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). 1. Proposed analysis and why you chose the analysis 2. Measurement type (i.e., nominal, ordinal, continuous) for variable(s) that will be used in the analysis 3. Null and alternative hypotheses (based on context of study) in symbols 4. Test assumptions and make a decision (please provide writt
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).
1. Proposed analysis and why you chose the analysis
2. Measurement type (i.e., nominal, ordinal, continuous) for variable(s) that will be used in the analysis
3. Null and alternative hypotheses (based on context of study) in symbols
4. Test assumptions and make a decision (please provide written evidence to support your decision)
5.
6. Decision
7. Conclusion
8. 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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