CIND 123 - Data Analytics: Basic Methods
Shichao Harry Hou
Assignment 2 (10%)
[shichao hou]]
[Insert course section & student number]
Instructions
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Sample Question and Solution
Use seq() to create the vector [3,5, … ,29).
seq(3, 30, 2)## [1] 3 5 7 9 11 13 15 17 19 21 23 25 27 29seq(3, 29, 2)## [1] 3 5 7 9 11 13 15 17 19 21 23 25 27 29Question 1 (40 points)
The Titanic Passenger Survival Data Set provides information on the
fate of passengers on the fatal maiden voyage of the ocean liner
“Titanic.” The dataset is available from the Department of Biostatistics
at the Vanderbilt University School of Medicine (https://biostat.app.vumc.org/wiki/pub/Main/DataSets/titanic3.csv)in
several formats. store the Titanic Data Set titanic_train
using the following commands.
#install.packages("titanic")
library(titanic)
titanicDataset <- read.csv(file = "https://biostat.app.vumc.org/wiki/pub/Main/DataSets/titanic3.csv", stringsAsFactors = F)
summary(titanicDataset)## pclass survived name sex
## Min. :1.000 Min. :0.000 Length:1309 Length:1309
## 1st Qu.:2.000 1st Qu.:0.000 Class :character Class :character
## Median :3.000 Median :0.000 Mode :character Mode :character
## Mean :2.295 Mean :0.382
## 3rd Qu.:3.000 3rd Qu.:1.000
## Max. :3.000 Max. :1.000
##
## age sibsp parch ticket
## Min. : 0.17 Min. :0.0000 Min. :0.000 Length:1309
## 1st Qu.:21.00 1st Qu.:0.0000 1st Qu.:0.000 Class :character
## Median :28.00 Median :0.0000 Median :0.000 Mode :character
## Mean :29.88 Mean :0.4989 Mean :0.385
## 3rd Qu.:39.00 3rd Qu.:1.0000 3rd Qu.:0.000
## Max. :80.00 Max. :8.0000 Max. :9.000
## NA's :263
## fare cabin embarked boat
## Min. : 0.000 Length:1309 Length:1309 Length:1309
## 1st Qu.: 7.896 Class :character Class :character Class :character
## Median : 14.454 Mode :character Mode :character Mode :character
## Mean : 33.295
## 3rd Qu.: 31.275
## Max. :512.329
## NA's :1
## body home.dest
## Min. : 1.0 Length:1309
## 1st Qu.: 72.0 Class :character
## Median :155.0 Mode :character
## Mean :160.8
## 3rd Qu.:256.0
## Max. :328.0
## NA's :1188library(rlang)
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union #.libPaths()
#oldpkgs <- installed.packages(lib.loc = "Frameworks/R.framework/Versions/3.6/Resources/library")
#install.packages(oldpkgs[, 1], lib = "Frameworks/R.framework/Versions/4.0/Resources/library")- Extract and show the columns
sex,age,fare,cabinandsurvivedinto a new data frame of the name ‘titanicSubset’. (5 points)
#INSERT YOUR ANSWER HERE
titanicSubset <- titanicDataset[,c('sex','age','fare' ,'cabin','survived')]
titanicSubset## sex age fare cabin survived
## 1 female 29.00 211.3375 B5 1
## 2 male 0.92 151.5500 C22 C26 1
## 3 female 2.00 151.5500 C22 C26 0
## 4 male 30.00 151.5500 C22 C26 0
## 5 female 25.00 151.5500 C22 C26 0
## 6 male 48.00 26.5500 E12 1
## 7 female 63.00 77.9583 D7 1
## 8 male 39.00 0.0000 A36 0
## 9 female 53.00 51.4792 C101 1
## 10 male 71.00 49.5042 0
## 11 male 47.00 227.5250 C62 C64 0
## 12 female 18.00 227.5250 C62 C64 1
## 13 female 24.00 69.3000 B35 1
## 14 female 26.00 78.8500 1
## 15 male 80.00 30.0000 A23 1
## 16 male NA 25.9250 0
## 17 male 24.00 247.5208 B58 B60 0
## 18 female 50.00 247.5208 B58 B60 1
## 19 female 32.00 76.2917 D15 1
## 20 male 36.00 75.2417 C6 0
## 21 male 37.00 52.5542 D35 1
## 22 female 47.00 52.5542 D35 1
## 23 male 26.00 30.0000 C148 1
## 24 female 42.00 227.5250 1
## 25 female 29.00 221.7792 C97 1
## 26 male 25.00 26.0000 0
## 27 male 25.00 91.0792 B49 1
## 28 female 19.00 91.0792 B49 1
## 29 female 35.00 135.6333 C99 1
## 30 male 28.00 26.5500 C52 1
## 31 male 45.00 35.5000 T 0
## 32 male 40.00 31.0000 A31 1
## 33 female 30.00 164.8667 C7 1
## 34 female 58.00 26.5500 C103 1
## 35 male 42.00 26.5500 D22 0
## 36 female 45.00 262.3750 1
## 37 female 22.00 55.0000 E33 1
## 38 male NA 26.5500 1
## 39 male 41.00 30.5000 A21 0
## 40 male 48.00 50.4958 B10 0
## 41 male NA 39.6000 0
## 42 female 44.00 27.7208 B4 1
## 43 female 59.00 51.4792 C101 1
## 44 female 60.00 76.2917 D15 1
## 45 female 41.00 134.5000 E40 1
## 46 male 45.00 26.5500 B38 0
## 47 male NA 31.0000 0
## 48 male 42.00 26.2875 E24 1
## 49 female 53.00 27.4458 1
## 50 male 36.00 512.3292 B51 B53 B55 1
## 51 female 58.00 512.3292 B51 B53 B55 1
## 52 male 33.00 5.0000 B51 B53 B55 0
## 53 male 28.00 47.1000 0
## 54 male 17.00 47.1000 0
## 55 male 11.00 120.0000 B96 B98 1
## 56 female 14.00 120.0000 B96 B98 1
## 57 male 36.00 120.0000 B96 B98 1
## 58 female 36.00 120.0000 B96 B98 1
## 59 male 49.00 26.0000 0
## 60 female NA 27.7208 1
## 61 male 36.00 78.8500 C46 0
## 62 female 76.00 78.8500 C46 1
## 63 male 46.00 61.1750 E31 0
## 64 female 47.00 61.1750 E31 1
