Using the accompanying data of restaurant sales, determine if the variance of weekday sales is the same as that of weekend sales for each of the three variables (lunch, dinner, and delivery). Click the icon to view the restaurant sales data. Is there sufficient evidence at the 0.01 level of significance to conclude that the variance of weekday sales is the same as that of weekend sales for lunch sales? Determine the null hypothesis, Ho, and the alterative hypothesis, H₁ Let weekend sales be population 1 and weekday sales be population 2. 2 2 100 0 2 2 0 Ho 0-0 H₁: 0-0 (Type integers or decimals. Do not round.) Compute the test statistic. 3.95 (Round to two decimal places as needed.) Find the one-tail p-value for the test. Survey data Date 4-Apr 11-Apr Day Wednesday Wednesday Lunch Sales $ 358 Dinner Sales $ Delivery Sales S 789 293 386 665 299 18-Apr Wednesday 426 628 269 25-Apr Wednesday 331 729 253 3-Apr Tuesday 296 648 325 10-Apr Tuesday 308 572 326 17-Apr Tuesday 297 568 358 24-Apr Tuesday 229 529 402 ། 0.009 (Round to three decimal places as needed.) 5-Apr Thursday 402 808 273 State the conclusion. 12-Apr Thursday 420 900 248 The p-value is greater than the chosen value of a/2, so do not reject the null hypothesis. There is insufficient evidence to conclude that the variance of weekday sales is different from that of weekend sales for lunch sales. 19-Apr Thursday 337 904 284 ८ 26-Apr Thursday 426 934 352 Is there sufficient evidence at the 0.01 level of significance to conclude that the variance of weekday sales is the same as that of weekend sales for dinner sales? Determine the null hypothesis, Ho, and the alterative hypothesis, H₁- Let weekday sales be population 1 and weekend sales be population 2. 6-Apr Friday 444 1286 1236 13-Apr Friday 509 1175 1059 20-Apr Friday 466 1332 1253 27-Apr Friday 380 1414 1140 2 2 0 1-Apr Saturday 874 1338 491 2 2 8-Apr Saturday 698 1217 339 H₁₂ 0-0 0 15-Apr Saturday 737 1144 333 (Type integers or decimals. Do not round.) Compute the test statistic. (Round to two decimal places as needed.) 22-Apr Saturday 856 1330 322 29-Apr Saturday 782 1226 404 31-Mar Sunday 542 1475 879 7-Apr Sunday 452 1657 792 14-Apr Sunday 513 1588 705 21-Apr Sunday 613 1737 640 28-Apr Sunday 592 1854 592

FINANCIAL ACCOUNTING
10th Edition
ISBN:9781259964947
Author:Libby
Publisher:Libby
Chapter1: Financial Statements And Business Decisions
Section: Chapter Questions
Problem 1Q
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Using the accompanying data of restaurant sales, determine if the variance of weekday sales is the same as that of weekend sales for each of the three variables (lunch, dinner, and delivery).
Click the icon to view the restaurant sales data.
Is there sufficient evidence at the 0.01 level of significance to conclude that the variance of weekday sales is the same as that of weekend sales for lunch sales?
Determine the null hypothesis, Ho, and the alterative hypothesis, H₁ Let weekend sales be population 1 and weekday sales be population 2.
2 2
100
0
2
2
0
Ho 0-0
H₁: 0-0
(Type integers or decimals. Do not round.)
Compute the test statistic.
3.95 (Round to two decimal places as needed.)
Find the one-tail p-value for the test.
Survey data
Date
4-Apr
11-Apr
Day
Wednesday
Wednesday
Lunch Sales $
358
Dinner Sales $
Delivery Sales S
789
293
386
665
299
18-Apr
Wednesday
426
628
269
25-Apr
Wednesday
331
729
253
3-Apr
Tuesday
296
648
325
10-Apr
Tuesday
308
572
326
17-Apr
Tuesday
297
568
358
24-Apr
Tuesday
229
529
402
།
0.009 (Round to three decimal places as needed.)
