Using the Age column, take a Simple Random Sample (SRS) of n=30. Show the sample

| August 31, 2017

Question
Using the Age column, take a Simple Random Sample (SRS) of n=30. Show the sample and explain how you took the sample.
Use StatCrunch sampling, Excel Analysis Toolpak sampling, or Excel function Randbetween (using row numbers)
Taking the first 30, or every 5th row, or other such schemes are NOT random.
ID Age Gender Height Weight Ideal Weight
1 17 F 68 120 125
2 19 F 63 142 130
3 20 F 62.5 135 120
4 20 M 71 165 165
5 20 F 60 123 115
6 20 F 62 130 115
7 21 F 65 125 110
8 21 F 67 130 125
9 22 F 65 132 125
10 22 F 65 132 125
11 22 M 71 215 195
12 22 F 64 127 117
13 22 F 65 132 125
14 22 F 78 150 175
15 23 M 66 164 155
16 23 F 68 143 143
17 24 M 75 201 200
18 24 F 64 235 140
19 24 F 65 147 140
20 24 F 60 150 120
21 24 M 67 165 160
22 25 F 64 148 138
23 25 M 73 170 180
24 25 F 63 225 175
25 25 F 71 165 150
26 25 M 70 160 175
27 25 M 73 235 180
28 25 M 70 150 175
29 25 M 72 220 200
30 25 F 64 198 145
31 26 F 66 160 150
32 26 M 70 260 180
33 26 F 68 125 125
34 26 M 72 220 205
35 26 F 66 150 125
36 26 M 73 190 180
37 26 M 68 170 160
38 26 F 63 140 128
39 27 M 71 155 165
40 27 M 72 210 200
41 27 M 76 200 215
42 27 M 72 215 195
43 27 F 56 130 105
44 27 F 62 181.8 125
45 28 F 63 116 110
46 28 F 67 165 150
47 28 F 67 165 150
48 28 M 71 260 200
49 28 F 61 135 115
50 28 F 62 130 115
51 29 M 75 235 180
52 29 M 73.5 301 205
53 29 M 70 210 200
54 29 M 72 248 220
55 30 M 73 185 180
56 30 M 73 185 180
57 30 M 73 205 180
58 30 F 68 200 175
59 30 M 71 140 175
60 30 F 60 112 115
61 30 F 60 114 115
62 31 F 63 128 120
63 31 M 72 165 175
64 31 F 64 120 110
65 31 M 74 227 220
66 31 M 68 200 170
67 31 F 62 120 115
68 31 M 71 412 250
69 31 F 61 123 135
70 32 M 72 230 200
71 32 M 75 260 230
72 33 F 64 250 150
73 33 F 67 134 125
74 33 F 67 134 125
75 33 F 64 163 130
76 33 M 70 190 175
77 33 F 67 191 150
78 33 F 69 310 150
79 33 F 67 177 160
80 33 F 67 210 180
81 34 F 68 212 140
82 34 M 73 185 165
83 35 M 73 190 200
84 35 F 63 161 135
85 35 F 64 235 160
86 35 M 76 240 205
87 36 M 69 204 185
88 36 F 65 144 128
89 36 M 74 215 205
90 37 M 71 226 190
91 37 F 69 230 175
92 37 F 69 200 165
93 37 M 71 223 190
94 37 M 74 160 185
95 37 M 69 150 150
96 37 F 63 124 118
97 38 F 65.5 133 125
98 38 F 68 155 130
99 38 F 62 125 120
100 38 F 70 185 175
101 38 F 69 190 170
102 38 M 70 220 185
103 38 F 69 255 155
104 38 M 67 185 165
105 39 M 73 260 220
106 39 F 64 165 140
107 40 M 71 190 175
108 40 F 64 145 120
109 41 M 72 220 190
110 41 F 64 116 116
111 41 M 76 245 220
112 42 F 66 135 130
113 42 F 63 180 135
114 43 M 74 255 190
115 43 F 63 160 125
116 43 F 70 180 150
117 44 M 70 450 180
118 44 M 67 187 160
119 45 F 68 148 140
120 45 F 63 160 130
121 45 F 66 227 155
122 45 F 62 125 121
123 45 F 72 160 140
124 45 M 70 230 220
125 45 F 67 145 132
126 46 M 73 195 180
127 46 M 73 195 180
128 46 M 73 195 180
129 46 F 68 172 140
130 46 F 62 121 115
131 46 F 60 126 120
132 46 M 73 250 225
133 46 F 62 135 130
134 47 F 67 154 150
135 47 F 62 130 115
136 47 M 73 220 200
137 48 F 63 115 113
138 49 M 75 285 240
139 49 M 69 188 185
140 50 M 66 190 180
141 50 F 63 115 110
142 51 M 66 215 195
143 51 M 75 225 225
144 51 F 62 150 120
145 52 F 62 130 120
146 55 F 66 180 150
147 55 M 68 290 175
148 57 M 74 277 240
149 58 F 62 125 115
150 66 F 66 150 140

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