1. Explain the structure of the dataset. Find the mean and median for each of the variables. Describe the problem you found and explain your solution. 2. 3. Find the mode for x4. Explain how you get the value.
1. Explain the structure of the dataset. Find the mean and median for each of the variables. Describe the problem you found and explain your solution. 2. 3. Find the mode for x4. Explain how you get the value.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
x1 | x2 | x3 | x4 |
31 | 423 | 62 | 100 |
32 | 422 | 64 | 100 |
33 | 421 | NA | 150 |
34 | 420 | 68 | 150 |
35 | 419 | 70 | 150 |
36 | 418 | 72 | 150 |
37 | 417 | 74 | 150 |
38 | 416 | 76 | 150 |
39 | 415 | 78 | 150 |
40 | 414 | 80 | 200 |
41 | 413 | 82 | 200 |
42 | 412 | 84 | 200 |
43 | 411 | 86 | 200 |
44 | 410 | 88 | 200 |
45 | 409 | 90 | 200 |
46 | 408 | 92 | 250 |
47 | 407 | 94 | 250 |
48 | 406 | 96 | 250 |
49 | 405 | 98 | 250 |
50 | 404 | 100 | 250 |
51 | 403 | 102 | 250 |
52 | 402 | 104 | 250 |
53 | 401 | 106 | 250 |
54 | 400 | 108 | 250 |
55 | 399 | 110 | 250 |
56 | 398 | 112 | 250 |
57 | 397 | 114 | 250 |
58 | 396 | 116 | 250 |
59 | 395 | 118 | 250 |
60 | 394 | 120 | 250 |
61 | 393 | 122 | 250 |
62 | 392 | 124 | 250 |
63 | 391 | 126 | 250 |
64 | 390 | 128 | 250 |
65 | 389 | 130 | 250 |
66 | 388 | 132 | 300 |
67 | 387 | 134 | 300 |
68 | 386 | 136 | 300 |
69 | 385 | 138 | 300 |
70 | 384 | 140 | 300 |
71 | 383 | 142 | 300 |
72 | NA | 144 | 300 |
73 | 381 | 146 | 300 |
74 | 380 | 148 | 300 |
75 | 379 | 150 | 300 |
76 | 378 | 152 | 300 |
77 | 377 | 154 | 300 |
78 | 376 | 156 | 300 |
79 | 375 | 158 | 300 |
80 | NA | 160 | 300 |
81 | 373 | 162 | 300 |
82 | 372 | 164 | 300 |
83 | 371 | 166 | 300 |
NA | 370 | 168 | 300 |
85 | 369 | 170 | 300 |
86 | 368 | 172 | 300 |
87 | 367 | 174 | 300 |
88 | 366 | 176 | 300 |
89 | 365 | 178 | 300 |
90 | 364 | 180 | 300 |
91 | 363 | 182 | 300 |
92 | 362 | 184 | 300 |
93 | 361 | 186 | 300 |
94 | 360 | 188 | 300 |
95 | 359 | 190 | 300 |
96 | 358 | 192 | 300 |
97 | 357 | 194 | 300 |
98 | 356 | 196 | 300 |
99 | 355 | 198 | 300 |
100 | 354 | 200 | 300 |
101 | 353 | 202 | 300 |
102 | 352 | 204 | 300 |
103 | 351 | 206 | 300 |
104 | 350 | 208 | 300 |
105 | 349 | 210 | 300 |
106 | 348 | 212 | 300 |
107 | 347 | 214 | 300 |
108 | 346 | 216 | 300 |
109 | 345 | 218 | 300 |
110 | 344 | 220 | 300 |
111 | 343 | 222 | 300 |
112 | 342 | 224 | 300 |
113 | 341 | 226 | 300 |
114 | 340 | 228 | 300 |
115 | 339 | 230 | 300 |
116 | 338 | 232 | 300 |
117 | 337 | 234 | 300 |
118 | 336 | 236 | 300 |
119 | 335 | 238 | 300 |
120 | 334 | 240 | 300 |
121 | 333 | 242 | 300 |
122 | 332 | 244 | 300 |
123 | 331 | 246 | 300 |
124 | 330 | 248 | 300 |
125 | 329 | 250 | 300 |
126 | 328 | 252 | 300 |
127 | 327 | 254 | 300 |
128 | 326 | 256 | 300 |
129 | 325 | 258 | 300 |
130 | 324 | 260 | 300 |
131 | 323 | 262 | 300 |
132 | 322 | 264 | 300 |
133 | 321 | 266 | 300 |