## 65 male 27.00 53.1000 E8 1
## 66 female 33.00 53.1000 E8 1
## 67 female 36.00 262.3750 B61 1
## 68 female 30.00 86.5000 B77 1
## 69 male 45.00 29.7000 A9 1
## 70 female NA 55.0000 E33 1
## 71 male NA 0.0000 0
## 72 male 27.00 136.7792 C89 0
## 73 female 26.00 136.7792 C89 1
## 74 female 22.00 151.5500 1
## 75 male NA 52.0000 A14 0
## 76 male 47.00 25.5875 E58 0
## 77 female 39.00 83.1583 E49 1
## 78 male 37.00 83.1583 E52 0
## 79 female 64.00 83.1583 E45 1
## 80 female 55.00 25.7000 C101 1
## 81 male NA 26.5500 0
## 82 male 70.00 71.0000 B22 0
## 83 female 36.00 71.0000 B22 1
## 84 female 64.00 26.5500 B26 1
## 85 male 39.00 71.2833 C85 0
## 86 female 38.00 71.2833 C85 1
## 87 male 51.00 26.5500 E17 1
## 88 male 27.00 30.5000 1
## 89 female 33.00 151.5500 1
## 90 male 31.00 52.0000 B71 0
## 91 female 27.00 52.0000 B71 1
## 92 male 31.00 57.0000 B20 1
## 93 female 17.00 57.0000 B20 1
## 94 male 53.00 81.8583 A34 1
## 95 male 4.00 81.8583 A34 1
## 96 female 54.00 81.8583 A34 1
## 97 male 50.00 106.4250 C86 0
## 98 female 27.00 247.5208 B58 B60 1
## 99 female 48.00 106.4250 C86 1
## 100 female 48.00 39.6000 A16 1
## 101 male 49.00 56.9292 A20 1
## 102 male 39.00 29.7000 A18 0
## 103 female 23.00 83.1583 C54 1
## 104 female 38.00 227.5250 C45 1
## 105 female 54.00 78.2667 D20 1
## 106 female 36.00 31.6792 A29 0
## 107 male NA 221.7792 C95 0
## 108 female NA 31.6833 1
## 109 female NA 110.8833 1
## 110 male 36.00 26.3875 E25 1
## 111 male 30.00 27.7500 C111 0
## 112 female 24.00 263.0000 C23 C25 C27 1
## 113 female 28.00 263.0000 C23 C25 C27 1
## 114 female 23.00 263.0000 C23 C25 C27 1
## 115 male 19.00 263.0000 C23 C25 C27 0
## 116 male 64.00 263.0000 C23 C25 C27 0
## 117 female 60.00 263.0000 C23 C25 C27 1
## 118 female 30.00 56.9292 E36 1
## 119 male NA 26.5500 D34 0
## 120 male 50.00 133.6500 1
## 121 male 43.00 27.7208 D40 1
## 122 female NA 133.6500 1
## 123 female 22.00 49.5000 B39 1
## 124 male 60.00 79.2000 B41 1
## 125 female 48.00 79.2000 B41 1
## 126 male NA 0.0000 B102 0
## 127 male 37.00 53.1000 C123 0
## 128 female 35.00 53.1000 C123 1
## 129 male 47.00 38.5000 E63 0
## 130 female 35.00 211.5000 C130 1
## 131 female 22.00 59.4000 1
## 132 female 45.00 59.4000 1
## 133 male 24.00 79.2000 B86 0
## 134 male 49.00 89.1042 C92 1
## 135 female NA 89.1042 C92 1
## 136 male 71.00 34.6542 A5 0
## 137 male 53.00 28.5000 C51 1
## 138 female 19.00 30.0000 B42 1
## 139 male 38.00 153.4625 C91 0
## 140 female 58.00 153.4625 C125 1
## 141 male 23.00 63.3583 D10 D12 1
## 142 female 45.00 63.3583 D10 D12 1
## 143 male 46.00 79.2000 B82 B84 0
## 144 male 25.00 55.4417 E50 1
## 145 female 25.00 55.4417 E50 1
## 146 male 48.00 76.7292 D33 1
## 147 female 49.00 76.7292 D33 1
## 148 male NA 42.4000 0
## 149 male 45.00 83.4750 C83 0
## 150 female 35.00 83.4750 C83 1
## 151 male 40.00 0.0000 B94 0
## 152 male 27.00 76.7292 D49 1
## 153 male NA 30.0000 D45 1
## 154 female 24.00 83.1583 C54 1
## 155 male 55.00 93.5000 B69 0
## 156 female 52.00 93.5000 B69 1
## 157 male 42.00 42.5000 B11 0
## 158 male NA 51.8625 E46 0
## 159 male 55.00 50.0000 C39 0
## 160 female 16.00 57.9792 B18 1
## 161 female 44.00 57.9792 B18 1
## 162 female 51.00 77.9583 D11 1
## 163 male 42.00 52.0000 0
## 164 female 35.00 52.0000 1
## 165 male 35.00 26.5500 1
## 166 male 38.00 90.0000 C93 1
## 167 male NA 30.6958 0
## 168 female 35.00 90.0000 C93 1
## 169 female 38.00 80.0000 B28 1
## 170 female 50.00 28.7125 C49 0
## 171 male 49.00 0.0000 B52 B54 B56 1
## 172 male 46.00 26.0000 0
## 173 male 50.00 26.0000 E60 0
## 174 male 32.50 211.5000 C132 0
## 175 male 58.00 29.7000 B37 0
## 176 male 41.00 51.8625 D21 0
## 177 female NA 51.8625 D21 1
## 178 male 42.00 52.5542 D19 1
## 179 female 45.00 52.5542 D19 1
## 180 male NA 26.5500 C124 0
## 181 female 39.00 211.3375 1
## 182 female 49.00 25.9292 D17 1
## 183 female 30.00 106.4250 1
## 184 male 35.00 512.3292 B101 1
## 185 male NA 27.7208 0
## 186 male 42.00 26.5500 0
## 187 female 55.00 27.7208 1
## 188 female 16.00 39.4000 D28 1
## 189 female 51.00 39.4000 D28 1
## 190 male 29.00 30.0000 D6 0
## 191 female 21.00 77.9583 D9 1
## 192 male 30.00 45.5000 0
## 193 female 58.00 146.5208 B80 1
## 194 female 15.00 211.3375 B5 1
## 195 male 30.00 26.0000 C106 0
## 196 female 16.00 86.5000 B79 1
## 197 male NA 29.7000 C47 1
## 198 male 19.00 53.1000 D30 0
## 199 female 18.00 53.1000 D30 1
## 200 female 24.00 49.5042 C90 1
## 201 male 46.00 75.2417 C6 0
## 202 male 54.00 51.8625 E46 0
## 203 male 36.00 26.2875 E25 1
## 204 male 28.00 82.1708 0
## 205 female NA 82.1708 1
## 206 male 65.00 26.5500 E38 0
## 207 male 44.00 90.0000 C78 0
## 208 female 33.00 90.0000 C78 1
## 209 female 37.00 90.0000 C78 1
## 210 male 30.00 57.7500 C78 1
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## 214 female 31.00 113.2750 D36 1
