1-1 The data presented below represents the bursting strength in pounds per square inch (psi) of 100 glass, 1-liter non-returnable one-liter soft drink bottles. Use Microsoft Excel® to compute descriptive statistics, construct a histogram, and examine whether or not the measurements 346 and 176 represent outliers or unusual measurements by calculating corresponding z-scores. 265 205 200 221 265 176 197 346 280 265 261 278 317 242 254 235 262 248 250 286 274 (0) 246 248 271 263 245 260 281 294 250 242 258 263 265 307 243 321 328 274 270 223 296 231 301 nigs 228 250 231 276 337 298 220 268 267 300 260 276 334 280 250 257 264 299 258 280 208 187 260 281 308 274 278 210 234 265 235 269 265 253 254 280 235 267 293 283 272 287 264 271 299 318 274 269 215 318 277 290 283 258 275 251
1-1 The data presented below represents the bursting strength in pounds per square inch (psi) of 100 glass, 1-liter non-returnable one-liter soft drink bottles. Use Microsoft Excel® to compute descriptive statistics, construct a histogram, and examine whether or not the measurements 346 and 176 represent outliers or unusual measurements by calculating corresponding z-scores. 265 205 200 221 265 176 197 346 280 265 261 278 317 242 254 235 262 248 250 286 274 (0) 246 248 271 263 245 260 281 294 250 242 258 263 265 307 243 321 328 274 270 223 296 231 301 nigs 228 250 231 276 337 298 220 268 267 300 260 276 334 280 250 257 264 299 258 280 208 187 260 281 308 274 278 210 234 265 235 269 265 253 254 280 235 267 293 283 272 287 264 271 299 318 274 269 215 318 277 290 283 258 275 251
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:1-1
- The data presented below represents the bursting strength in pounds per square inch (psi) of
100 glass, 1-liter non-returnable one-liter soft drink bottles. Use Microsoft Excel® to_
compute descriptive statistics, construct a histogram, and examine whether or not the
measurements 346 and 176 represent outliers or unusual measurements by calculating
corresponding z-scores.
346
221 265
261 278
248
197
280
265
200
265
205
286
317
242
254
235
176 262
250
242
260
281
246
248 271
(4)
263
307
274
250 265
258
321
294
328
263
245
274
301 337 298
243
270
228
223 296 231
231
267
281
265
220
276
300
250
260
276 334
280
250
268
260
234
299
215
257
299
258
308
264
280
208
187
274
278 210
235 269
265
253
254
280
318
264
267
283
235
272
287
274 269
318
271
293
277
290
283
258
275
251
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