Assignment ST - Statistics
Nutrition DATA Calories Age Fat Fiber Alcohol Cholesterol SmokeCODE Smoke Gender VitaminUse 2558.9 19 116.1 12.3 0 324.5 0 No Female Regular 1511.7 22 64.4 10.2 0 190.3 0 No Female No 2733 22 123.8 5.1 0.3 440.3 0 No Female Regular 2219.1 23 120.9 13.1 2 415.8 0 No Female Regular 3021.9 24 171 11.4 0.1 466.3 0 No Female No 928.4 25 29.7 6 0.5 120.7 0 No Female Occasional 1517.4 25 59.1 5.9 0 127.6 1 Yes Female Regular 1663.3 26 64.6 7.6 2 124.7 0 No Female No 1987.2 26 76.6 9.8 0 156.1 1 Yes Female Regular 1200.6 27 61.5 8.7 1.5 208.7 0 No Female No 1127.6 27 59.4 7.4 0 183.4 1 Yes Female No 2919.5 27 125.3 14.3 1 370 1 Yes Female Occasional 1600.9 28 68 14.2 0.2 171.2 0 No Female Occasional 1041.6 29 45.4 6 3 139.5 0 No Female Occasional 2237.4 29 77.6 22.6 0.7 180.6 0 No Female Regular 1631 29 55.6 13.8 0.5 189.5 0 No Female Regular 2476.2 29 121.1 14.3 0 263.5 1 Yes Female Occasional 1437.3 30 61.5 8.8 2.3 160.9 0 No Female No 2264.3 31 105.5 13.4 3.2 396.5 0 No Female Occasional 1646.2 31 52.2 13.2 5 174.9 0 No Female Regular 2729.6 31 144.4 13.2 2.2 381.8 0 No Female Regular 1456.5 31 56.6 8.5 1 182.7 1 Yes Female Occasional 1631.5 31 75.2 8.5 0.7 277.1 1 Yes Female Occasional 1678.2 32 54.3 12.9 1.5 147.3 0 No Female Occasional 3328.4 32 163.3 20 4.1 425.5 0 No Female Occasional 3511.1 32 114.7 13.9 0.2 444.7 0 No Female Occasional 2703.4 32 120.6 11.4 0.1 284.3 0 No Female Regular 1918.4 32 63.1 16.1 5 202.2 0 No Female Regular 2170.3 32 95.1 15.2 0.2 175.2 0 No Female Regular 1622.4 33 71.5 12.9 1 214.8 0 No Female No 3144.8 33 155 17.6 4.1 308.8 0 No Female Occasional 1878.2 33 81.6 9.6 4.9 265.8 0 No Female Occasional 1366.8 33 55.9 6.2 0 196 0 No Female Occasional 2814.6 33 111.2 16.8 0 399.3 0 No Female Occasional 1835.9 33 74.1 23 0.7 184.2 0 No Female Regular 3228 33 141.1 14.4 0 718.8 1 Yes Female No 2271.1 33 114.6 10.4 0 574.2 0 No Male Occasional 3457.2 33 166 17.5 10.5 452.8 0 No Male Regular 2062.7 34 81.1 13.6 18 190.5 0 No Female No 2118.1 34 93 20.1 0 170 0 No Female No 1076.2 34 52.7 6.1 0 78.3 1 Yes Female No 1148.7 34 41.7 9.8 1 173.4 1 Yes Female No 3103.7 34 124.7 18.1 8.3 431 1 Yes Female Regular 1800.5 35 57.8 20.3 0.6 233.6 0 No Female No 3114 35 160.2 14.9 0.2 432.3 0 No Female No 1884.8 35 91.6 11.1 5 518 0 No Female No 1555.6 35 72.8 11.5 0 174.1 0 No Female Occasional 2466.9 35 112.6 9.6 0.1 331.9 0 No Female Occasional 1575.5 35 53.9 7 1 216.2 1 Yes Female Regular 1887.4 36 110.2 6 0.1 211.7 0 No Female No 798.2 36 30.6 7.9 2.4 46.3 0 No Female No 2342.3 36 95.8 19.2 1.7 389.4 0 No Female Occasional 1240.7 36 50.9 