DASC 512, Homework 4
1. This data from ‘halo1.dat’ is taken from the Journal of Personality and Social Psychology (1974): A
study was designed to determine if a persons essay quality or attractiveness played a role in the grading
of essays. Column 1 in the data is essay quality (rated good=1,poor=2), the second column is student
attractiveness (1=attractive, 2=control, 3=unattractive). And the third column is the response (essay
score).
Construct an interaction plot and the full anova table (row for treatment as well as each factor). The
‘.dat’ file is a tab delimited text file.
2. The data ‘virtual training.csv’ examines the effects of different trainig methods a procedure to launch
a lifeboat (column 1, 1=lecture/materials, 2=monito
keyboard, 3=head monitor display/joypad,
4=head monitor display/wearables). The results are included in column 2 and are a measurement
of the post-test procedural knowledge score.
Construct an anova table to determine if the method of instruction had an effect on the procedural
knowledge score. Perform a multiple comparison of means using Bonfe
oni method (6 t-tests with
shared α) and Tukey.
HW 1, DASC 512, Page 1
XXXXXXXXXX8.76
XXXXXXXXXX24.26
XXXXXXXXXX13.38
XXXXXXXXXX25.30
XXXXXXXXXX16.62
XXXXXXXXXX16.19
XXXXXXXXXX17.25
XXXXXXXXXX19.67
XXXXXXXXXX19.08
XXXXXXXXXX18.49
XXXXXXXXXX18.51
XXXXXXXXXX26.09
XXXXXXXXXX14.41
XXXXXXXXXX19.90
XXXXXXXXXX18.28
XXXXXXXXXX16.83
XXXXXXXXXX19.79
XXXXXXXXXX13.65
XXXXXXXXXX15.06
XXXXXXXXXX16.48
XXXXXXXXXX18.54
XXXXXXXXXX12.49
XXXXXXXXXX23.81
XXXXXXXXXX15.36
XXXXXXXXXX21.79
XXXXXXXXXX12.82
XXXXXXXXXX16.47
XXXXXXXXXX9.10
XXXXXXXXXX11.24
XXXXXXXXXX13.37
XXXXXXXXXX14.05
XXXXXXXXXX18.47
XXXXXXXXXX15.47
XXXXXXXXXX10.26
XXXXXXXXXX19.45
XXXXXXXXXX10.75
XXXXXXXXXX19.42
XXXXXXXXXX13.11
XXXXXXXXXX13.71
XXXXXXXXXX14.30
XXXXXXXXXX23.13
XXXXXXXXXX14.76
XXXXXXXXXX20.09
XXXXXXXXXX4.63
XXXXXXXXXX17.15
XXXXXXXXXX6.97
XXXXXXXXXX16.87
XXXXXXXXXX8.50
XXXXXXXXXX10.13
XXXXXXXXXX11.77
XXXXXXXXXX4.58
XXXXXXXXXX2.29
XXXXXXXXXX14.49
XXXXXXXXXX4.94
XXXXXXXXXX8.73
XXXXXXXXXX10.17
XXXXXXXXXX11.07
XXXXXXXXXX11.02
XXXXXXXXXX10.25
XXXXXXXXXX9.47
grp.trt,procKnow
1,4.5614
1,6.6593
1,5.6427
1,6.4394
1,4.8635
1,0.3268
1,5.6990
1,6.3545
1,6.7509
1,6.6019
1,3.2365
1,6.1655
1,2.4060
1,1.9851
1,5.2198
1,5.9765
2,5.4532
2,8.9208
2,8.3489
2,8.3175
2,9.7848
2,6.2697
2,7.1327
2,7.0886
2,5.0733
2,8.3865
2,9.4227
2,8.9142
2,8.5150
2,6.8198
2,8.6390
2,6.2467
3,1.8773
3,6.1884
3,6.8029
3,9.4535
3,8.7312
3,6.4198
3,8.4955
3,5.9008
3,3.3336
3,1.6530
3,9.4710
3,7.2818
3,9.7649
3,3.4931
3,8.9848
3,9.9261
4,9.8257
4,8.9988
4,5.4112
4,4.9396
4,8.6486
4,5.1459
4,7.0656
4,7.9552
4,5.7284
4,6.6314
4,7.5014
4,8.2456
4,4.2465
4,3.2286
4,6.5520
4,9.8754