## 215 female 23.00 113.2750 D36 1
## 216 male 58.00 113.2750 D48 0
## 217 female 19.00 26.2833 D47 1
## 218 male 64.00 26.0000 0
## 219 female 39.00 108.9000 C105 1
## 220 male NA 25.7417 1
## 221 female 22.00 61.9792 B36 1
## 222 male 65.00 61.9792 B30 0
## 223 male 28.50 27.7208 D43 0
## 224 male NA 0.0000 0
## 225 male 45.50 28.5000 C124 0
## 226 male 23.00 93.5000 B24 0
## 227 male 29.00 66.6000 C2 0
## 228 female 22.00 66.6000 C2 1
## 229 male 18.00 108.9000 C65 0
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## 231 female 30.00 93.5000 B73 1
## 232 male 52.00 30.5000 C104 1
## 233 male 47.00 52.0000 C110 0
## 234 female 56.00 83.1583 C50 1
## 235 male 38.00 0.0000 0
## 236 male NA 39.6000 1
## 237 male 22.00 135.6333 0
## 238 male NA 227.5250 0
## 239 female 43.00 211.3375 B3 1
## 240 male 31.00 50.4958 A24 0
## 241 male 45.00 26.5500 1
## 242 male NA 50.0000 A32 0
## 243 female 33.00 27.7208 A11 1
## 244 male 46.00 79.2000 0
## 245 male 36.00 40.1250 A10 0
## 246 female 33.00 86.5000 B77 1
## 247 male 55.00 59.4000 0
## 248 female 54.00 59.4000 1
## 249 male 33.00 26.5500 0
## 250 male 13.00 262.3750 B57 B59 B63 B66 1
## 251 female 18.00 262.3750 B57 B59 B63 B66 1
## 252 female 21.00 262.3750 B57 B59 B63 B66 1
## 253 male 61.00 262.3750 B57 B59 B63 B66 0
## 254 female 48.00 262.3750 B57 B59 B63 B66 1
## 255 male NA 30.5000 C106 1
## 256 female 24.00 69.3000 B35 1
## 257 male NA 26.0000 1
## 258 female 35.00 57.7500 C28 1
## 259 female 30.00 31.0000 1
## 260 male 34.00 26.5500 1
## 261 female 40.00 153.4625 C125 1
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## 264 female 39.00 55.9000 E44 1
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## 266 male 28.00 35.5000 A6 1
## 267 male 56.00 26.5500 0
## 268 male 56.00 30.6958 A7 0
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## 271 female 18.00 60.0000 C31 1
## 272 male 24.00 82.2667 B45 1
## 273 female 23.00 82.2667 B45 1
## 274 male 6.00 134.5000 E34 1
## 275 male 45.00 134.5000 E34 1
## 276 female 40.00 134.5000 E34 1
## 277 male 57.00 146.5208 B78 0
## 278 female NA 146.5208 B78 1
## 279 male 32.00 30.5000 B50 1
## 280 male 62.00 26.5500 C87 0
## 281 male 54.00 55.4417 C116 1
## 282 female 43.00 55.4417 C116 1
## 283 female 52.00 78.2667 D20 1
## 284 male NA 27.7208 0
## 285 female 62.00 80.0000 B28 1
## 286 male 67.00 221.7792 C55 C57 0
## 287 female 63.00 221.7792 C55 C57 0
## 288 male 61.00 32.3208 D50 0
## 289 female 48.00 25.9292 D17 1
## 290 female 18.00 79.6500 E68 1
## 291 male 52.00 79.6500 E67 0
## 292 female 39.00 79.6500 E67 1
## 293 male 48.00 52.0000 C126 1
## 294 female NA 52.0000 C126 1
## 295 male 49.00 110.8833 C68 0
## 296 male 17.00 110.8833 C70 1
## 297 female 39.00 110.8833 C68 1
## 298 female NA 79.2000 1
## 299 male 31.00 28.5375 C53 1
## 300 male 40.00 27.7208 0
## 301 male 61.00 33.5000 B19 0
## 302 male 47.00 34.0208 D46 0
## 303 female 35.00 512.3292 1
## 304 male 64.00 75.2500 D37 0
## 305 female 60.00 75.2500 D37 1
## 306 male 60.00 26.5500 0
## 307 male 54.00 77.2875 D26 0
## 308 male 21.00 77.2875 D26 0
## 309 female 55.00 135.6333 C32 1
## 310 female 31.00 164.8667 C7 1
## 311 male 57.00 164.8667 0
## 312 female 45.00 164.8667 1
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## 315 female 50.00 211.5000 C80 1
## 316 female 21.00 26.5500 1
## 317 male 51.00 61.3792 0
## 318 male 21.00 61.3792 1
## 319 male NA 35.0000 C128 0
## 320 female 31.00 134.5000 E39 E41 1
## 321 male NA 35.5000 C52 1
## 322 male 62.00 26.5500 0
## 323 female 36.00 135.6333 C32 1
## 324 male 30.00 24.0000 0
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## 330 female 36.00 26.0000 1
## 331 male 57.00 13.0000 0
## 332 male 18.00 11.5000 0
## 333 male 23.00 10.5000 0
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## 339 male 28.00 26.0000 0
## 340 male 1.00 39.0000 F4 1
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## 465 male 32.00 10.5000 0
## 466 female 23.00 13.7917 D 1
## 467 male 34.00 26.0000 0
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## 1139 male NA 7.2500 0
