FEV1 data 2.259 2.531 2.887 2.578 3.329 3.847 2.813 2.278 2.65 2.561 2.017 3.058 1.72 2.631 1.649 1.744 2.85 3.774 3.078

[answerhappygod]

FEV1 data
2.259
2.531
2.887
2.578
3.329
3.847
2.813
2.278
2.65
2.561
2.017
3.058
1.72
2.631
1.649
1.744
2.85
3.774
3.078
2.304
3
1.415
2.175
3.074
2.957
1.253
2.57
3.141
3.193
2.276
2.913
4.683
5.638
3.011
3.001
1.004
1.429
3.122
3.745
2.335
2.341
3.048
2.55
1.773
2.827
2.639
2.356
3.78
3.369
2.201
2.358
2.481
4.279
2.556
2.336
2.123
1.536
2.258
3.166
2.081
2.262
2.32
2.822
2.851
1.589
2.056
2.903
1.092
1.527
2.115
2.457
2.434
1.886
2.365
2.048
3.016
3.135
2.119
1.754
4.309
3.395
1.844
2.841
3.835
2.717
1.523
3.004
3.029
2.501
1.858
3.406
2.332
3.33
3.038
3.111
1.634
1.572
2.868
1.612
2.822
2.435
2.891
3.984
1.282
1.102
2.241
2.795
2.246
2.076
3.751
1.969
3.022
3.456
4.842
2.328
2.993
2.387
1.547
2.463
1.672
1.423
1.577
4.13
4.404
2.341
3.436
4.5
1.682
2.487
1.897
2.069
1.481
4.506
2.354
1.495
4.448
3.32
3.09
2.158
3.111
2.358
1.698
2.563
1.461
2.997
2.144
2.642
2.608
1.776
2.382
3.082
2.303
5.224
3.806
1.536
2.562
2.871
2.545
2.084
3.147
3.501
2.015
1.072
1.75
3.222
3.96
2.964
4.504
2.111
2.819
3.236
2.659
3.5
2.419
2.838
3.078
3.297
1.694
4.324
2.665
2.635
3.279
3.069
3.05
2.118
1.94
1.953
2.094
1.609
2.352
2.288
2.135
2.714
2.287
3.331
1.808
3.795
2.264
1.348
1.703
1.535
2.579
2.292
1.759
1.512
1.895
3.47
1.855
3.255
3.556
3.345
2.887
3.251
1.4
2.069
1.858
1.987
1.742
1.829
2.759
3.727
1.697
2.458
4.07
2.988
1.665
2.463
3.132
1.979
1.657
3.206
2.732
3.004
3.127
2.866
2.293
2.076
4.637
2.352
1.919
3.231
2.677
2.529
2.17
3.208
1.473
1.78
2.673
1.165
3.354
1.826
1.953
2.673
1.796
3.791
3.587
2.211
1.658
2.797
1.602
2.659
3.056
2.09
2.069
2.606
3.498
4.073
2.071
3.583
2.56
1.256
2.975
1.691
2.894
2.175
3.681
2.25
4.225
2.364
3.007
3.688
4.271
2.971
1.912
2.535
2.571
2.928
2.633
1.523
1.735
3.515
1.603
3.2
2.569
4.724
3.681
1.631
4.393
2.504
3.985
2.366
1.872
4.086
1.415
3.519
2.13
2.578
2.884
3.924
1.796
1.611
2.004
1.794
1.562
3.11
3.114
2.362
3.079
4.756
1.335
2.592
2.976
1.716
2.457
2.981
4.593
0.839
3.086
1.931
2.348
2.42
3.035
2.1
1.552
1.755
2.455
2.864
3.654
1.789
3.577
2.704
2.417
2.599
2.574
1.917
1.935
2.46
3.169
1.343
2.347
2.538
2.216
2.72
1.747
2.219
2.305
2.798
3.28
2.135
2.25
2.889
1.708
1.591
1.569
3.211
1.698
1.431
2.14
3.06
1.338
2.751
3.785
1.718
2.709
4.08
4.877
2.386
2.166
3.305
3.35
1.823
3.799
1.942
2.002
2.604
2.564
2.123
3.977
2.725
1.37
2.095
3.411
2.164
2.542
2.688
2.145
1.452
3.906
1.937
0.791
1.789
2.503
3.223
2.165
1.933
1.69
1.827
2.384
3.082
1.418
2.1
2.812
3.082
3.49
3.741
2.974
3.247
2.833
2.417
2.906
2.631
4.591
1.404
3.489
1.146
2.927
2.435
1.878
3.258
4.27
4.763
3.023
2.754
3.171
3.102
3.731
4.045
4.305
3.108
2.631
2.689
3.297
3.089
3.223
1.292
2.485
1.858
2.688
4.872
2.354
2.608
2.333
2.182
2.691
2.301
2.866
2.681
2.646
3.12
1.999
3.549
4.831
3.53
2.196
1.606
2.993
2.499
2.592
