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Question

Accounting

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Purchase Age Brand
1 1 A
2 1 C
3 0 C
4 0 C
5 0 C
6 0 C
7 0 C
8 0 C
9 0 C
10 0 C
11 0 C
12 0 C
13 0 C
14 1 C
15 0 A
16 1 A
17 1 C
18 1 B
19 0 B
20 1 A
21 1 B
22 1 A
23 1 B
24 1 C
25 0 C
26 1 A
27 0 B
28 1 B
29 0 A
30 1 B
31 0 B
32 0 B
33 1 C
34 1 A
35 0 A
36 0 B
37 0 B
38 0 B
39 0 C
40 0 C
41 1 A
42 1 A
43 0 A
44 0 A
45 1 C
46 1 A
47 1 A
48 0 C
49 0 A
50 0 C
51 1 A
52 0 A
53 1 C
54 0 C
55 1 B
56 1 C
57 1 B
58 0 B
59 1 B
60 1 B
61 0 B
62 1 C
63 0 A
64 1 B
65 0 B
66 1 B
67 0 C
68 1 A
69 1 B
70 0 B
71 1 B
72 1 B
73 0 C
74 1 C
75 1 B
76 1 A
77 0 A
78 1 C
79 0 B
80 0 C
81 1 A
82 1 C
83 1 C
84 1 A
85 0 B
86 1 B
87 1 A
88 1 C
89 1 B
90 1 A
91 1 A
92 0 B
93 0 B
94 0 A
95 0 A
96 0 C
97 1 B
98 1 A
99 1 C
100 1 A
101 0 A
102 1 A
103 0 C
104 1 A
105 1 B
106 1 A
107 1 A
108 1 A
109 1 A
110 1 B
111 0 C
112 1 C
113 1 C
114 0 B
115 0 A
116 1 C
117 1 B
118 1 A
119 0 A
120 1 A
121 1 B
122 0 C
123 1 A
124 1 B
125 0 C
126 0 B
127 0 C
128 1 A
129 1 A
130 1 B
131 1 A
132 0 C
133 1 C
134 1 A
135 0 A
136 0 B
137 0 A
138 1 C
139 1 B
140 1 A
141 0 C
142 1 C
143 1 A
144 1 A
145 1 C
146 1 B
147 1 B
148 1 A
149 0 C
150 1 A
151 1 C
152 0 A
153 0 B
154 0 C
155 1 B
156 0 B
157 1 A
158 0 B
159 1 A
160 1 C
161 1 A
162 1 C
163 0 A
164 1 B
165 1 A
166 0 B
167 1 A
168 1 A
169 1 A
170 0 A
171 1 B
172 1 B
173 1 A
174 1 C
175 1 A
176 1 A
177 1 B
178 1 B
179 1 A
180 1 A
181 1 B
182 0 B
183 1 A
184 1 B
185 1 C
186 1 B
187 1 B
188 0 A
189 0 A
190 1 C
191 0 C
192 0 C
193 0 C
194 1 B
195 0 A
196 1 A
197 0 B
198 1 B
199 1 A
200 1 A
201 1 A
202 1 B
203 0 A
204 0 C
205 1 A
206 1 B
207 1 A
208 1 C
209 0 B
210 1 C
211 1 A
212 1 B
213 1 A
214 1 C
215 1 C
216 0 B
217 1 A
218 0 B
219 1 A
220 1 C
221 0 C
222 0 C
223 0 C
224 1 A
225 1 B
226 1 B
227 1 A
228 1 B
229 0 A
230 1 A
231 1 A
232 1 B
233 1 B
234 1 B
235 1 B
236 1 A
237 1 A
238 1 B
239 1 C
240 0 C
241 0 B
242 1 B
243 1 C
244 1 C
245 1 B
246 1 A
247 0 C
248 1 A
249 0 C
250 0 B
251 0 C
252 1 A
253 0 B
254 1 B
255 1 A
256 1 A
257 1 C
258 0 B
259 1 C
260 1 B
261 1 B
262 1 C
263 1 A
264 0 A
265 1 A
266 0 B
267 1 B
268 1 A
269 1 C
270 1 A
271 1 A
272 1 A
273 0 A
274 0 B
275 1 A
276 1 B
277 1 C
278 1 A
279 1 C
280 1 C
281 1 B
282 1 B
283 0 C
284 1 A
285 0 C
286 0 C
287 1 B
288 0 C
289 0 B
290 0 C
291 1 B
292 1 B
293 0 C
294 1 A
295 1 B
296 1 A
297 1 A
298 1 A
299 1 A
300 1 B
301 1 A
302 1 C
303 0 C
304 1 C
305 0 C
306 1 C
307 0 B
308 0 C
309 1 C
310 1 A
311 1 C
312 0 B
313 1 B
314 1 A
315 1 A
316 1 A
317 1 C
318 0 B
319 0 C
320 0 B
321 1 B
322 0 C
323 1 B
324 1 A
325 0 A
326 1 B
327 1 B
328 0 C
329 0 C
330 1 A
331 0 A
332 0 B
333 1 A
334 1 B
335 1 A
336 0 B
337 1 B
338 1 C
339 1 C
340 1 A
341 0 B
