 13

The market, as generated

60 applicants for 50 positions in 8 programs: 1.200 applicants per position (requested 1.2). Programs have 2 to 13 positions (median 6.0, mean 6.25). Requested values are shown where the population was generated.

Applicant groups
GroupShareStrength meanStrength SD
non_us_img 0.250 (0.25) -1.13 (-1.3) 0.85 (1.0)
other 0.050 (0.04) -0.58 (-0.5) 0.49 (1.0)
us_do 0.183 (0.18) 0.72 (0.35) 1.04 (1.0)
us_img 0.083 (0.09) -0.75 (-1.0) 0.62 (1.0)
us_md 0.433 (0.44) 0.50 (0.5) 0.84 (1.0)
Program tiers
TierShareQuality mean
all 1.000 (1.0) -0.20 (0.0)
Applicant attributes (what programs evaluate)
AttributeCorrelation with strengthMean weight from programs
board_scores 0.780 (0.8) 0.517 (0.500)
honors 0.607 (0.6) 0.175 (0.200)
research 0.618 (0.5) 0.308 (0.300)
Program attributes (what applicants evaluate)
AttributeCorrelation with qualityMean weight from applicants
location -0.040 (0.0) 0.314 (0.300)
program_size -0.911 (from capacity) 0.205 (0.200)
reputation 0.836 (0.9) 0.480 (0.500)

Share of the common view that the attributes add beyond latent quality: 0.020 for applicants, 0.025 for programs.

Distributions

Did the generator produce the applicants asked for?

Did the generator produce the applicants asked for?

A histogram of applicant strength (z-scores) in this run. When the applicants were generated, a line shows the counts the parameters ask for: the mixture of the applicant groups' normal distributions. Bars that follow the line mean the population is what the parameters describe. The summary gives the largest deviation in standard errors; above 4, the generator did not produce what was asked. Uploaded applicants have no line: their strengths are given, not drawn.

Learn more in the help

Applicant strength: 60 applicants in 20 bins from -3.03 to 2.34; the fullest bin holds 7.

The numbers
FromToCount
-3.03 -2.76 1
-2.76 -2.49 0
-2.49 -2.22 1
-2.22 -1.96 0
-1.96 -1.69 2
-1.69 -1.42 2
-1.42 -1.15 4
-1.15 -0.88 2
-0.88 -0.61 7
-0.61 -0.35 4
-0.35 -0.08 7
-0.08 0.19 7
0.19 0.46 6
0.46 0.73 2
0.73 1.00 4
1.00 1.26 3
1.26 1.53 2
1.53 1.80 1
1.80 2.07 2
2.07 2.34 3
Did the generator produce the programs asked for?

Did the generator produce the programs asked for?

A histogram of program quality (z-scores) in this run, with the counts the parameters ask for (the tiers' normal distributions, or one normal distribution without tiers) when the programs were generated. Bars that follow the line mean the programs are what the parameters describe. Uploaded programs have no line: their qualities are given, not drawn.

Learn more in the help

Program quality: 8 programs in 20 bins from -1.87 to 1.77; the fullest bin holds 2.

The numbers
FromToCount
-1.87 -1.69 1
-1.69 -1.51 0
-1.51 -1.32 0
-1.32 -1.14 0
-1.14 -0.96 0
-0.96 -0.78 1
-0.78 -0.60 1
-0.60 -0.42 1
-0.42 -0.23 2
-0.23 -0.05 0
-0.05 0.13 0
0.13 0.31 0
0.31 0.49 0
0.49 0.68 0
0.68 0.86 0
0.86 1.04 0
1.04 1.22 1
1.22 1.40 0
1.40 1.59 0
1.59 1.77 1
How are the positions spread over programs?

How are the positions spread over programs?

How many programs have each number of positions. A long right tail means a few large programs hold many of the positions. The key numbers above give the median and the range.

Learn more in the help

Positions per program: 8 programs in 20 bins from 2.00 to 13.00; the fullest bin holds 3.

The numbers
FromToCount
2.00 2.55 1
2.55 3.10 1
3.10 3.65 0
3.65 4.20 2
4.20 4.75 0
4.75 5.30 0
5.30 5.85 0
5.85 6.40 0
6.40 6.95 0
6.95 7.50 0
7.50 8.05 3
8.05 8.60 0
8.60 9.15 0
9.15 9.70 0
9.70 10.25 0
10.25 10.80 0
10.80 11.35 0
11.35 11.90 0
11.90 12.45 0
12.45 13.00 1