## 1140 male 38.00 7.8958 0
## 1141 male 21.00 8.0500 0
## 1142 male 10.00 29.1250 0
## 1143 male 4.00 29.1250 0
## 1144 male 7.00 29.1250 0
## 1145 male 2.00 29.1250 0
## 1146 male 8.00 29.1250 0
## 1147 female 39.00 29.1250 0
## 1148 female 22.00 39.6875 0
## 1149 male 35.00 7.1250 0
## 1150 female NA 7.7208 1
## 1151 male NA 14.5000 0
## 1152 female NA 14.5000 0
## 1153 male 50.00 14.5000 0
## 1154 female 47.00 14.5000 0
## 1155 male NA 8.0500 0
## 1156 male NA 7.7750 0
## 1157 female 2.00 20.2125 0
## 1158 male 18.00 20.2125 0
## 1159 female 41.00 20.2125 0
## 1160 female NA 8.0500 1
## 1161 male 50.00 8.0500 0
## 1162 male 16.00 8.0500 0
## 1163 male NA 7.7500 1
## 1164 male NA 24.1500 0
## 1165 male NA 7.2292 0
## 1166 male 25.00 7.2250 0
## 1167 male NA 7.2250 0
## 1168 male NA 7.7292 0
## 1169 male NA 7.5750 0
## 1170 male 38.50 7.2500 0
## 1171 male NA 69.5500 0
## 1172 male 14.50 69.5500 0
## 1173 female NA 69.5500 0
## 1174 female NA 69.5500 0
## 1175 female NA 69.5500 0
## 1176 female NA 69.5500 0
## 1177 male NA 69.5500 0
## 1178 male NA 69.5500 0
## 1179 male NA 69.5500 0
## 1180 male NA 69.5500 0
## 1181 female NA 69.5500 0
## 1182 male 24.00 9.3250 0
## 1183 female 21.00 7.6500 1
## 1184 male 39.00 7.9250 0
## 1185 male NA 21.6792 0
## 1186 male NA 21.6792 0
## 1187 male NA 21.6792 0
## 1188 female 1.00 16.7000 G6 1
## 1189 female 24.00 16.7000 G6 1
## 1190 female 4.00 16.7000 G6 1
## 1191 male 25.00 9.5000 1
## 1192 male 20.00 8.0500 0
## 1193 male 24.50 8.0500 0
## 1194 male NA 7.7250 0
## 1195 male NA 7.8958 0
## 1196 male NA 7.7500 0
## 1197 male 29.00 9.5000 1
## 1198 male NA 15.1000 0
## 1199 female NA 7.7792 1
## 1200 male NA 8.0500 0
## 1201 male NA 8.0500 0
## 1202 male 22.00 7.2292 0
## 1203 male NA 8.0500 0
## 1204 male 40.00 7.8958 0
## 1205 male 21.00 7.9250 0
## 1206 female 18.00 7.4958 1
## 1207 male 4.00 27.9000 0
## 1208 male 10.00 27.9000 0
## 1209 female 9.00 27.9000 0
## 1210 female 2.00 27.9000 0
## 1211 male 40.00 27.9000 0
## 1212 female 45.00 27.9000 0
## 1213 male NA 7.8958 0
## 1214 male NA 8.0500 0
## 1215 male NA 8.6625 0
## 1216 male NA 7.7500 0
## 1217 female NA 7.7333 1
## 1218 male 19.00 7.6500 F G73 0
## 1219 male 30.00 8.0500 0
## 1220 male NA 8.0500 0
## 1221 male 32.00 8.0500 0
## 1222 male NA 7.8958 0
## 1223 male 33.00 8.6625 0
## 1224 female 23.00 7.5500 1
## 1225 male 21.00 8.0500 0
## 1226 male 60.50 NA 0
## 1227 male 19.00 7.8958 0
## 1228 female 22.00 9.8375 0
## 1229 male 31.00 7.9250 1
## 1230 male 27.00 8.6625 0
## 1231 female 2.00 10.4625 G6 0
## 1232 female 29.00 10.4625 G6 0
## 1233 male 16.00 8.0500 1
## 1234 male 44.00 7.9250 1
## 1235 male 25.00 7.0500 0
## 1236 male 74.00 7.7750 0
## 1237 male 14.00 9.2250 1
## 1238 male 24.00 7.7958 0
## 1239 male 25.00 7.7958 1
## 1240 male 34.00 8.0500 0
## 1241 male 0.42 8.5167 1
## 1242 male NA 6.4375 0
## 1243 male NA 6.4375 0
## 1244 male NA 7.2250 0
## 1245 female 16.00 8.5167 1
## 1246 male NA 8.0500 0
## 1247 male NA 16.1000 0
## 1248 female NA 16.1000 1
## 1249 male 32.00 7.9250 0
## 1250 male NA 7.7500 F38 0
## 1251 male NA 7.8958 0
## 1252 male 30.50 8.0500 0
## 1253 male 44.00 8.0500 0
## 1254 male NA 7.2292 0
## 1255 male 25.00 0.0000 1
## 1256 male NA 7.2292 0
## 1257 male 7.00 15.2458 1
## 1258 female 9.00 15.2458 1
## 1259 female 29.00 15.2458 1
## 1260 male 36.00 7.8958 0
## 1261 female 18.00 9.8417 1
## 1262 female 63.00 9.5875 1
## 1263 male NA 14.5000 0
## 1264 male 11.50 14.5000 0
## 1265 male 40.50 14.5000 0
## 1266 female 10.00 24.1500 0
## 1267 male 36.00 24.1500 0
## 1268 female 30.00 24.1500 0
## 1269 male NA 9.5000 0
## 1270 male 33.00 9.5000 0
## 1271 male 28.00 9.5000 0
## 1272 male 28.00 9.5000 0
## 1273 male 47.00 9.0000 0
## 1274 female 18.00 18.0000 0
## 1275 male 31.00 18.0000 0
## 1276 male 16.00 18.0000 0
## 1277 female 31.00 18.0000 0
## 1278 male 22.00 7.2250 1
## 1279 male 20.00 7.8542 0
## 1280 female 14.00 7.8542 0
## 1281 male 22.00 7.8958 0
## 1282 male 22.00 9.0000 0
## 1283 male NA 8.0500 0
## 1284 male NA 7.5500 0
## 1285 male NA 8.0500 0
## 1286 male 32.50 9.5000 0
## 1287 female 38.00 7.2292 1
## 1288 male 51.00 7.7500 0
## 1289 male 18.00 6.4958 0
## 1290 male 21.00 6.4958 0
## 1291 female 47.00 7.0000 1
## 1292 male NA 8.7125 0
## 1293 male NA 7.5500 0
## 1294 male NA 8.0500 0
## 1295 male 28.50 16.1000 0
## 1296 male 21.00 7.2500 0
## 1297 male 27.00 8.6625 0
## 1298 male NA 7.2500 0
## 1299 male 36.00 9.5000 0
## 1300 male 27.00 14.4542 0
## 1301 female 15.00 14.4542 1
## 1302 male 45.50 7.2250 0
## 1303 male NA 7.2250 0
## 1304 male NA 14.4583 0
## 1305 female 14.50 14.4542 0
## 1306 female NA 14.4542 0
## 1307 male 26.50 7.2250 0
## 1308 male 27.00 7.2250 0
## 1309 male 29.00 7.8750 0- Numerical data: Use the count() function from the
dplyrpackage to display the total number of passengers within each Ticket ClassPclass. (5 points)
#INSERT YOUR ANSWER HERE
#library(dplyr)
titanicDataset %>% count(pclass)## pclass n
## 1 1 323
## 2 2 277
## 3 3 709- Categorical data: Use count() and group_by() functions from the
dplyrpackage to calculate the number of passengers bysex. (5 points) HINT: use group_by() first then pipe the result to count() to calculate the number of passengers per sex.
