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BIG-Bench Extra Hard (BBEH) / I have a table with 30 rows (including the header) and 18 columns. The table was…
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I have a table with 30 rows (including the header) and 18 columns. The table was converted to markdown format as follows: | date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 2025-01-27| 3418 | 87 | 83 | 429 | 21:24| 31 | 1 | 6 | 523 | Mon | 810 | 9 | 19 | ERROR| 2510 | 41 | 50 | | 2025-01-26| 13037| 68 | 21 | null | 21:50| ERROR| 5 | 4 | null | Tue | ERROR| 5 | 44 | 7 | 618 | 24 | ERROR | | 2025-01-25| 3956 | 20 | 36 | null | null | 54 | 4 | 6 | null | Wed | 695 | 9 | 51 | 3 | 2571 | 11 | ERROR | | 2025-01-24| 9822 | 11 | 47 | 377 | 22:39| ERROR| 4 | 8 | 724 | Thu | 1643 | 10 | 40 | 6 | 2321 | 40 | 18 | | 2025-01-23| ERROR| 84 | 85 | 478 | 23:26| 49 | 6 | null | 427 | ERROR| ERROR| 5 | 13 | 4 | 955 | 34 | 53 | | 2025-01-22| 1940 | ERROR| 11 | null | 22:41| 79 | 7 | 4 | 169 | Sat | 1589 | 15 | 10 | 2 | ERROR| 28 | ERROR | | 2025-01-21| 14960| 21 | null | null | 23:38| 84 | 1 | 4 | 767 | Sun | 1183 | 7 | 43 | 7 | 2656 | 50 | 33 | | 2025-01-20| 422 | 49 | 25 | 328 | null | 42 | 8 | 6 | 420 | null | 1121 | 4 | 58 | 4 | 1116 | 57 | 47 | | 2025-01-19| 7722 | 53 | ERROR| ERROR| 22:21| 82 | ERROR| null | 544 | ERROR| 1392 | 1 | 39 | null | 1725 | 50 | null | | 2025-01-18| 16525| 67 | 68 | null | 23:50| 62 | 4 | 1 | 827 | Wed | 1078 | 4 | 54 | 4 | null | 10 | 26 | | 2025-01-17| 19860| 84 | 69 | 477 | 23:36| 39 | ERROR| 7 | 779 | null | 630 | 12 | 52 | ERROR| 2158 | 58 | 43 | | 2025-01-16| 19014| 83 | 46 | 355 | null | 15 | 6 | 3 | 332 | Fri | 1731 | 1 | 58 | 9 | 1937 | 35 | 33 | | 2025-01-15| 1515 | null | 95 | 387 | 22:36| 46 | null | 10 | 745 | Sat | 1422 | 4 | ERROR| 3 | 1460 | 34 | 13 | | 2025-01-14| null | 27 | ERROR| null | 23:25| 67 | 6 | 5 | 704 | Sun | 799 | null | 25 | 6 | 2921 | 44 | 36 | | 2025-01-13| 18002| 72 | 14 | 337 | 22:47| ERROR| 3 | 8 | 882 | null | 1888 | null | 3 | 9 | 2095 | 35 | 49 | | 2025-01-12| 1318 | 85 | 39 | ERROR| 23:21| 52 | 1 | 5 | 628 | Tue | ERROR| 12 | 53 | 7 | 1442 | 47 | 54 | | 2025-01-11| 8968 | ERROR| 65 | 317 | 21:28| 18 | 1 | 2 | ERROR| null | ERROR| 15 | 3 | 9 | 666 | 48 | 57 | | ERROR| 11650| 91 | 53 | 446 | 21:20| ERROR| 7 | 3 | 548 | Thu | 628 | 2 | 56 | 4 | 2218 | 11 | 29 | | 2025-01-09| ERROR| 40 | ERROR| 497 | 21:59| 52 | 6 | null | 362 | Fri | ERROR| 3 | 14 | 5 | 1273 | 48 | 47 | | 2025-01-08| 15720| ERROR| 69 | 587 | 23:25| null | 2 | 5 | 236 | Sat | 517 | 11 | 49 | 3 | ERROR| 12 | ERROR | | 2025-01-07| 11275| 99 | 48 | 315 | 22:49| null | 9 | 2 | ERROR| Sun | ERROR| null | ERROR| 2 | 1784 | 41 | 12 | | 2025-01-06| ERROR| 72 | 85 | 495 | 23:17| 34 | 5 | 3 | 766 | null | 1358 | 7 | 48 | null | 1405 | 47 | 29 | | 2025-01-05| 11207| 77 | 93 | 469 | 23:49| ERROR| 10 | 4 | 464 | Tue | 1231 | 11 | 10 | null | 2055 | 34 | 36 | | 2025-01-04| 19388| 59 | 22 | 315 | 21:38| 53 | ERROR| null | ERROR| null | 790 | 1 | null | ERROR| 2541 | 34 | 57 | | 2025-01-03| 16953| 62 | null | 496 | ERROR| 29 | 7 | 7 | 698 | Thu | 712 | null | ERROR| 6 | ERROR| 53 | 40 | | ERROR| 17445| 50 | 15 | 593 | ERROR| 57 | 1 | null | null | Fri | ERROR| 5 | 63 | 7 | 1674 | null | null | | 2025-01-01| 12688| 47 | 32 | 510 | 21:59| 85 | 10 | 10 | 568 | Sat | 592 | 11 | 10 | 6 | 1974 | 19 | 35 | | 2024-12-31| 297 | 65 | 37 | ERROR| 23:14| 90 | 4 | 8 | null | Sun | 1691 | 15 | 53 | 5 | null | 56 | ERROR | | 2024-12-30| 8629 | 78 | 46 | ERROR| 22:35| 62 | null | 1 | 172 | null | 312 | 13 | 6 | ERROR| 2151 | ERROR| 11 |. However, the code to convert the table into markdown format was buggy and mistakenly replaced some values with "ERROR". The values for those cells in row-order are respectively as follows: [9, 10, null, 12, null, 51, 1439, Fri, 1423, 79, 1974, 35, 79, 579, 6, Tue, 4, 9, 60, 84, 69, 314, 1980, 97, 747, 1605, 2025-01-10, null, null, 41, 711, 59, 2665, 22, 580, 1882, 59, 1654, 95, 7, 420, null, null, 22, 2966, 2025-01-02, 22:40, 330, null, 50, 536, 6, 29]. Compute the absolute difference between the mean of column music_listening_minutes and column exercise_minutes, only looking at the days where the number of calls was greater than 2 and the number of steps was less than 17000. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be "0".
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