6.9 0.3 116 0 No Female Occasional 1414.6 36 51.2 13.7 0 135.8 0 No Female Occasional 2838.8 36 88.5 24 4.5 252.4 0 No Female Occasional 2045.3 36 84.8 13.2 0.7 271.9 0 No Female Regular 1959.3 36 112.4 6.7 0.5 326.7 1 Yes Female No 1147.9 37 47.6 7.3 0.1 117 0 No Female No 1778.1 37 75.9 10.8 0.5 332.6 0 No Female Occasional 1653.2 37 77.3 12.5 1 162.6 0 No Female Occasional 1645.7 37 76 6.6 4 225.9 0 No Female Occasional 2094.5 37 78.9 17.3 1 193.4 0 No Female Occasional 2010.4 37 101.2 16 0.1 362.4 0 No Female Occasional 2035.5 37 65.7 22.1 0.7 205.3 0 No Female Regular 839 37 29.2 4.7 6.4 66.5 0 No Female Regular 1688.1 37 45 17.1 0.8 141.1 0 No Female Regular 1902.8 37 81.7 8.2 0 178.6 1 Yes Female No 1034.4 37 34.5 8.9 0 118.5 1 Yes Female Regular 1149 38 43.6 8.6 10.5 122.5 0 No Female No 1432.1 38 58.5 6.3 0.2 131.9 0 No Female No 2372.3 38 83.6 19.1 14.1 257.9 0 No Female Occasional 2190.7 38 96.9 17.7 1.3 192.1 0 No Female Occasional 1390.4 38 55.7 10.8 0 195.1 0 No Female Occasional 1619.3 38 83.7 8.4 0.5 310.1 0 No Female Occasional 1550 38 66.8 12.1 0 253.2 0 No Female Regular 2585.3 38 129.8 21.1 4 429.5 0 No Female Regular 1662.7 38 58.7 15.7 3.7 163.7 1 Yes Female No 1256.7 39 43.7 5.3 0.3 133.6 0 No Female No 1187.8 39 32.8 11.6 0 154.9 0 No Female Occasional 1719.3 39 49.7 18.4 11 164.6 0 No Female Occasional 1906.5 39 86.4 10.4 15.5 265.9 0 No Female Occasional 1368.9 39 61.6 14.4 6.7 314.9 0 No Female Regular 1829.2 39 79 15.6 0 178.4 0 No Female Regular 1951.4 39 109.1 4.7 0 461.1 1 Yes Male Regular 2449.5 40 97.5 26.5 0.5 332.6 0 No Female No 1366.9 40 56 9.6 1.3 154.6 0 No Female No 742.3 40 36.5 5.9 2.1 133.9 0 No Female No 1638.2 40 49.3 14.9 0 130.7 0 No Female Occasional 3014.9 40 165.7 14.4 0 900.7 0 No Female Regular 833 40 38.8 5.5 0 145.3 1 Yes Female Occasional 2431.9 40 93.7 17.8 0.1 364.6 0 No Male Regular 2419.3 41 122.7 16.2 0.3 325.2 0 No Female No 1808.4 41 61.5 10.5 17 176.1 0 No Female No 2046.9 41 103 13.1 0 334.2 0 No Female No 1823.7 41 54.7 14.6 0 188 0 No Female Occasional 1823 41 74.8 12.1 1.3 196.9 0 No Female Occasional 3258.3 41 101.2 26.2 0.5 341.7 0 No Female Regular 1372.7 41 61.6 9.5 0 182.5 0 No Female Regular 1197.7 41 54.5 4.9 0 135.6 0 No Female Regular 1496.7 41 64.6 5.9 1 239.8 0 No Female Regular 1102.8 41 56.6 5.3 0 329.8 1 Yes Female No 1444.6 41 89.1 6.8 0 280.1 1 Yes Female Occasional 1055 41 33.2 12.9 0.9 220 0 No Male Occasional 2685.1 41 133.1 11.1 15 432.4 1 Yes Male Regular 1051.2 42 44 10.9 0.2 165.5 0 No Female No 3099.2 42 134.9 19 0.8 469.3 0 No Female No 2347.3 42 104.4 12.5 0 249.3 0 No Female Regular 