A magazine tested LCD televisions. The table below shows the overall quality score and cost in hundreds of dollars. Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level of a=0.05. Based on these results, can you expect to get higher quality by purchasing a more expensive LCD television? Quality 76 74 71 70 69 68 65 62 62 60 59 27 30 38 24 21 11 27 24 12 11 21 Cost
A magazine tested LCD televisions. The table below shows the overall quality score and cost in hundreds of dollars. Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level of a=0.05. Based on these results, can you expect to get higher quality by purchasing a more expensive LCD television? Quality 76 74 71 70 69 68 65 62 62 60 59 27 30 38 24 21 11 27 24 12 11 21 Cost
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
![K
A magazine tested LCD televisions. The table below shows the overall quality score and cost in hundreds of dollars.
Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level of
x=0.05. Based on these results, can you expect to get higher quality by purchasing a more expensive
LCD television?
Quality 76 74 71 70 69 68 65 62 62 60 59
Cost 27 30 38 24 21 11 27 24 12 11 21
Click the icon to view the critical values of Spearman's rank correlation coefficient.
Determine the null and alternative hypotheses for this test. Choose the correct answer below.
OA. Ho: s=0
OB. Ho: rs #0
H₁: r₁=0
H₁: rg #0
OC. Ho: Ps #0
H₁: P = 0
Determine the correlation coefficient.
r₂ = (Round to three decimal places as needed.)
Determine the critical value(s) of the correlation coefficient.
0
(Round to three decimal places as needed. Use a comma to separate answers as needed.)
Choose the correct answer below
OA. Fail to reject the null hypothesis. There is insufficient evidence to support a claim of a correlation between
quality and price.
OB. Fail to reject the null hypothesis. There is sufficient evidence to support a claim of a correlation between
quality and price.
of a correlation between quality
D
Spearman's Rank Correlation Coefficient
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
-1
a/2
-1₂
Critical Values of Spearman's Rank
Correlation Coefficient r
a = 0.05
a = 0.10
900
829
714
643
600
564
536
503
484
464
446
429
414
401
391
380
370
361
353
344
337
331
324
317
312
306
886
786
.738
.700
648
618
587
560
538
521
503
485
472
460
447
435
425
a/2
415
406
398
390
382
375
368
362
OD. Ho: P = 0
H₁: Ps #0
a = 0.02
943
893
833
.783
745
.709
678
648
626
604
582
566
550
535
520
508
496
486
476
466
457
448
440
433
425
1
a 0.01
929
881
833
794
755
727
.703
679
654
635
615
600
584
570
556
544
532
521
511
501
491
483
475
467
- X
of a correlation between quality
Next](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fff4f609e-581a-443b-8b38-f9a882250427%2Fcbc4d489-913f-43ed-9f33-71c464a51b43%2Fvn4806_processed.jpeg&w=3840&q=75)
Transcribed Image Text:K
A magazine tested LCD televisions. The table below shows the overall quality score and cost in hundreds of dollars.
Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level of
x=0.05. Based on these results, can you expect to get higher quality by purchasing a more expensive
LCD television?
Quality 76 74 71 70 69 68 65 62 62 60 59
Cost 27 30 38 24 21 11 27 24 12 11 21
Click the icon to view the critical values of Spearman's rank correlation coefficient.
Determine the null and alternative hypotheses for this test. Choose the correct answer below.
OA. Ho: s=0
OB. Ho: rs #0
H₁: r₁=0
H₁: rg #0
OC. Ho: Ps #0
H₁: P = 0
Determine the correlation coefficient.
r₂ = (Round to three decimal places as needed.)
Determine the critical value(s) of the correlation coefficient.
0
(Round to three decimal places as needed. Use a comma to separate answers as needed.)
Choose the correct answer below
OA. Fail to reject the null hypothesis. There is insufficient evidence to support a claim of a correlation between
quality and price.
OB. Fail to reject the null hypothesis. There is sufficient evidence to support a claim of a correlation between
quality and price.
of a correlation between quality
D
Spearman's Rank Correlation Coefficient
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
-1
a/2
-1₂
Critical Values of Spearman's Rank
Correlation Coefficient r
a = 0.05
a = 0.10
900
829
714
643
600
564
536
503
484
464
446
429
414
401
391
380
370
361
353
344
337
331
324
317
312
306
886
786
.738
.700
648
618
587
560
538
521
503
485
472
460
447
435
425
a/2
415
406
398
390
382
375
368
362
OD. Ho: P = 0
H₁: Ps #0
a = 0.02
943
893
833
.783
745
.709
678
648
626
604
582
566
550
535
520
508
496
486
476
466
457
448
440
433
425
1
a 0.01
929
881
833
794
755
727
.703
679
654
635
615
600
584
570
556
544
532
521
511
501
491
483
475
467
- X
of a correlation between quality
Next
![A magazine tested LCD televisions. The table below shows the overall quality score and cost in hundreds of dollars.
Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level of
x = 0.05. Based on these results, can you expect to get higher quality by purchasing a more expensive
LCD television?
Quality 76 74 71 70 69 68 65 62 62 60 59
Cost
27 24 12 11 21
27 30 38 24 21 11
Click the icon to view the critical values of Spearman's rank correlation coefficient.
Determine the null and alternative hypotheses for this test. Choose the correct answer below.
OA. Ho: rs = 0
OB. Ho: rs #0
H₁: rs =0
H₁: rs #0
O C. Ho: Ps #0
H₁: Ps=0
Determine the correlation coefficient.
's
(Round to three decimal places as needed.)
Determine the critical value(s) of the correlation coefficient.
D. Ho: Ps=0
H₁: Ps #0
(Round to three decimal places as needed. Use a comma to separate answers as needed.)
Choose the correct answer below.
O A. Fail to reject the null hypothesis. There is insufficient evidence to support a claim of a correlation between
quality and price.
B. Fail to reject the null hypothesis. There is sufficient evidence to support a claim of a correlation between
quality and price.
OC. Reject the null hypothesis. There is sufficient evidence to support a claim of a correlation between quality
and price.
D. Reject the null hypothesis. There is insufficient evidence to support a claim of a correlation between quality
and price.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fff4f609e-581a-443b-8b38-f9a882250427%2Fcbc4d489-913f-43ed-9f33-71c464a51b43%2Flckabvi_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A magazine tested LCD televisions. The table below shows the overall quality score and cost in hundreds of dollars.
Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level of
x = 0.05. Based on these results, can you expect to get higher quality by purchasing a more expensive
LCD television?
Quality 76 74 71 70 69 68 65 62 62 60 59
Cost
27 24 12 11 21
27 30 38 24 21 11
Click the icon to view the critical values of Spearman's rank correlation coefficient.
Determine the null and alternative hypotheses for this test. Choose the correct answer below.
OA. Ho: rs = 0
OB. Ho: rs #0
H₁: rs =0
H₁: rs #0
O C. Ho: Ps #0
H₁: Ps=0
Determine the correlation coefficient.
's
(Round to three decimal places as needed.)
Determine the critical value(s) of the correlation coefficient.
D. Ho: Ps=0
H₁: Ps #0
(Round to three decimal places as needed. Use a comma to separate answers as needed.)
Choose the correct answer below.
O A. Fail to reject the null hypothesis. There is insufficient evidence to support a claim of a correlation between
quality and price.
B. Fail to reject the null hypothesis. There is sufficient evidence to support a claim of a correlation between
quality and price.
OC. Reject the null hypothesis. There is sufficient evidence to support a claim of a correlation between quality
and price.
D. Reject the null hypothesis. There is insufficient evidence to support a claim of a correlation between quality
and price.
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