#INSERT YOUR ANSWER HERE
#library(dplyr)
titanicDataset <- titanicDataset %>% group_by(sex)
count(titanicDataset,pclass)## # A tibble: 6 × 3
## # Groups: sex [2]
## sex pclass n
## <chr> <int> <int>
## 1 female 1 144
## 2 female 2 106
## 3 female 3 216
## 4 male 1 179
## 5 male 2 171
## 6 male 3 493- Use the aggregate() function to calculate the ‘survivalCount’ of
each
sexand calculate the survival rate of each sex. Then draw the conclusion on which sex has the higher survival rate. (5 points)
#INSERT YOUR ANSWER HERE
titanicDataset %>%group_by(sex)%>% count()## # A tibble: 2 × 2
## # Groups: sex [2]
## sex n
## <chr> <int>
## 1 female 466
## 2 male 843titanicSubset %>%group_by(survived)%>% count()## # A tibble: 2 × 2
## # Groups: survived [2]
## survived n
## <int> <int>
## 1 0 809
## 2 1 500#INSERT YOUR ANSWER HERE
aggregate(titanicSubset$survived, by = list(titanicSubset$sex),FUN = sum)## Group.1 x
## 1 female 339
## 2 male 161# female has higher survival rate- Using boxplot to display the distribution of age for each sex and infer which group is older between male and female. (5 points)
#INSERT YOUR ANSWER HERE
titanicDataset$sex <- as.numeric(titanicDataset$sex) ## Warning: NAs introduced by coerciontitanicDataset$age <- as.numeric(titanicDataset$age)
boxplot(titanicDataset$sex, titanicDataset$age)
#titanicDataset.boxplot(column='age', by='sex', grid=False)
#bp = titanicDataset.boxplot(column='age', by='sex', grid=False)
#for i in [1,2,3]:
#y = titanicDataset.age[titanic.sex==i].dropna()
#x = np.random.normal(i, 0.04, size=len(y))
#plot(x, y, 'r.', alpha=0.2)- Calculate the average age for male and female and describe if the calculation agrees with the box plot. (5 points)
#INSERT YOUR ANSWER HERE
#library(titanic)
#titanicDataset <- read.csv(file = "https://biostat.app.vumc.org/wiki/pub/Main/DataSets/titanic3.csv", stringsAsFactors = F)
#summary(titanicDataset)
#titanicDataset
#titanicSubset <- titanicDataset[,c('sex','age')]
#titanicSubset
aggregate(titanicSubset$survived, by = list(titanicSubset$sex),FUN = mean)## Group.1 x
## 1 female 0.7274678
## 2 male 0.1909846#it is matching with boxplot relatively- Use the ‘for’ loop and ‘if’ control statements to list the women’s names, age 34 or more that embarked from S (Southampton), on the Titanic. (10 points)
#INSERT YOUR ANSWER HERE
for (x in 1:(length(titanicDataset$sex))){
if (titanicDataset$age[x]>=34 & !
is.na(titanicDataset$age[x])){print(titanicDataset$name[x])}}## [1] "Anderson, Mr. Harry"
## [1] "Andrews, Miss. Kornelia Theodosia"
## [1] "Andrews, Mr. Thomas Jr"
## [1] "Appleton, Mrs. Edward Dale (Charlotte Lamson)"
## [1] "Artagaveytia, Mr. Ramon"
## [1] "Astor, Col. John Jacob"
## [1] "Barkworth, Mr. Algernon Henry Wilson"
## [1] "Baxter, Mrs. James (Helene DeLaudeniere Chaput)"
## [1] "Beattie, Mr. Thomson"
## [1] "Beckwith, Mr. Richard Leonard"
## [1] "Beckwith, Mrs. Richard Leonard (Sallie Monypeny)"
## [1] "Bidois, Miss. Rosalie"
## [1] "Bissette, Miss. Amelia"
## [1] "Blackwell, Mr. Stephen Weart"
## [1] "Blank, Mr. Henry"
## [1] "Bonnell, Miss. Elizabeth"
## [1] "Borebank, Mr. John James"
## [1] "Bowen, Miss. Grace Scott"
## [1] "Brady, Mr. John Bertram"
## [1] "Brandeis, Mr. Emil"
## [1] "Brown, Mrs. James Joseph (Margaret Tobin)"
## [1] "Brown, Mrs. John Murray (Caroline Lane Lamson)"
## [1] "Bucknell, Mrs. William Robert (Emma Eliza Ward)"
## [1] "Burns, Miss. Elizabeth Margaret"
## [1] "Butt, Major. Archibald Willingham"
## [1] "Calderhead, Mr. Edward Pennington"
## [1] "Candee, Mrs. Edward (Helen Churchill Hungerford)"
## [1] "Cardeza, Mr. Thomas Drake Martinez"
## [1] "Cardeza, Mrs. James Warburton Martinez (Charlotte Wardle Drake)"
## [1] "Carter, Mr. William Ernest"
## [1] "Carter, Mrs. William Ernest (Lucile Polk)"
## [1] "Case, Mr. Howard Brown"
## [1] "Cavendish, Mr. Tyrell William"
## [1] "Cavendish, Mrs. Tyrell William (Julia Florence Siegel)"
## [1] "Chaffee, Mr. Herbert Fuller"
## [1] "Chaffee, Mrs. Herbert Fuller (Carrie Constance Toogood)"
## [1] "Chaudanson, Miss. Victorine"
## [1] "Chevre, Mr. Paul Romaine"
## [1] "Colley, Mr. Edward Pomeroy"
## [1] "Compton, Miss. Sara Rebecca"
## [1] "Compton, Mr. Alexander Taylor Jr"
## [1] "Compton, Mrs. Alexander Taylor (Mary Eliza Ingersoll)"
## [1] "Cornell, Mrs. Robert Clifford (Malvina Helen Lamson)"
## [1] "Crosby, Capt. Edward Gifford"
## [1] "Crosby, Miss. Harriet R"
## [1] "Crosby, Mrs. Edward Gifford (Catherine Elizabeth Halstead)"
## [1] "Cumings, Mr. John Bradley"
## [1] "Cumings, Mrs. John Bradley (Florence Briggs Thayer)"
## [1] "Daly, Mr. Peter Denis "
## [1] "Dodge, Dr. Washington"
## [1] "Dodge, Mrs. Washington (Ruth Vidaver)"
## [1] "Douglas, Mr. Walter Donald"
## [1] "Douglas, Mrs. Walter Donald (Mahala Dutton)"
## [1] "Duff Gordon, Lady. (Lucille Christiana Sutherland) (\"Mrs Morgan\")"
## [1] "Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")"