1737.4 42 62.1 16.3 0.2 211.7 0 No Female Regular 1730.1 42 58.3 16.6 4.5 196.1 0 No Female Regular 1434.9 42 59.3 11.2 0 281.1 0 No Female Regular 1084.3 42 25.2 21.8 1 105.7 1 Yes Female Regular 1785.4 42 94.1 10 0.7 288 0 No Male Regular 1786.9 43 93.9 10.6 0 247 0 No Female No 2075.9 43 96.5 17.3 7 271.8 0 No Female No 1695.3 43 62.4 17.7 0 147.3 0 No Female No 2038.5 43 80.7 17.1 0 232.3 0 No Female Occasional 3449.7 43 172.8 20.5 1.4 381.3 0 No Female Occasional 1472.7 43 61.8 12.2 0 216.3 0 No Female Regular 3711 43 202.7 14.9 18 469.2 0 No Female Regular 2501.6 43 121.1 19.5 0 343 0 No Female Regular 2000.8 43 86.7 14.8 0.9 200.9 0 No Female Regular 1626.3 43 72.2 7.9 0 157.5 0 No Female Regular 1220.9 44 35.1 14 0 99.2 0 No Female No 1148.5 44 50.3 7.1 0.1 139.2 0 No Female No 1292.6 44 49.4 10.4 1.2 186.5 0 No Female Occasional 2391.3 44 95.4 20.6 0 283.3 0 No Female Regular 1660.1 44 80.3 13.6 0.1 89 0 No Female Regular 1525.6 44 85.4 7.9 0.1 179.4 0 No Female Regular 1877.4 44 92.2 7.7 0.2 211.6 1 Yes Female No 1446.2 44 63.2 9.5 3.2 208.8 1 Yes Female Occasional 1427.2 44 60.6 8.3 0.2 195 1 Yes Female Occasional 3183.1 44 119.4 6.9 35 378.8 1 Yes Female Occasional 1810 44 95.3 17.5 0 253.1 1 Yes Female Regular 1126.7 45 20.4 12.5 7.2 71.8 0 No Female No 1366.6 45 42.5 12.9 2.5 141.2 0 No Female Occasional 1601.4 45 93.9 8.8 0 255.8 0 No Female Regular 1827.7 45 71.2 10.4 2 267.5 0 No Female Regular 2319 45 122.1 13.4 0.1 305.7 0 No Female Regular 1841.1 45 84.2 14.1 2.2 257.7 0 No Female Regular 1627 45 77.4 9.9 0.2 195.6 0 No Female Regular 1481.8 45 75.3 10.4 0.2 336.9 1 Yes Female Occasional 1546 46 73.6 10.3 7 284.8 0 No Female No 1182.9 46 60.2 5.2 0.2 164.5 0 No Female No 1207.1 46 42.8 11.6 0 155.1 0 No Female No 1342.2 46 69.7 5.9 1 215.4 0 No Female No 2263.6 46 98.2 19.4 2.6 306.5 0 No Female No 2052.4 46 120.4 10.2 0 195.2 0 No Female Occasional 1581.7 46 64.1 12.3 0.1 170.1 0 No Female Occasional 1422.8 46 58.3 7.8 7.1 206.3 0 No Female Occasional 740.6 46 38.5 5.3 0 113.9 0 No Female Occasional 1570.1 46 74.1 13.7 0.9 145.7 1 Yes Female No 2706.7 46 104.9 16.8 22 416 0 No Male No 2667.5 46 131.6 10.1 0 550.5 1 Yes Male No 2120.8 47 77.4 17 8.4 185.9 0 No Female No 1927.6 47 92.5 10.7 0 359.1 0 No Female No 1076.6 47 33.4 22.5 4.1 138.8 0 No Female Occasional 1612.5 47 45.5 9 15 149.9 0 No Female Regular 1600.7 48 77.7 11.2 7.2 180.1 0 No Female No 2021.1 48 72.2 16.6 9 299.1 0 No Female Occasional 2908.5 48 139.1 16.4 0.2 511.6 0 No Female Regular 2893.3 48 125.8 18.8 1.7 256.7 0 No Female Regular 1242.1 48 37.5 13.3 1 148.4 0 No Female Regular 