134 | 320 | 268 | 300 |
135 | 319 | 270 | 300 |
136 | 318 | 272 | 300 |
137 | 317 | 274 | 300 |
138 | 316 | 276 | 300 |
139 | 315 | 278 | 300 |
140 | 314 | 280 | 300 |
141 | 313 | 282 | 300 |
142 | 312 | 284 | 300 |
143 | 311 | 286 | 350 |
144 | 310 | 288 | 350 |
145 | 309 | 290 | 350 |
146 | 308 | 292 | 350 |
147 | 307 | 294 | 350 |
148 | 306 | 296 | 350 |
149 | 305 | 298 | 350 |
150 | 304 | 300 | 350 |
151 | 303 | 302 | 350 |
152 | 302 | 304 | 350 |
153 | 301 | 306 | 350 |
154 | 300 | 308 | 350 |
155 | 299 | 310 | 350 |
156 | 298 | 312 | 350 |
157 | 297 | 314 | 350 |
158 | 296 | 316 | 350 |
159 | 295 | 318 | 350 |
160 | 294 | 320 | 350 |
161 | 293 | 322 | 350 |
162 | 292 | 324 | 350 |
163 | 291 | 326 | 350 |
164 | 290 | 328 | 350 |
165 | 289 | 330 | 350 |
166 | 288 | 332 | 350 |
167 | 287 | 334 | 350 |
168 | 286 | 336 | 350 |
169 | 285 | 338 | 350 |
170 | 284 | 340 | 400 |
171 | 283 | 342 | 400 |
172 | 282 | 344 | 400 |
173 | 281 | 346 | 400 |
174 | 280 | 348 | 400 |
175 | 279 | 350 | 400 |
176 | 278 | 352 | 400 |
177 | 277 | 354 | 400 |
178 | 276 | 356 | 400 |
179 | 275 | 358 | 400 |
180 | 274 | 360 | 400 |
181 | 273 | 362 | 400 |
182 | 272 | 364 | 400 |
183 | 271 | 366 | 400 |
184 | 270 | 368 | 400 |
185 | 269 | 370 | 400 |
186 | 268 | 372 | 400 |
187 | 267 | 374 | 400 |
188 | 266 | 376 | 400 |
189 | 265 | 378 | 400 |
190 | 264 | 380 | 400 |
191 | 263 | 382 | 400 |
192 | 262 | 384 | 400 |
193 | 261 | 386 | 400 |
194 | 260 | 388 | 400 |
195 | 259 | 390 | 400 |
196 | 258 | 392 | 400 |
197 | 257 | 394 | 400 |
198 | 256 | 396 | 400 |
199 | 255 | 398 | 400 |
200 | 254 | 400 | 400 |
201 | 253 | 402 | 400 |
202 | 252 | 404 | 400 |
203 | 251 | 406 | 400 |
204 | 250 | 408 | 400 |
205 | 249 | 410 | 400 |
206 | 248 | 412 | 400 |
207 | 247 | 414 | 400 |
208 | 246 | 416 | 400 |
209 | 245 | 418 | 400 |
210 | 244 | 420 | 400 |
211 | 243 | 422 | 400 |
212 | 242 | 424 | 400 |
213 | 241 | 426 | 400 |
214 | 240 | 428 | 400 |
215 | 239 | 430 | 400 |
216 | 238 | 432 | 400 |
217 | 237 | 434 | 400 |
218 | 236 | 436 | 400 |
219 | 235 | 438 | 400 |
220 | 234 | 440 | 400 |
221 | 233 | 442 | 400 |
222 | 232 | 444 | 400 |
223 | 231 | 446 | 400 |
224 | 230 | 448 | 400 |
225 | 229 | 450 | 400 |
226 | 228 | 452 | 400 |
227 | 227 | 454 | 400 |
228 | 226 | 456 | 400 |
229 | 225 | 458 | 400 |
230 | 224 | 460 | 400 |
231 | 223 | 462 | 400 |
232 | 222 | 464 | 400 |
233 | 221 | 466 | 400 |
234 | 220 | 468 | 400 |
235 | 219 | 470 | 400 |
236 | 218 | 472 | 400 |
237 | 217 | 474 | 400 |
238 | 216 | 476 | 400 |
239 | 215 | 478 | 400 |
240 | 214 | 480 | 400 |
241 | 213 | 482 | 400 |
242 | 212 | 484 | 400 |
243 | 211 | 486 | 400 |
244 | 210 | 488 | 400 |
245 | 209 | 490 | 400 |
246 | 208 | 492 | 400 |
247 | 207 | 494 | 400 |
248 | 206 | NA | 400 |
249 | 205 | 498 | 400 |
250 | 204 | 500 | 400 |
251 | 203 | 502 | 400 |
252 | 202 | 504 | 400 |