5-Apr
Thursday
402
808
273
State the conclusion.
12-Apr
Thursday
420
900
248
The p-value is greater than the chosen value of a/2, so do not reject the null hypothesis. There is insufficient evidence to conclude that the variance of weekday sales is different from that of weekend sales for lunch sales.
19-Apr
Thursday
337
904
284
८
26-Apr
Thursday
426
934
352
Is there sufficient evidence at the 0.01 level of significance to conclude that the variance of weekday sales is the same as that of weekend sales for dinner sales?
Determine the null hypothesis, Ho, and the alterative hypothesis, H₁- Let weekday sales be population 1 and weekend sales be population 2.
6-Apr
Friday
444
1286
1236
13-Apr
Friday
509
1175
1059
20-Apr
Friday
466
1332
1253
27-Apr
Friday
380
1414
1140
2
2
0
1-Apr
Saturday
874
1338
491
2
2
8-Apr
Saturday
698
1217
339
H₁₂ 0-0
0
15-Apr
Saturday
737
1144
333
(Type integers or decimals. Do not round.)
Compute the test statistic.
(Round to two decimal places as needed.)
22-Apr
Saturday
856
1330
322
29-Apr
Saturday
782
1226
404
31-Mar
Sunday
542
1475
879
7-Apr
Sunday
452
1657
792
14-Apr
Sunday
513
1588
705
21-Apr
Sunday
613
1737
640
28-Apr
Sunday
592
1854
592
Transcribed Image Text:Using the accompanying data of restaurant sales, determine if the variance of weekday sales is the same as that of weekend sales for each of the three variables (lunch, dinner, and delivery). Click the icon to view the restaurant sales data. Is there sufficient evidence at the 0.01 level of significance to conclude that the variance of weekday sales is the same as that of weekend sales for lunch sales? Determine the null hypothesis, Ho, and the alterative hypothesis, H₁ Let weekend sales be population 1 and weekday sales be population 2. 2 2 100 0 2 2 0 Ho 0-0 H₁: 0-0 (Type integers or decimals. Do not round.) Compute the test statistic. 3.95 (Round to two decimal places as needed.) Find the one-tail p-value for the test. Survey data Date 4-Apr 11-Apr Day Wednesday Wednesday Lunch Sales $ 358 Dinner Sales $ Delivery Sales S 789 293 386 665 299 18-Apr Wednesday 426 628 269 25-Apr Wednesday 331 729 253 3-Apr Tuesday 296 648 325 10-Apr Tuesday 308 572 326 17-Apr Tuesday 297 568 358 24-Apr Tuesday 229 529 402 ། 0.009 (Round to three decimal places as needed.) 5-Apr Thursday 402 808 273 State the conclusion. 12-Apr Thursday 420 900 248 The p-value is greater than the chosen value of a/2, so do not reject the null hypothesis. There is insufficient evidence to conclude that the variance of weekday sales is different from that of weekend sales for lunch sales. 19-Apr Thursday 337 904 284 ८ 26-Apr Thursday 426 934 352 Is there sufficient evidence at the 0.01 level of significance to conclude that the variance of weekday sales is the same as that of weekend sales for dinner sales? Determine the null hypothesis, Ho, and the alterative hypothesis, H₁- Let weekday sales be population 1 and weekend sales be population 2. 6-Apr Friday 444 1286 1236 13-Apr Friday 509 1175 1059 20-Apr Friday 466 1332 1253 27-Apr Friday 380 1414 1140 2 2 0 1-Apr Saturday 874 1338 491 2 2 8-Apr Saturday 698 1217 339 H₁₂ 0-0 0 15-Apr Saturday 737 1144 333 (Type integers or decimals. Do not round.) Compute the test statistic. (Round to two decimal places as needed.) 22-Apr Saturday 856 1330 322 29-Apr Saturday 782 1226 404 31-Mar Sunday 542 1475 879 7-Apr Sunday 452 1657 792 14-Apr Sunday 513 1588 705 21-Apr Sunday 613 1737 640 28-Apr Sunday 592 1854 592
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