445.2 48 14.4 5 0 102.8 0 No Female Regular 1849.8 48 80.6 13.8 3.2 549.1 0 No Female Regular 1738.9 48 63.5 12.2 0.5 205.9 0 No Female Regular 1010.6 49 29.4 9.1 6.2 98.8 0 No Female No 1469.9 49 50.4 12.1 0.7 118.8 0 No Female No 1656.3 49 59.5 13.3 0.1 180.3 0 No Female Occasional 1511.7 49 54.4 16.1 4.2 200.5 0 No Female Occasional 1292.8 49 43.1 10.6 11 180.7 0 No Female Occasional 1574 49 74.6 14.1 0 440.6 0 No Female Regular 1099.4 49 56.9 5.2 0.5 169.9 0 No Female Regular 3098.9 49 106.2 25.2 1.2 447.6 0 No Female Regular 2512 49 64.9 30.2 0.6 168.5 0 No Female Regular 1125.6 49 44.8 11.9 4 150.5 0 No Female Regular 784.4 49 40.6 4.9 3 97.4 1 Yes Female Regular 2825.8 49 97.8 7.5 35 374.3 0 No Male No 1902.9 50 72.9 35.4 7.3 175.6 0 No Female No 2012 50 112.9 14.3 6.5 456.9 0 No Female No 2106.4 50 97 12.9 0 344.3 0 No Female Occasional 1113 50 32.8 12.9 3 104.8 0 No Female Regular 2340.4 50 110.4 11.3 14 260.7 1 Yes Female No 2026 50 85.5 11.2 21 268.2 0 No Male Regular 1952.7 51 63.8 17.9 11 201.3 0 No Female No 1324 51 46 12.7 0 151 0 No Female No 2166.9 51 105.8 15.6 0 349.1 0 No Female Occasional 828.2 52 52.3 6.1 1.2 141.1 0 No Female No 1891.6 52 73.8 17.6 0 226 0 No Female No 1749.9 52 81.3 12.1 0 226.5 0 No Female Occasional 2083.9 52 93.1 8.8 0 328.1 0 No Female Regular 1248.6 53 56.9 8.2 0 223.2 0 No Female No 1276.5 53 50.1 9 4.7 143.5 0 No Female Occasional 1576.3 53 54.8 13.5 0.1 308.9 0 No Female Regular 1996.1 53 98.8 9.2 0 436.8 1 Yes Female Occasional 2798.2 53 125.9 17.7 7 239 1 Yes Male No 4373.6 54 235.9 22.9 0.1 814.7 0 No Female Regular 1580.6 54 82.9 9.4 5.2 98.3 0 No Female Regular 1724.7 54 75.1 18.2 0 173.3 0 No Female Regular 1392.2 54 47.8 12.9 0 87.5 0 No Female Regular 1263.6 55 39.6 15.5 0 171.9 0 No Female No 2272.6 55 94.5 10.9 14.2 269.2 0 No Female No 2328.3 55 112.6 13.9 2.9 281.9 0 No Female Occasional 2307.8 55 111 18.4 3.4 487.8 0 No Female Occasional 1162.5 55 54 5.6 0.2 175.2 1 Yes Female No 1896.1 55 82.2 9.3 10 296.8 0 No Male No 1566.5 56 95.2 6.5 7.2 408 0 No Female No 2225.1 56 111.5 10.4 6.8 283.7 0 No Female No 1436.8 56 57.2 9.4 0 183.3 0 No Female Regular 1830 56 52.8 13.8 8.5 689.4 0 No Female Regular 1494.5 56 59.1 6.8 0 111.5 0 No Female Regular 1743.8 56 85.3 13.2 7.2 349.6 1 Yes Female No 2433.6 56 127.6 19.9 7.1 271.2 0 No Male No 2210.7 56 113.1 10.5 6.1 340.1 0 No Male No 2712.7 56 145.3 13.4 8 242.6 0 No Male Occasional 1288.7 57 63.2 10.6 0 200.2 0 No Female Regular 2513.3 57 98.9 10.6 0 428.1 0 No Female Regular 2072.9 57 106.7 9.6 0.9 420 0 No Male No 1101.4 57 48.5 8.5 5 197.2 0 No Male No 1538.1 58 78.7 