## [1] "Dulles, Mr. William Crothers"
## [1] "Endres, Miss. Caroline Louise"
## [1] "Eustis, Miss. Elizabeth Mussey"
## [1] "Evans, Miss. Edith Corse"
## [1] "Flynn, Mr. John Irwin (\"Irving\")"
## [1] "Fortune, Mr. Mark"
## [1] "Fortune, Mrs. Mark (Mary McDougald)"
## [1] "Frauenthal, Dr. Henry William"
## [1] "Frauenthal, Mr. Isaac Gerald"
## [1] "Frolicher-Stehli, Mr. Maxmillian"
## [1] "Frolicher-Stehli, Mrs. Maxmillian (Margaretha Emerentia Stehli)"
## [1] "Futrelle, Mr. Jacques Heath"
## [1] "Futrelle, Mrs. Jacques Heath (Lily May Peel)"
## [1] "Gee, Mr. Arthur H"
## [1] "Geiger, Miss. Amalie"
## [1] "Gibson, Mrs. Leonard (Pauline C Boeson)"
## [1] "Goldenberg, Mr. Samuel L"
## [1] "Goldschmidt, Mr. George B"
## [1] "Gracie, Col. Archibald IV"
## [1] "Graham, Mr. George Edward"
## [1] "Graham, Mrs. William Thompson (Edith Junkins)"
## [1] "Greenfield, Mrs. Leo David (Blanche Strouse)"
## [1] "Guggenheim, Mr. Benjamin"
## [1] "Harper, Mr. Henry Sleeper"
## [1] "Harper, Mrs. Henry Sleeper (Myna Haxtun)"
## [1] "Harris, Mr. Henry Birkhardt"
## [1] "Harris, Mrs. Henry Birkhardt (Irene Wallach)"
## [1] "Harrison, Mr. William"
## [1] "Hays, Mr. Charles Melville"
## [1] "Hays, Mrs. Charles Melville (Clara Jennings Gregg)"
## [1] "Head, Mr. Christopher"
## [1] "Hipkins, Mr. William Edward"
## [1] "Hippach, Mrs. Louis Albert (Ida Sophia Fischer)"
## [1] "Hogeboom, Mrs. John C (Anna Andrews)"
## [1] "Holverson, Mr. Alexander Oskar"
## [1] "Holverson, Mrs. Alexander Oskar (Mary Aline Towner)"
## [1] "Homer, Mr. Harry (\"Mr E Haven\")"
## [1] "Hoyt, Mr. Frederick Maxfield"
## [1] "Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby)"
## [1] "Icard, Miss. Amelie"
## [1] "Isham, Miss. Ann Elizabeth"
## [1] "Ismay, Mr. Joseph Bruce"
## [1] "Jones, Mr. Charles Cresson"
## [1] "Julian, Mr. Henry Forbes"
## [1] "Kent, Mr. Edward Austin"
## [1] "Kenyon, Mr. Frederick R"
## [1] "Kimball, Mr. Edwin Nelson Jr"
## [1] "Kimball, Mrs. Edwin Nelson Jr (Gertrude Parsons)"
## [1] "Kreuchen, Miss. Emilie"
## [1] "Leader, Dr. Alice (Farnham)"
## [1] "Lesurer, Mr. Gustave J"
## [1] "Lindeberg-Lind, Mr. Erik Gustaf (\"Mr Edward Lingrey\")"
## [1] "Lindstrom, Mrs. Carl Johan (Sigrid Posse)"
## [1] "Lines, Mrs. Ernest H (Elizabeth Lindsey James)"
## [1] "Lurette, Miss. Elise"
## [1] "McCaffry, Mr. Thomas Francis"
## [1] "McCarthy, Mr. Timothy J"
## [1] "McGough, Mr. James Robert"
## [1] "Millet, Mr. Francis Davis"
## [1] "Minahan, Dr. William Edward"
## [1] "Minahan, Mrs. William Edward (Lillian E Thorpe)"
## [1] "Molson, Mr. Harry Markland"
## [1] "Moore, Mr. Clarence Bloomfield"
## [1] "Natsch, Mr. Charles H"
## [1] "Newell, Mr. Arthur Webster"
## [1] "Nicholson, Mr. Arthur Ernest"
## [1] "Oliva y Ocana, Dona. Fermina"
## [1] "Ostby, Mr. Engelhart Cornelius"
## [1] "Partner, Mr. Austen"
## [1] "Peuchen, Major. Arthur Godfrey"
## [1] "Porter, Mr. Walter Chamberlain"
## [1] "Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)"
## [1] "Reuchlin, Jonkheer. John George"
## [1] "Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)"
## [1] "Romaine, Mr. Charles Hallace (\"Mr C Rolmane\")"
## [1] "Rosenshine, Mr. George (\"Mr George Thorne\")"
## [1] "Ross, Mr. John Hugo"
## [1] "Rothschild, Mr. Martin"
## [1] "Rothschild, Mrs. Martin (Elizabeth L. Barrett)"
## [1] "Ryerson, Mr. Arthur Larned"
## [1] "Ryerson, Mrs. Arthur Larned (Emily Maria Borie)"
## [1] "Schabert, Mrs. Paul (Emma Mock)"
## [1] "Seward, Mr. Frederic Kimber"
## [1] "Shutes, Miss. Elizabeth W"
## [1] "Silverthorne, Mr. Spencer Victor"
## [1] "Silvey, Mr. William Baird"
## [1] "Silvey, Mrs. William Baird (Alice Munger)"
## [1] "Simonius-Blumer, Col. Oberst Alfons"
## [1] "Smart, Mr. John Montgomery"
## [1] "Smith, Mr. James Clinch"
## [1] "Spedden, Mr. Frederic Oakley"
## [1] "Spedden, Mrs. Frederic Oakley (Margaretta Corning Stone)"
## [1] "Spencer, Mr. William Augustus"
## [1] "Stead, Mr. William Thomas"
## [1] "Stengel, Mr. Charles Emil Henry"
## [1] "Stengel, Mrs. Charles Emil Henry (Annie May Morris)"
## [1] "Stephenson, Mrs. Walter Bertram (Martha Eustis)"
## [1] "Stone, Mrs. George Nelson (Martha Evelyn)"
## [1] "Straus, Mr. Isidor"
## [1] "Straus, Mrs. Isidor (Rosalie Ida Blun)"
## [1] "Sutton, Mr. Frederick"
## [1] "Swift, Mrs. Frederick Joel (Margaret Welles Barron)"
## [1] "Taussig, Mr. Emil"
## [1] "Taussig, Mrs. Emil (Tillie Mandelbaum)"
## [1] "Taylor, Mr. Elmer Zebley"
## [1] "Thayer, Mr. John Borland"
## [1] "Thayer, Mrs. John Borland (Marian Longstreth Morris)"
## [1] "Uruchurtu, Don. Manuel E"
## [1] "Van der hoef, Mr. Wyckoff"
## [1] "Walker, Mr. William Anderson"
## [1] "Ward, Miss. Anna"
## [1] "Warren, Mr. Frank Manley"
## [1] "Warren, Mrs. Frank Manley (Anna Sophia Atkinson)"
## [1] "Weir, Col. John"
## [1] "White, Mr. Percival Wayland"
## [1] "White, Mrs. John Stuart (Ella Holmes)"
## [1] "Wick, Mr. George Dennick"
