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
Posted: Mon May 09, 2022 12:39 pm
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.
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
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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.