14.2 0.9 231.2 0 No Female Occasional 2186.2 58 99.3 14.9 0.2 263.8 0 No Female Occasional 1595.6 58 63.4 10.9 0 214.1 0 No Female Regular 1249.6 59 24.2 14.7 0 97.2 0 No Female Regular 1546.6 59 72.9 15.1 0.7 192.8 0 No Female Regular 2192.3 59 78.7 14.2 0 173.5 0 No Female Regular 659.3 60 22.2 7 0.1 102 0 No Female No 1327 60 64.8 9.3 0.1 341 0 No Female No 1333.8 60 37.1 16.9 6.5 84 0 No Female Occasional 2114.8 60 77.6 14.9 0.5 239.9 0 No Female Regular 1506.7 60 76.3 14.6 0 239.2 1 Yes Female No 1570.1 61 58.7 19.3 2 158.3 0 No Female No 2837.3 61 84.2 33.8 0 192.1 0 No Female Regular 2115.4 62 84.1 23.9 0 189.5 0 No Female No 1323 62 60.8 11.4 0 155.8 0 No Female Occasional 1588.1 62 88.9 7.4 0 362.6 0 No Female Regular 1823 62 80.3 17.4 6.2 256.8 0 No Female Regular 1751.1 62 80.7 8.4 14.1 160.3 0 No Male Regular 1655.9 63 70.8 15.1 0.1 177.3 0 No Female No 1282.3 63 26.4 13.6 0.1 100.6 0 No Female Regular 1008.4 64 35.4 5.6 14 37.7 0 No Female No 2055.7 64 114.4 13 0 248.4 0 No Female Occasional 1298.8 64 57 6.3 0 170.3 0 No Female Regular 1828 64 63.4 14.7 0 87.9 0 No Female Regular 2319.9 64 97.6 22.3 0 155.3 0 No Female Regular 2868.5 64 128.8 15 20 379.5 0 No Male No 1747.6 65 83.6 10.9 0 244.8 0 No Female No 1276 65 60.5 12 3.5 87.3 0 No Female No 2213.9 65 52 28.7 0 255.1 0 No Female Occasional 1446.2 65 56.8 10.8 0 127.9 0 No Female Regular 2055.9 65 111.8 15.9 0 226.5 0 No Male No 1220.7 65 34.6 16.5 5.6 152.8 0 No Male No 6662.2 65 164.3 11.3 203 603 1 Yes Male No 3184.8 66 199 16.8 0.2 362.6 0 No Female No 958.5 66 37.7 8.3 0 108.6 0 No Female No 2086.6 66 72.3 16 0 112.8 0 No Female No 1563.7 66 73.3 12 1.1 300.9 0 No Female Occasional 1762.1 66 72.9 16.5 0 240.3 0 No Female Occasional 1460.8 66 58 18.2 1 137.4 0 No Female Regular 987.5 66 35.6 10.3 0 254.9 0 No Female Regular 1574.3 66 75 7.1 0 361.5 0 No Male No 1902.4 66 76.7 17.7 3.1 216.7 0 No Male Regular 849.2 67 25.4 10.9 0 91.7 0 No Female Regular 1049.2 67 44.6 9.6 0 247.2 0 No Female Regular 2021.2 67 94.8 13.3 8 417.6 0 No Male No 1628.5 68 78.6 11.6 0 512.3 0 No Female No 1174.7 69 47.4 9.9 0.1 89.9 0 No Female No 2332.2 69 109.6 19.7 0.1 286.7 0 No Female No 1756.4 69 82.3 8.8 0 500.3 0 No Male No 1711.4 69 98.2 10.8 0.3 332.4 0 No Male Occasional 827.9 69 32.8 8.7 0 79.8 0 No Male Regular 2654.9 69 126 23.3 0 248 1 Yes Male No 2017.2 70 136 7.6 0 195.8 0 No Female No 1387.7 70 55.2 11.2 0 114 0 No Female Occasional 1235.9 70 51.1 9.6 3 142 0 No Female Regular 2005.8 70 89.5 8.5 0.1 121.2 0 No Female Regular 1730.6 70 72.9 14.4 0.2 363.1 0 No Female Regular 1514.4 70 51.7 14.2 7 97.5 1 Yes