Your task is to first identify the proposed analysis and why you chose that analysis for each of these scenarios, then proceed to respond to the other sections related to each scenario. All of your written responses should be recorded in the three tables provided below. Please use α = .05 for all analyses. If an assumption is not met, please continue with the analysis for the purpose of this assignment. Scenario: Album Sales: A study was done to see whether getting radio airtime and spending money on advertisements accurately predicts the number of album copies sold. A random sample of 200 artists’ albums were tracked on the number of times their songs play on the central radio station, how much money (in thousands) they spent on advertisements, as well as the number (in thousands) of album copies were sold. A record company wanted to determine if there was a positive relationship between album sales and the other two variables (money spent on advertisements and number of albums sold).
- Your task is to first identify the proposed analysis and why you chose that analysis for each of these scenarios, then proceed to respond to the other sections related to each scenario.
- All of your written responses should be recorded in the three tables provided below.
- Please use α = .05 for all analyses.
- If an assumption is not met, please continue with the analysis for the purpose of this assignment.
data fileScenario: Album Sales: A study was done to see whether getting radio airtime and spending money on advertisements accurately predicts the number of album copies sold. A random sample of 200 artists’ albums were tracked on the number of times their songs play on the central radio station, how much money (in thousands) they spent on advertisements, as well as the number (in thousands) of album copies were sold. A record company wanted to determine if there was a positive relationship between album sales and the other two variables (money spent on advertisements and number of albums sold).
Proposed analysis and why you chose the analysis:
Measurement type (i.e., nominal, ordinal, continuous) for variable(s) that will be used in the analysis:
Null and alternative hypotheses (based on context of study) in symbols:
Test assumptions and make a decision (please provide written evidence to support your decision):
Inferential statistic (s) and p-value(s):Decision:
Conclusion:
Based on your decision, identify and explain the type of error you could be making with respect to the conclusions of the study
sales
advertisements
airtime
330
10.256
43
120
985.685
28
360
1445.56
35
270
1188.19
33
220
574.513
44
170
568.954
19
70
471.814
20
210
537.352
22
200
514.068
21
300
174.093
40
290
1720.81
32
70
611.479
20
150
251.192
24
190
97.972
38
240
406.814
24
100
265.398
25
250
1323.29
35
210
196.65
36
280
1326.6
27
230
1380.69
33
210
792.345
33
230
957.167
28
320
1789.66
30
210
656.137
34
230
613.697
49
250
313.362
40
60
336.51
20
330
1544.9
42
150
68.954
35
150
785.692
8
180
125.628
49
80
377.925
19
180
217.994
42
130
759.862
6
320
1163.44
36
280
842.957
32
200
125.179
28
130
236.598
25
190
669.811
34
150
612.234
21
230
922.019
34
310
50
63
340
2000
31
240
1054.03
25
180
385.045
42
220
1507.97
37
40
102.568
25
190
204.568
26
290
1170.92
39
340
689.547
46
250
784.22
36
190
405.913
12
120
179.778
2
230
607.258
29
190
1542.33
33
210
1112.47
28
170
856.985
10
310
836.331
38
90
236.908
19
140
1077.86
13
300
579.321
30
340
1500
38
170
731.364
22
100
25.689
23
200
391.749
22
80
233.999
20
100
275.7
18
70
56.895
37
50
255.117
16
240
566.501
32
160
102.568
26
290
250.568
53
140
68.594
28
210
642.786
32
300
1500
24
230
102.563
37
280
756.984
30
160
51.229
19
200
644.151
47
110
15.313
22
110
243.237
10
70
256.894
1
100
22.464
1
190
45.689
39
70
724.938
8
360
1126.46
38
360
1985.12
35
300
1837.52
40
120
135.986
22
150
237.703
27
220
976.641
31
280
1452.69
19
300
1600
24
140
268.598
1
290
900.889
38
180
982.063
26
140
201.356
11
210
746.024
34
250
1132.88
55
250
1000
5
120
75.896
34
290
1351.25
37
60
202.705
13
140
365.985
23
290
305.268
54
160
263.268
18
100
513.694
2
160
152.609
11
150
35.987
30
140
102.568
22
230
215.368
36
230
426.784
37
30
507.772
9
80
233.291
2
190
1035.43
12
90
102.642
5
120
526.142
14
150
624.538
20
230
912.349
57
150
215.994
19
210
561.963
35
180
474.76
22
140
231.523
16
360
678.596
53
10
70.922
4
240
1567.55
29
270
263.598
43
290
1423.57
26
220
715.678
28
230
777.237
37
220
509.43
32
240
964.11
34
260
583.627
30
170
923.373
15
130
344.392
23
270
1095.58
31
140
100.025
21
60
30.425
28
210
1080.34
18
210
799.899
28
240
1071.75
37
210
893.355
26
200
283.161
30
140
917.017
10
90
234.568
21
120
456.897
18
100
206.973
14
360
1294.1
38
180
826.859
36
150
564.158
32
110
192.607
9
90
10.652
39
160
45.689
24
230
42.568
45
40
20.456
13
60
635.192
17
230
1002.27
32
230
1177.05
23
120
507.638
0
150
215.689
35
120
526.48
26
60
26.895
19
280
883.877
26
120
9.104
53
230
103.568
29
230
169.583
28
40
429.504
17
140
223.639
26
360
145.585
42
210
985.968
17
260
500.922
36
250
226.652
45
200
1051.17
20
150
68.093
15
250
1547.16
28
100
393.774
27
260
804.282
17
210
801.577
32
290
450.562
46
220
26.598
47
70
179.061
19
110
345.687
22
250
295.84
55
320
2271.86
31
300
1134.58
39
180
601.434
21
180
45.298
36
200
759.518
21
320
832.869
44
140
56.894
27
100
709.399
16
120
56.895
33
230
767.134
33
150
503.172
21
250
700.929
35
190
910.851
26
240
888.569
14
250
800.615
34
230
1500
11
110
785.694
20
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