When companies are designing a new product, one of the steps typically taken is to see how potential buyers react to a picture or prototype of the proposed product. The
When companies are designing a new product, one of the steps typically taken is to see how potential buyers react to a picture or prototype of the proposed product. The product-development team for a notebook computer company has shown picture A to a large sample of potential buyers and picture B to another, asking each person to indicate what they "would expect to pay" for such a product. The data resulting from the two pictures are provided in file (sheet 6). Using the 0.05 level of significance, determine whether the prototypes might not really differ in terms of the price that potential buyers would expect to pay.
Sheet 6
ComputerA | ComputerB |
3 317 | 2 965 |
2 680 | 3 083 |
3 286 | 3 137 |
2 859 | 2 950 |
2 693 | 3 161 |
2 945 | 2 918 |
2 908 | 3 158 |
3 193 | 3 082 |
3 240 | 2 903 |
3 040 | 3 103 |
2 906 | 3 042 |
3 285 | 3 041 |
3 126 | 3 234 |
3 114 | 2 985 |
3 079 | 3 070 |
3 054 | 3 061 |
3 089 | 2 947 |
3 006 | 3 035 |
3 323 | 3 042 |
2 944 | 3 261 |
3 099 | 3 410 |
3 387 | 3 396 |
3 073 | 3 229 |
3 517 | 3 191 |
2 668 | 3 091 |
3 025 | 3 322 |
3 096 | 3 291 |
3 349 | 2 883 |
2 851 | 2 902 |
2 943 | 3 286 |
3 430 | 3 209 |
3 274 | 2 997 |
3 212 | 3 335 |
2 663 | 3 033 |
2 968 | 3 286 |
2 738 | 3 376 |
2 701 | 3 322 |
3 296 | 3 074 |
2 887 | 3 049 |
2 849 | 3 042 |
3 001 | |
3 209 | |
2 693 | |
2 888 | |
3 303 |
The prototypes are not significantly different at the 0.05 level, because t_stat > -1.99 and t_stat < 1.99
The prototypes are significantly different at the 0.05 level, because t_stat < -1.66
The prototypes are not significantly different at the 0.05 level, because t_stat < 1.99
The prototypes are not significantly different at the 0.05 level, because t_stat <1.66
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