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- Day Revenue Occupied 1 1452 32 2 1361 20 3 1426 21 4 1470 25 5 1456 26 6 1430 23 7 1354 20 8 1442 39 9 1394 15 10 1459 50 11 1399 41 12 1458 35 13 1537 41 14 1425 31 15 1445 51 16 1439 62 17 1348 45 18 1450 41 19 1431 62 20 1446 47 21 1485 43 22 1405 38 23 1461 36 24 1490 60 25 1426 6518 10 20 6. 21 8. 30 10 25 26 7. 19 29 9. 31 10 55 32 4. 28 3. 23 2. 24 32How many wolves were there in 1980? *
- 85. 53 to 123 – 53 8. Digital Resources at PearsonRealize.comAn automotive part must be machined to close tolerances to be acceptable to customers. Production specifications call for a maximum variance in the lengths of the parts of 0.0004. A quality control sample produced the data in the Microsoft Excel Online file below. Using a = 0.05, test to see whether the population variance specification is being violated. X Open spreadsheet 1. Formulate the null and alternative hypotheses for this application. Ho: 0² Ha: 0² 2. Test statistic = 3. The p-value is 4. Conclusion: 5. Test results: Check My Work ↑ î (to 2 decimals) Reset Problem ŵ ↑
- 141% v Zoom Add Page Insert Table Chart Text Shape Media Comment Collaborate Format Document 13! 6227020800 14! 87178291200 This document has missing fonts. Show 15! 1307674368000 16! 20922789888000 17! 355687428096000 18! 6402373705728000 19! 121645100408832000 20! 2432902008176640000 2) After a recent bank robbery, three eyewitnesses reported seeing a man with glasses flee the scene. The police suspect Ricky and make up an identity parade of five men with glasses. Ricky takes his place in the parade alongside four randomly chosen stooges. Two of the eyewitnesses identify Ricky and the third points to one of the stooges. What's the probability that Ricky would have been chosen by two of the three eyewitnesses if each witness had chosen completely at random? Solve this problem using the Binomial Probability Mass Function. (Tip: This problem will be easier to solve if you first find p, the probability of success on any one trial; in other words, the probability of a single eyewitness…An experiment was performed to determine whether different types of chocolate take different amounts of time to dissolve. Forty people were divided into five groups. Each group was assigned a certain type of chocolate. Each person dissolved one piece of chocolate, and the dissolve time (in seconds) was recorded. For comparison, each person in each group also dissolved one piece of butterscotch candy; these pieces were identical for all groups. The data, which include the group, the dissolve times for both chocolate and butterscotch, the difference between the dissolve times, and the ratio of the dissolve times, are presented in the following table. Note that the design is slightly unbalanced; group 3 has nine people and group 5 has only seven. Group Chocolate Butterscotch Difference Ratio 60 135 75 2.25 865 635 230 1.36 122 63 59 1.94 110 75 35 1.47 71 37 34 1.92 81 58 23 1.40 2405 1105 1300 2.18Interpret the Coefficient of Determination New Cases New Deaths 1765 4 1097 5 891 4 959 6 937 58 1047 26 1353 9 1776 8 1952 34 1906 8 2052 11 1524 139 1453 146 1912 40 2048 137 2058 8 1895 11 2163 14 1357 69 1862 64 1783 74 2178 20 1797 54 1949 53 1581 50 1173 94 2245 95 1169 71 1849 48 2109 71 2103 80 1658 58 1583 67 1266 68 1590 55 1894 61 1941 52 1790 70 1690 52 1235 65 1345 114 1734 68 2022 26 1960 12 1928 8 1685 2 1391 7 1184 53 1744 96 1901 157 2240 239 1888 20 2288 6 1414 16 1557 22 2269 72 2651 46 2921 42 2113 29 2037 4 2067 47 1783 20 2452 15 3045 19 3439 42 3276 51 3356 5 2668 7 2886 17 3749 63 4578 87 5000 72 4899 63 5404 8 4437 11 4387 18 5290 21 7103 13 7999 30 7757 39 8019 4 5867 20 6666 47 8773 56 9838 54 9595 10 9475 11 10016 16 9296 5 6128 106
- 19 Males Females85 7877 9648 5760 6850 5562 8155 7876 8651 8864 5572 3760 6563 8680 7780 7863 6468 6398 7840 6283 6770 8462 8375 6870 7655 8466 8953 8779 9272 9066 9566 6897 9060 8064 8157 7459 5565 10171 7484 7858 79Student ID Math Score Project Score Age (years) Sex 001254 52 75 15 M 003256 78 89 15 F 001547 92 82 18 F 012589 91 66 17 M 021475 72 93 14 M 032658 46 76 13 M 009561 68 76 14 F 008654 52 82 12 F 008561 83 75 16 M 003547 45 78 14 F 047452 73 96 14 M 041212 64 79 13 F 032320 41 67 13 F 000258 77 72 15 F 001478 82 75 17 M 019521 59 83 15 M 017451 80 71 17 F 016335 48 76 13 M 002474 57 80 14 F 095844 97 71 18 F 097304 86 86 17 M 090024 75 85 15 F 034702 81 80 16 F 001910 67 74 14 F 006454 86 77 17 M 087478 63 82 13 M 078474 68 79 14 F 000977 54 89 12 M 063010 91 73 18 M 007406 46 77 15 F 025740 93 85 17 M…Male Female 27,767 20,516 17,413 24,972 6,080 4,900 28,523 17,661 25,137 11,901 9,821 17,562 21,857 9,865 16,491 21,047 27,687 12,095 23,361 20,089 12,272 16,244 9,584 14,395 13,562 15,467 23,151 23,501 20,071 5,715 142 19,698 21,957 21,640 8,722 18,345 21,058 16,616 17,940 15,249 15,001 28,849 20,938 6,825 6,151 17,111 8,370 4,197 27,687 12,989 11,589 16,879 12,021 13,322 13,709 20,292 12,888 19,417 17,879 14,061 13,743 32,349 11,268 8,738 22,102 10,475 16,788 11,971 10,387 28,702 13,809 22,947 15,644 16,386 11,044 20,101 17,933 20,564 11,413 14,483 11,842 17,349 6,794…