a) The formula of mean is given by-
Here for these sample mean = 374.63 seconds.
For sample median () we
have to first arrange the data in ascending order. Here total
sample observations is 30.
Therefore, N=30. So the median is (N+1)/2, (30+1)/2 = 15.5 Therefore taking the mean of 15 and 16 position, we get median as 380 secs. Q2=380 secs.
b) In these data the highest value is 471 secs. So, sample median is not affected when the data is arranged in ascending (or descending) order. Hence, if we increase 471 secs to a large amount, sample median will not be changed. It will be 380 secs.
If 471 secs be decreased then we have to notice about the position. Sample median will remain same(380 secs) if the value 471 secs be decrease up to 380 secs. Rather it will get change.
c) Quartile divides the data into 4 equal parts.First quartile is given by Q1 = (N+1)/4 th position and third quartile is given by Q3 = (3N+3)/4 th position.
Here, Q1 = 347.5 secs and Q3 = 397 secs Inter quartile range (IQR) = Q3 - Q1 = (397 - 347.5) secs = 49.5 secs
d or e) In order to be an outlier, the data value must be: larger than Q3 by at least 1.5 times the interquartile range (IQR), or smaller than Q1 by at least 1.5 times the IQR Therefore, 1.5 times IQR = 1.5*49.5 = 74.25. Q1 - 74.25 = 273.25 secs. Hence, the minimum in the dataset 202 seconds is the outlier. There is no outlier in the upper part as (Q3 + 74.25) = 471.25 secs. No data is above 471.25 secs.
f) The box plot is given by-
g)
ng your paper. 1. (Ch. 1) A sample of 30 high school students took part in...
A sample of 26 offshore oil workers took part in a simu- lated escape exercise, resulting in the accompanying data on time (sec) to complete the escape "Oxygen Consumption and Ventilation During Escape from an Offshore Platform," Ergonomics, 1997: 281-292): 36. 389 356 359 363 375 424 325 394 402 373 373 370 364 366 364 325 339 393 392 369 374 359 356 403 334 397 a. Construct a stem-and-leaf display of the data. How does it suggest that...
A sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) to complete the escape. 389 356 359 363 375 425 325 394 403 373 374 371 364 366 364 325 339 394 393 369 375 359 356 404 334 398 A normal probability plot of the n = 26 observations on escape time given above shows a substantial linear pattern; the sample mean and sample standard deviation are...
A sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) complete the escape: 382 352 354 360 378 420 323 395 404 372 376 372 363 367 366 326 339 394 391 368 377 358 354 407 331 399 (a) Construct a stem-and-leaf display of the data. (Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) Stems Leaves 32 33 34...
A sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) to complete the escape. 389 356 359 364 375 424 326 395 403 373 374 370 365 367 364 325 339 394 392 369 375 359 356 403 334 397 A normal probability plot of the n = 26 observations on escape time given above shows a substantial linear pattern; the sample mean and sample standard deviation are...
A sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) to complete the escape: 383 351 355 361 378 421 321 396 404 372 376 370 364 367 364 327 338395 393 369 378 357 353 406 333 399 (a) Construct a stem-and-leaf display of the data. (Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) Stems Leaves 32 35 37...
Wii
rate!!
A sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) to complete the escape: # Use R to create a stemplot # Copy the data and code below # Run the code in R time-c38, 351, 356, 362, 379, 425, 321, 397, 401, 372, 375, 371, 362, 368, 366, 326, 335, 393, 390, 368, 377, 35, 353, 406, 330, 397) stem(time, 1) # Note: If your...
Will rate!!
A sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) to complete the escape: # Use R to create a stemplot # Copy the data and code below #Run the code in R time-c 388, 351, 356, 362, 379, 425, 321, 397, 401, 372, 375, 371, 362, 368, 366, 326, 335, 393, 390, 368, 377, 357, 353, 406, 330, 397) stem(time, 1) # Note: If your...
A sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) to complete the escape 388 350 354 361 379 423 322 395 402 373 375 372 362 367 365 327 335 393 392 368 377 357 352 405 333 399 (a) Construct a stem-and-leaf display of the data. (Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) Stems Leaves 32 34...
A sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) to complete the escape. 389 356 359 363 376 425 325 395 403 374 374 370 365 367 364 326 339 394 392 369 375 359 356 403 334 398 A normal probability plot of the n 26 observations on escape time given above shows a substantial linear pattern; the sample mean and sample standard deviation are 371.15...
Patronage Data:
Fridays
Saturdays
Sundays
391
450
389
362
456
343
407
452
352
438
417
385
436
400
379
452
462
366
334
430
435
393
457
375
433
435
394
367
499
444
379
385
373
349
518
339
345
450
411
371
469
394
377
427
417
336
454
384
383
416
444
388
414
403
404
370
390
389
425
384
390
456
366
389
443
445
440
479
406
397
475
359
394
409
392...