253 | 201 | 506 | 400 |
254 | 200 | 508 | 400 |
255 | 199 | 510 | 400 |
256 | 198 | 512 | 400 |
257 | 197 | 514 | 400 |
258 | 196 | 516 | 400 |
259 | 195 | 518 | 400 |
260 | 194 | 520 | 400 |
261 | 193 | 522 | 400 |
262 | 192 | 524 | 400 |
263 | 191 | 526 | 400 |
264 | 190 | 528 | 400 |
265 | 189 | 530 | 400 |
266 | 188 | 532 | 400 |
267 | 187 | 534 | 400 |
268 | 186 | 536 | 400 |
269 | 185 | 538 | 400 |
270 | 184 | 540 | 400 |
271 | 183 | 542 | 400 |
272 | 182 | 544 | 400 |
273 | 181 | 546 | 400 |
274 | 180 | 548 | 400 |
275 | 179 | 550 | 400 |
276 | 178 | 552 | 400 |
277 | 177 | 554 | 400 |
278 | 176 | 556 | 400 |
279 | 175 | 558 | 400 |
280 | 174 | 560 | 400 |
281 | 173 | 562 | 400 |
282 | 172 | 564 | 400 |
283 | 171 | 566 | 400 |
284 | 170 | 568 | 400 |
285 | 169 | 570 | 400 |
286 | 168 | 572 | 400 |
287 | 167 | 574 | 400 |
288 | 166 | 576 | 400 |
289 | 165 | 578 | 400 |
290 | 164 | 580 | 400 |
291 | 163 | 582 | 400 |
292 | 162 | 584 | 400 |
293 | 161 | 586 | 400 |
294 | 160 | 588 | 400 |
295 | 159 | 590 | 400 |
296 | 158 | 592 | 400 |
297 | 157 | 594 | 400 |
298 | 156 | 596 | 400 |
299 | 155 | 598 | 400 |
300 | 154 | NA | 400 |
301 | 153 | 602 | 400 |
302 | 152 | 604 | 400 |
303 | 151 | 606 | 400 |
304 | 150 | 608 | 400 |
305 | 149 | 610 | 400 |
306 | 148 | 612 | 400 |
307 | 147 | 614 | 400 |
308 | 146 | 616 | 400 |
309 | 145 | NA | 400 |
310 | 144 | 620 | 400 |
311 | 143 | 622 | 400 |
312 | 142 | 624 | 400 |
NA | 141 | 626 | 400 |
314 | 140 | 628 | 400 |
315 | NA | 630 | 400 |
316 | 138 | 632 | 400 |
317 | 137 | 634 | 400 |
318 | 136 | 636 | 400 |
319 | 135 | 638 | 400 |
320 | 134 | 640 | 400 |
321 | 133 | 642 | 400 |
322 | 132 | 644 | 400 |
323 | 131 | 646 | 400 |
324 | 130 | 648 | 400 |
325 | 129 | 650 | 400 |
326 | 128 | 652 | 400 |
327 | 127 | 654 | 400 |
328 | 126 | 656 | 400 |
329 | 125 | 658 | 400 |
330 | 124 | 660 | 400 |
331 | 123 | 662 | 400 |
332 | 122 | 664 | 400 |
333 | 121 | 666 | 400 |
334 | 120 | 668 | 400 |
335 | 119 | 670 | 400 |
336 | 118 | 672 | 400 |
337 | 117 | 674 | 400 |
338 | 116 | 676 | 400 |
339 | 115 | 678 | 400 |
340 | 114 | 680 | 400 |
341 | 113 | 682 | 400 |
342 | 112 | 684 | 400 |
343 | 111 | 686 | 400 |
344 | 110 | 688 | 400 |
345 | 109 | 690 | 400 |
346 | 108 | 692 | 400 |
347 | 107 | 694 | 400 |
348 | 106 | 696 | 400 |
349 | 105 | 698 | 400 |
350 | 104 | 700 | 400 |
351 | 103 | 702 | 400 |
352 | 102 | 704 | 400 |
353 | 101 | 706 | 400 |
NA | 100 | 708 | 400 |
355 | 99 | 710 | 400 |
356 | 98 | 712 | 400 |
357 | 97 | 714 | 400 |
358 | 96 | NA | 400 |
359 | 95 | 718 | 400 |
360 | 94 | 720 | 400 |
361 | 93 | 722 | 400 |
362 | 92 | 724 | 400 |
363 | 91 | 726 | 400 |
364 | NA | 728 | 400 |
365 | 89 | 730 | 400 |
366 | 88 | 732 | 400 |
367 | 87 | 734 | 400 |
368 | 86 | 736 | 400 |
369 | 85 | 738 | 400 |
370 | 84 | 740 | 400 |
371 | 83 | 742 | 400 |
372 | 82 | 744 | 400 |
373 | 81 | 746 | 400 |