## [1] "Wick, Mrs. George Dennick (Mary Hitchcock)"
## [1] "Widener, Mr. George Dunton"
## [1] "Widener, Mrs. George Dunton (Eleanor Elkins)"
## [1] "Williams, Mr. Charles Duane"
## [1] "Wright, Mr. George"
## [1] "Young, Miss. Marie Grice"
## [1] "Angle, Mr. William A"
## [1] "Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)"
## [1] "Ashby, Mr. John"
## [1] "Ball, Mrs. (Ada E Hall)"
## [1] "Bateman, Rev. Robert James"
## [1] "Becker, Mrs. Allen Oliver (Nellie E Baumgardner)"
## [1] "Beesley, Mr. Lawrence"
## [1] "Bowenur, Mr. Solomon"
## [1] "Brown, Mr. Thomas William Solomon"
## [1] "Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)"
## [1] "Buss, Miss. Kate"
## [1] "Byles, Rev. Thomas Roussel Davids"
## [1] "Bystrom, Mrs. (Karolina)"
## [1] "Cameron, Miss. Clear Annie"
## [1] "Carter, Mrs. Ernest Courtenay (Lilian Hughes)"
## [1] "Carter, Rev. Ernest Courtenay"
## [1] "Chapman, Mr. Charles Henry"
## [1] "Chapman, Mr. John Henry"
## [1] "Christy, Mrs. (Alice Frances)"
## [1] "Davies, Mrs. John Morgan (Elizabeth Agnes Mary White) "
## [1] "Doling, Mrs. John T (Ada Julia Bone)"
## [1] "Downton, Mr. William James"
## [1] "Drew, Mr. James Vivian"
## [1] "Drew, Mrs. James Vivian (Lulu Thorne Christian)"
## [1] "Faunthorpe, Mr. Harry"
## [1] "Fox, Mr. Stanley Hubert"
## [1] "Funk, Miss. Annie Clemmer"
## [1] "Fynney, Mr. Joseph J"
## [1] "Gale, Mr. Harry"
## [1] "Gale, Mr. Shadrach"
## [1] "Garside, Miss. Ethel"
## [1] "Gilbert, Mr. William"
## [1] "Gillespie, Mr. William Henry"
## [1] "Greenberg, Mr. Samuel"
## [1] "Harbeck, Mr. William H"
## [1] "Harris, Mr. George"
## [1] "Hart, Mr. Benjamin"
## [1] "Hart, Mrs. Benjamin (Esther Ada Bloomfield)"
## [1] "Herman, Mr. Samuel"
## [1] "Herman, Mrs. Samuel (Jane Laver)"
## [1] "Hewlett, Mrs. (Mary D Kingcome) "
## [1] "Hocking, Mr. Samuel James Metcalfe"
## [1] "Hocking, Mrs. Elizabeth (Eliza Needs)"
## [1] "Hodges, Mr. Henry Price"
## [1] "Hold, Mr. Stephen"
## [1] "Hosono, Mr. Masabumi"
## [1] "Howard, Mr. Benjamin"
## [1] "Howard, Mrs. Benjamin (Ellen Truelove Arman)"
## [1] "Jacobsohn, Mr. Sidney Samuel"
## [1] "Jarvis, Mr. John Denzil"
## [1] "Kantor, Mr. Sinai"
## [1] "Keane, Mr. Daniel"
## [1] "Kelly, Mrs. Florence \"Fannie\""
## [1] "Kirkland, Rev. Charles Leonard"
## [1] "Lemore, Mrs. (Amelia Milley)"
## [1] "Levy, Mr. Rene Jacques"
## [1] "Lingane, Mr. John"
## [1] "Louch, Mr. Charles Alexander"
## [1] "Louch, Mrs. Charles Alexander (Alice Adelaide Slow)"
## [1] "Mack, Mrs. (Mary)"
## [1] "Maybery, Mr. Frank Hubert"
## [1] "McKane, Mr. Peter David"
## [1] "Mellinger, Mrs. (Elizabeth Anne Maidment)"
## [1] "Meyer, Mr. August"
## [1] "Milling, Mr. Jacob Christian"
## [1] "Mitchell, Mr. Henry Michael"
## [1] "Moraweck, Dr. Ernest"
## [1] "Morley, Mr. Henry Samuel (\"Mr Henry Marshall\")"
## [1] "Myles, Mr. Thomas Francis"
## [1] "Navratil, Mr. Michel (\"Louis M Hoffman\")"
## [1] "Otter, Mr. Richard"
## [1] "Parrish, Mrs. (Lutie Davis)"
## [1] "Peruschitz, Rev. Joseph Maria"
## [1] "Phillips, Mr. Escott Robert"
## [1] "Ponesell, Mr. Martin"
## [1] "Reeves, Mr. David"
## [1] "Renouf, Mr. Peter Henry"
## [1] "Ridsdale, Miss. Lucy"
## [1] "Sjostedt, Mr. Ernst Adolf"
## [1] "Slemen, Mr. Richard James"
## [1] "Smith, Miss. Marion Elsie"
## [1] "Stanton, Mr. Samuel Ward"
## [1] "Toomey, Miss. Ellen"
## [1] "Veal, Mr. James"
## [1] "Watt, Mrs. James (Elizabeth \"Bessie\" Inglis Milne)"
## [1] "West, Mr. Edwy Arthur"
## [1] "Wheadon, Mr. Edward H"
## [1] "Abbing, Mr. Anthony"
## [1] "Abbott, Mrs. Stanton (Rosa Hunt)"
## [1] "Ahlin, Mrs. Johan (Johanna Persdotter Larsson)"
## [1] "Allen, Mr. William Henry"
## [1] "Andersson, Miss. Ida Augusta Margareta"
## [1] "Andersson, Mr. Anders Johan"
## [1] "Andersson, Mrs. Anders Johan (Alfrida Konstantia Brogren)"
## [1] "Asim, Mr. Adola"
## [1] "Asplund, Mr. Carl Oscar Vilhelm Gustafsson"
## [1] "Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)"
## [1] "Assaf Khalil, Mrs. Mariana (\"Miriam\")"
## [1] "Badt, Mr. Mohamed"
## [1] "Barbara, Mrs. (Catherine David)"
## [1] "Bourke, Mr. John"
## [1] "Brocklebank, Mr. William Alfred"
## [1] "Cacic, Mr. Luka"
## [1] "Carr, Miss. Jeannie"
## [1] "Coleff, Mr. Peju"
## [1] "Connors, Mr. Patrick"
## [1] "Cook, Mr. Jacob"
## [1] "Cor, Mr. Bartol"
## [1] "Coutts, Mrs. William (Winnie \"Minnie\" Treanor)"
## [1] "Coxon, Mr. Daniel"
## [1] "Cribb, Mr. John Hatfield"
## [1] "Dahl, Mr. Karl Edwart"
## [1] "Danbom, Mr. Ernst Gilbert"
## [1] "de Messemaeker, Mr. Guillaume Joseph"
## [1] "de Messemaeker, Mrs. Guillaume Joseph (Emma)"
## [1] "Dennis, Mr. William"
## [1] "Dimic, Mr. Jovan"
## [1] "Dintcheff, Mr. Valtcho"
## [1] "Duane, Mr. Frank"
## [1] "Ekstrom, Mr. Johan"
## [1] "Elias, Mr. Joseph"
## [1] "Elsbury, Mr. William James"
## [1] "Everett, Mr. Thomas James"
## [1] "Farrell, Mr. James"
## [1] "Ford, Mrs. Edward (Margaret Ann Watson)"
## [1] "Goldsmith, Mr. Nathan"