342 0 A
343 0 B
344 1 B
345 1 B
346 1 A
347 1 C
348 1 A
349 0 C
350 0 A
351 1 B
352 0 A
353 0 C
354 1 A
355 1 A
356 1 C
357 1 C
358 1 C
359 1 A
360 0 C
361 1 C
362 1 B
363 0 A
364 0 B
365 0 C
366 1 A
367 1 A
368 1 C
369 0 B
370 1 A
371 1 B
372 1 B
373 1 C
374 1 A
375 1 C
376 0 C
377 1 B
378 1 A
379 1 C
380 1 B
381 1 C
382 1 A
383 0 B
384 1 A
385 1 A
386 0 A
387 1 A
388 1 A
389 0 B
390 1 C
391 0 B
392 1 A
393 0 C
394 1 A
395 1 B
396 1 A
397 1 A
398 1 B
399 1 C
400 1 C
401 0 A
402 1 A
403 1 B
404 1 C
405 0 C
406 1 B
407 0 A
408 1 B
409 0 C
410 0 A
411 1 C
412 1 A
413 0 B
414 0 C
415 0 A
416 1 A
417 1 B
418 1 A
419 1 A
420 0 C
421 1 A
422 0 B
423 1 A
424 1 B
425 1 A
426 1 A
427 1 B
428 0 C
429 0 A
430 1 A
431 0 B
432 1 B
433 0 A
434 0 A
435 1 A
436 0 A
437 1 B
438 1 C
439 1 A
440 0 B
441 0 B
442 1 B
443 0 C
444 1 A
445 1 A
446 0 A
447 0 B
448 1 B
449 0 B
450 0 B
451 0 C
452 1 A
453 1 A
454 0 B
455 1 A
456 1 C
457 1 C
458 1 B
459 1 B
460 0 C
461 0 C
462 1 C
463 1 B
464 0 B
465 1 B
466 0 C
467 0 C
468 0 B
469 0 B
470 1 B
471 0 B
472 1 B
473 1 B
474 1 A
475 0 A
476 1 C
477 0 B
478 1 B
479 1 A
480 1 B
481 0 B
482 1 B
483 0 A
484 0 A
485 1 C
486 1 A
487 1 C
488 1 A
489 1 C
490 1 B
491 1 B
492 0 A
493 1 A
494 1 A
495 0 C
496 0 C
497 0 C
498 1 A
499 0 C
500 1 A
501 1 C
502 1 B
503 1 A
504 0 A
505 0 C
506 1 B
507 1 B
508 0 B
509 0 B
510 1 B
511 1 C
512 0 B
513 1 A
514 1 A
515 1 A
516 0 C
517 0 A
518 1 C
519 1 A
520 0 A
521 0 B
522 1 A
523 1 A
524 1 C
525 1 B
526 1 C
527 0 B
528 1 B
529 1 A
530 1 B
531 1 A
532 1 B
533 1 B
534 0 C
535 1 A
536 0 A
537 1 C
538 1 C
539 0 C
540 1 B
541 1 A
542 1 C
543 0 A
544 0 C
545 0 B
546 1 A
547 0 B
548 0 C
549 1 C
550 1 B
551 1 B
552 1 A
553 1 A
554 1 B
555 0 C
556 1 A
557 0 C
558 1 A
559 1 C
560 1 B
561 1 A
562 1 B
563 1 A
564 1 A
565 1 A
566 1 B
567 1 A
568 1 C
569 1 A
570 1 B
571 1 C
572 1 B
573 0 B
574 1 B
575 1 A
576 0 C
577 1 A
578 1 A
579 1 A
580 1 B
581 0 C
582 1 C
583 1 C
584 1 B
585 0 C
586 1 B
587 1 A
588 1 B
589 1 A
590 1 B
591 1 B
592 0 A
593 1 C
594 1 B
595 0 A
596 1 A
597 1 C
598 1 B
599 0 C
600 0 B

A researcher at a marketing firm examines whether the age of a consumer matters when buying athletic clothing. Her initial feeling is that Brand A attracts a younger customer, whereas the more established companies (Brands B and C) draw an older clientele. For 600 recent purchases of athletic clothing, she collects data on a customer's age (Age equals 1 if the customer is under 35, 0 otherwise) and the brand name of the athletic clothing (A, B, or C). A portion of the data is shown in the accompanying table. pictureClick here for the Excel Data File a-1. Construct a contingency table that cross-classifies the data by Age and Brand. Provide the frequencies in the accompanying table. a-2. How