374 | 80 | 748 | 400 |
375 | 79 | 750 | 400 |
376 | 78 | 752 | 400 |
377 | 77 | 754 | 400 |
378 | 76 | 756 | 400 |
379 | 75 | 758 | 400 |
380 | 74 | 760 | 400 |
381 | 73 | 762 | 400 |
382 | 72 | 764 | 400 |
383 | 71 | 766 | 400 |
384 | 70 | 768 | 400 |
385 | 69 | 770 | 400 |
386 | 68 | 772 | 400 |
387 | 67 | 774 | 400 |
388 | 66 | 776 | 400 |
389 | 65 | 778 | 400 |
390 | 64 | 780 | 400 |
391 | 63 | 782 | 400 |
392 | 62 | 784 | 400 |
393 | 61 | 786 | 400 |
394 | 60 | 788 | 400 |
395 | 59 | 790 | 400 |
396 | 58 | 792 | 400 |
397 | 57 | 794 | 400 |
398 | 56 | 796 | 400 |
399 | 55 | 798 | 400 |
400 | 54 | 800 | 400 |
401 | 53 | 802 | 400 |
402 | 52 | 804 | 400 |
403 | 51 | 806 | 400 |
404 | 50 | 808 | 400 |
405 | 49 | 810 | 400 |
406 | 48 | 812 | 400 |
407 | 47 | 814 | 400 |
408 | 46 | 816 | 400 |
409 | 45 | 818 | 400 |
410 | 44 | 820 | 400 |
411 | 43 | 822 | 400 |
412 | 42 | 824 | 400 |
413 | 41 | 826 | 400 |
414 | 40 | 828 | 400 |
415 | 39 | 830 | 400 |
416 | 38 | 832 | 400 |
417 | 37 | 834 | 400 |
418 | 36 | 836 | 400 |
419 | 35 | 838 | 400 |
420 | 34 | 840 | 400 |
421 | 33 | 842 | 400 |
422 | 32 | 844 | 400 |
423 | 31 | 846 | 400 |
424 | 30 | 848 | 400 |
425 | 29 | 850 | 400 |
426 | 28 | 852 | 400 |
427 | 27 | 854 | 400 |
428 | 26 | 856 | 400 |
429 | 25 | 858 | 400 |
NA | 24 | 860 | 400 |
431 | 23 | 862 | 400 |
NA | 22 | 864 | 400 |
433 | 21 | 866 | 400 |
434 | 20 | 868 | 400 |
435 | 19 | 870 | 400 |
436 | 18 | NA | 400 |
437 | 17 | 874 | 400 |
438 | 16 | 876 | 400 |
439 | 15 | 878 | 400 |
440 | 14 | 880 | 400 |
441 | NA | 882 | 400 |
442 | 12 | 884 | 400 |
443 | 11 | 886 | 400 |
444 | 10 | 888 | 400 |
445 | 9 | 890 | 400 |
446 | 8 | 892 | 400 |
447 | 7 | 894 | 400 |
448 | 6 | 896 | 400 |
449 | 5 | 898 | 400 |
450 | 4 | 900 | 400 |
451 | 3 | 902 | 400 |
452 | 2 | 904 | 400 |
453 | 1 | 906 | 400 |

Transcribed Image Text:x1
x2
x3
х4
1
453
2
100
452
4
100
3
451
100
4
450
8
100
449
10
100
448
12
100
7
447
14
100
8
446
16
100
445
18
100
10
444
20
100
11
443
22
100
12 NA
24
100
13
441
26
100
14
440
28
100
15
439
30
100
16
438
32
100
17
437
34
100
18
436
36
100
19
435
38
100
20
434
40
100
21
433 NA
100
22
432
44
100
23
431
46
100
24
430
48
100
25
429
50
100
26
428
52
100
27
427
54
100
28
426 NA
100
29
425
58
100
30
424
60
100
31
423
62
100
32
422
64
100
ALA

Transcribed Image Text:Open LA02.csv dataset and answer the following questions:
1.
Explain the structure of the dataset.
Find the mean and median for each of the variables. Describe the problem you found
and explain your solution.
2.
3.
Find the mode for x4. Explain how you get the value.
4.
Find the variance for each variable and present your result in a table.
Run an appropriate test to compare variance between x1 and x2. What is the name
of the test you used?
5.
6.
Explain the result of the test you run in 5.
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