## [1] "Goncalves, Mr. Manuel Estanslas"
## [1] "Goodwin, Mr. Charles Frederick"
## [1] "Goodwin, Mrs. Frederick (Augusta Tyler)"
## [1] "Green, Mr. George Henry"
## [1] "Gustafsson, Mr. Anders Vilhelm"
## [1] "Hansen, Mr. Claus Peter"
## [1] "Hansen, Mrs. Claus Peter (Jennie L Howard)"
## [1] "Holm, Mr. John Fredrik Alexander"
## [1] "Humblen, Mr. Adolf Mathias Nicolai Olsen"
## [1] "Jensen, Mr. Niels Peder"
## [1] "Johanson, Mr. Jakob Alfred"
## [1] "Johnson, Mr. Alfred"
## [1] "Karun, Mr. Franz"
## [1] "Kelly, Mr. James"
## [1] "Kelly, Mr. James"
## [1] "Klasen, Mrs. (Hulda Kristina Eugenia Lofqvist)"
## [1] "Laitinen, Miss. Kristina Sofia"
## [1] "Lemberopolous, Mr. Peter L"
## [1] "Leonard, Mr. Lionel"
## [1] "Lester, Mr. James"
## [1] "Lindblom, Miss. Augusta Charlotta"
## [1] "Lindell, Mr. Edvard Bengtsson"
## [1] "Lundahl, Mr. Johan Svensson"
## [1] "Markoff, Mr. Marin"
## [1] "McGowan, Miss. Katherine"
## [1] "Meo, Mr. Alfonzo"
## [1] "Morley, Mr. William"
## [1] "Nirva, Mr. Iisakki Antino Aijo"
## [1] "Niskanen, Mr. Juha"
## [1] "Nysveen, Mr. Johan Hansen"
## [1] "Olsen, Mr. Karl Siegwart Andreas"
## [1] "Panula, Mrs. Juha (Maria Emilia Ojala)"
## [1] "Rekic, Mr. Tido"
## [1] "Rice, Mrs. William (Margaret Norton)"
## [1] "Rintamaki, Mr. Matti"
## [1] "Robins, Mr. Alexander A"
## [1] "Robins, Mrs. Alexander A (Grace Charity Laury)"
## [1] "Rosblom, Mrs. Viktor (Helena Wilhelmina)"
## [1] "Rouse, Mr. Richard Henry"
## [1] "Saether, Mr. Simon Sivertsen"
## [1] "Salonen, Mr. Johan Werner"
## [1] "Sivic, Mr. Husein"
## [1] "Skoog, Mr. Wilhelm"
## [1] "Skoog, Mrs. William (Anna Bernhardina Karlsson)"
## [1] "Storey, Mr. Thomas"
## [1] "Sundman, Mr. Johan Julian"
## [1] "Svensson, Mr. Johan"
## [1] "Theobald, Mr. Thomas Leonard"
## [1] "Torber, Mr. Ernst William"
## [1] "Turcin, Mr. Stjepan"
## [1] "Turkula, Mrs. (Hedwig)"
## [1] "van Billiard, Mr. Austin Blyler"
## [1] "Van Impe, Mr. Jean Baptiste"
## [1] "Vander Cruyssen, Mr. Victor"
## [1] "Whabee, Mrs. George Joseph (Shawneene Abi-Saab)"
## [1] "Widegren, Mr. Carl/Charles Peter"
## [1] "Wilkes, Mrs. James (Ellen Needs)"
## [1] "Wittevrongel, Mr. Camille"
## [1] "Youseff, Mr. Gerious"Question 2 (15 points)
In a shipment of 20 engines, history shows that the probability of any one engine proving unsatisfactory is 0.1
- What will be the probability that all 20 engines are satisfactory? (5 points)
#INSERT YOUR ANSWER HERE
dbinom(x=20,size =20, prob= 0.9)## [1] 0.1215767- Use the Binomial approximation to calculate the probability that more than 10 engines are defective? (5 points)
#INSERT YOUR ANSWER HERE
dbinom(x=10, size =20, prob=0.1)## [1] 6.442043e-06- Use the binomial approximation to calculate the probability that at most three engines are defective? (5 points)
#INSERT YOUR ANSWER HERE
dbinom(3,20, 0.1)## [1] 0.1901199Question 3 (25 points)
On average, John goes to his parents’ place twice a week for visits.
- What will be the probabilities if John decides not to visit at all and then does 1, 2, 3, 4 and 5 visits to his parents in the subsequent weeks?(5 points)
#INSERT YOUR ANSWER HERE
dbinom(x=0,size=6,prob = 1/3)*dbinom(x=5, size=6,prob=1/3)## [1] 0.001445127- Find the probability that John goes to his parents’ place 3 times or less in a week? (5 points)
#INSERT YOUR ANSWER HERE
sum(dbinom(x = 0:4, size =6,prob = 1/3))## [1] 0.9821674- Compare the similarity between Binomial and Poisson distribution. (15 points @ 5 point each)
- Create 100,000 samples for a Binomial random variable using parameters described in Question 2
- Create 100,000 samples for a Poisson random variable using parameters described in Question 3
- then illustrate on how well the Poisson probability distribution approximates the Binomial probability distribution. Please provide your result by visualizing through a comparative histogram. HINT: use multhist() from the ‘plotrix’ package. Please install if plotrix package is not in your R environment.
#INSERT YOUR ANSWER HERE
binom_sample <- rbinom(100000,20,0.1)
hist(binom_sample)
#INSERT YOUR ANSWER HERE
poisson_sample <- rpois(100000,lambda=2)
hist(poisson_sample)
#install.packages("plotrix")library(plotrix)
multhist(list(poisson_sample,binom_sample))
Question 4 (20 points)
Given the following conditions of a normal random variable having mean = 16 and variance = 9, please write the R codes to find the probabilities and their values when,
- lies between 14.4 and 20.3 (inclusive) (5 points)
#INSERT YOUR ANSWER HERE
pnorm(20.3, 16, sd=3)-pnorm(14.4,16,sd=3)## [1] 0.6272173- is greater than 21.8 (5 points)
#INSERT YOUR ANSWER HERE
1-pnorm(21.8,16,sd=3)## [1] 0.02659757- is less than or equal to 10.5 (5 points)
#INSERT YOUR ANSWER HERE
pnorm(10.5,16, sd=3)## [1] 0.03337651- is less than 13 or greater than 19 (5 points)
#INSERT YOUR ANSWER HERE
pnorm(13,16,sd=3)+ 1-pnorm(19,16,sd=3)## [1] 0.3173105END of Assignment #2.