many of the purchases were for Brand A? a-3. How many of the purchases were from customers under 35 years old? b-1. Given that the customer was younger than 35 years old, what is the likelihood that the customer purchased Brand A? (Report the proportion rounded to 2 decimal places.) b-2. Given that the customer was younger than 35 years old, what is the likelihood that the customer purchased Brand B? (Report the proportion rounded to 2 decimal places.) b-3. Given that the customer was younger than 35 years old, what is the likelihood that the customer purchased Brand C? (Report the proportion rounded to 2 decimal places.) c. The figure below shows the stacked column chart for the data. Which of the following statements is least accurate? Brand A had the most purchases. Of those who purchased Brand A, those younger than 35 years old made a majority of the purchases. Of those who purchased Brand B, those at least 35 years old made a majority of the purchases. Brand C had the least purchases. A researcher at a marketing firm examines whether the age of a consumer matters when buying athletic clothing. Her initial feeling is that Brand A attracts a younger customer, whereas the more established companies (Brands B and C) draw an older clientele. For 600 recent purchases of athletic clothing, she collects data on a customer's age (Age equals 1 if the customer is under 35, 0 otherwise) and the brand name of the athletic clothing (A, B, or C). A portion of the data is shown in the accompanying table. pictureClick here for the Excel Data File a-1. Construct a contingency table that cross-classifies the data by Age and Brand. Provide the frequencies in the accompanying table. a-2. How many of the purchases were for Brand A? a-3. How many of the purchases were from customers under 35 years old? b-1. Given that the customer was younger than 35 years old, what is the likelihood that the customer purchased Brand A? (Report the proportion rounded to 2 decimal places.) b-2. Given that the customer was younger than 35 years old, what is the likelihood that the customer purchased Brand B? (Report the proportion rounded to 2 decimal places.) b-3. Given that the customer was younger than 35 years old, what is the likelihood that the customer purchased Brand C? (Report the proportion rounded to 2 decimal places.) c. The figure below shows the stacked column chart for the data. Which of the following statements is least accurate? Brand A had the most purchases. Of those who purchased Brand A, those younger than 35 years old made a majority of the purchases. Of those who purchased Brand B, those at least 35 years old made a majority of the purchases. Brand C had the least purchases

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