1.624
2.98
2.935
1.715
2.973
1.556
2.102
2.04
3.169
1.612
2.696
2.226
3.515
1.932
3.239
3.957
2.855
1.826
1.991
4.789
3.692
2.605
2.568
1.359
1.624
0.796
2.531
3.341
2.5
2.481
3.428
1.726
2.387
2.581
2.752
1.427
2.056
2.665
3.994
1.344
3.343
2.126
3.104
1.666
4.72
2.42
2.893
2.042
3.585
4.065
2.318
1.947
4.073
2.891
1.877
2.923
2.135
5.083
3.339
1.697
2.498
2.491
2.216
3.222
1.962
2.093
1.751
2.016
2.862
3.058
1.338
2.853
4.007
1.713
2.458
3.082
3.68
2.391
3.203
2.01
2.988
2.22
2.187
3.845
3.425
1.869
1.389
4.299
1.675
1.458
1.811
5.102
1.79
2.246
2.09
2.524
3.042
3.387
2.371
2.346
4.22
1.92
2.752
3.596
2.715
2.646
2.23
3.645
1.724
4.203
1.905
2.193
2.588
2.953
2.198
2.785
2.104
3.816
2.449
3.529
4.336
3.887
3.186
2.215
3.086
5.793
1.64
2.77
2.236
1.343
1.558
2.52
Age data
9
8
15
11
10
11
10
15
9
10
5
11
7
8
7
8
9
11
13
12
9
7
10
14
11
7
9
13
13
14
12
14
17
11
12
4
8
15
13
8
8
10
7
9
11
8
10
14
11
10
10
10
15
12
8
11
5
8
10
11
6
9
11
9
5
7
16
5
6
5
9
13
9
10
9
9
9
9
9
14
14
8
12
12
9
6
15
9
11
5
17
12
15
10
11
6
6
12
7
12
8
14
13
5
4
12
16
10
9
12
9
11
10
14
8
11
10
8
9
6
6
4
11
18
10
14
15
7
9
8
8
6
15
11
7
13
11
10
7
10
8
8
11
7
14
8
10
10
5
8
12
8
12
14
6
11
9
10
7
13
12
8
3
7
12
17
9
16
7
13
11
11
17
7
10
11
13
11
11
8
15
12
11
10
8
8
8
10
7
9
8
8
12
10
13
5
10
15
6
8
6
12
10
8
8
9
11
9
13
9
19
11
10
5
9
10
8
7
7
12
15
8
8
16
11
10
11
10
6
8
11
8
9
10
11
8
9
11
10
6
12
13
9
11
13
7
8
10
7
10
7
9
8
7
12
11
8
7
9
6
9
13
8
8
11
10
11
8
11
9
5
10
6
11
8
9
10
13
10
10
16
14
12
9
7
9
11
11
8
8
11
7
10
12
17
11
7
12
10
15
7
8
18
6
19
9
7
11
12
6
7
8
8
8
10
9
11
12
13
8
9
13
9
9
16
11
4
13
8
9
8
12
10
5
5
9
10
11
4
13
13
12
13
9
7
7
9
11
5
12
14
10
10
6
7
8
9
11
7
10
12
9
9
4
15
7
6
11
13
6
12
13
6
8
12
13
11
9
10
10
10
15
9
7
9
7
8
11
9
7
7
11
9
11
10
8
5
13
10
5
7
8
9
9
9
7
7
12
18
4
9
11
12
11
14
11
11
9
11
18
9
10
3
10
5
8
10
6
11
16
14
11
11
11
11
15
13
13
11
8
11
13
13
11
8
9
10
9
16
8
16
8
9
10
9
12
8
13
11
8
13
12
12
9
9
8
12
10
6
8
12
6
9
8
6
9
14
5
10
8
11
7
9
14
10
6
8
13
12
12
10
5
8
4
13
12
8
8
14
7
11
10
12
6
9
11
13
8
12
9
11
6
12
9
9
9
14
11
11
9
12
10
7
9
9
13
11
6
11
11
13
11
8
7
9
8
10
12
6
18
11
6
11
17
14
10
10
8
9
7
8
11
11
9
4
16
8
10
10
19
7
9
9
11
9
16
7
11
18
7
12
11
9
10
9
16
8
12
7
8
9
11
15
11
6
13
13
12
13
13
12
8
10
15
7
10
14
6
9
10
Section 2 – Descriptive Statistics.
For each variable, find the mean, range, variance, standard
deviation, and five- number summary. Display these numbers in a
format that is easy to understand. (Do not simply copy/paste
screencaps of the StatCrunch output!)
Construct a regular boxplot for each variable. For each boxplot,
include a brief statement containing an assessment of whether the
data appear to be symmetric, left-skewed, right-skewed, or
uniform.
For each variable, construct a modified boxplot and use it to
identify potential outliers. If any exist, list them by value; if
none exist, say so.