Female No 1397.4 70 60.5 9.2 0 228.5 0 No Male No 1399.5 71 66.5 9.6 8 260 0 No Female No 1305.4 71 43.3 10.2 0 72.7 0 No Female Regular 1215.8 71 43.8 12.3 5 110.8 0 No Female Regular 1285.8 71 55.4 10.6 2 353.4 0 No Male No 1850.5 71 75.9 16.1 7.2 247.9 0 No Male No 1247.7 72 46.8 10.2 0 347.9 0 No Female No 1952.1 72 82.6 16.2 0 170.8 0 No Female Regular 1111.9 72 47.2 10.2 0.2 69.4 0 No Female Regular 976.7 72 68.4 3.1 0 99.6 0 No Female Regular 840.6 73 34.3 8.2 0.1 81.1 0 No Female No 853.1 73 29.8 6.3 10 160.5 0 No Female Occasional 1186.4 73 46.1 10.5 1.5 119.7 0 No Female Regular 1678.5 73 82.3 6.3 14.1 249.5 1 Yes Female Occasional 2833.7 73 119.9 14.6 18.2 365 0 No Male No 1666.8 73 76.5 13.3 0 747.5 0 No Male Regular 2453.5 73 118.5 10.3 0 516.5 1 Yes Male No 818.1 74 34.3 6.6 3.7 55.4 0 No Female No 1718.9 74 57.9 15 1.2 272.7 0 No Female Occasional 1202 74 46.6 11.4 0 59.2 0 No Female Regular 1512.1 74 73.8 8.7 5.7 182.8 0 No Female Regular 1241 74 53.1 10.8 0.1 206.1 1 Yes Female No 1837 74 76.9 13.6 0 383.6 0 No Male No 2171.6 74 76.6 20.4 0 176.3 0 No Male No 1380.6 75 54.5 13.5 0.1 201.6 0 No Female Occasional 1396.8 75 53.3 13.2 3.2 99.3 0 No Female Regular 1049.1 75 51.7 8 0 188.9 0 No Female Regular 2511.5 75 92.3 36.8 0.6 228.3 0 No Female Regular 1407.6 75 35 20.8 7 144.1 0 No Male Regular 1032.5 76 50.1 15.8 0 75.8 0 No Female Regular 866.9 77 31 9.8 0.2 59.7 0 No Female Regular 1481.4 77 55 11.2 0 191.7 0 No Female Regular 2075.2 77 75.6 21.4 0 228.8 0 No Male Occasional 647.7 78 30.9 3.7 0 87.5 0 No Female Occasional 1531.6 78 69.5 5.4 0 168 0 No Female Regular 1708.1 82 94.2 15.1 2 224.7 0 No Female Regular 1331.2 83 50.6 7.7 0.3 380.7 0 No Female Occasional 1933.6 83 98.8 11.1 0 224.7 0 No Male Regular 1534.7 83 54.9 26.3 0 77.5 0 No Male Regular Variable INFO A random sample of 315 patients involved in a nutrition study. Source Variables Calories Age Age in years Fat Fiber Alcohol Cholesterol Smoke 1=Yes 0=No Gender (Male, Female) VitaminUse (Regular, Occasional, No) Q1 Q1 There is a general perception that males intake of average calories is significantly higher than that of females. The data below has been extracted form the Original data. Female Male Q1A Write the null and alternate hypotheses. 2449.5 2072.9 What test would you use and why? 1366.9 1574.3 1800.5 2868.5 1263.6 1101.4 1628.5 2433.6 1437.3 2055.9 Q1B Conduct the test and explain the results. 2062.7 1285.8 1786.9 1896.1 2419.3 1220.7 1147.9 2833.7 1248.6 1756.4 3184.8 2021.2 1566.5 1837 1902.9 2706.7 1247.7 2825.8 818.1 1397.4 1570.1 1850.5 1126.7 2210.7 1747.6 2171.6 1887.4 2712.7 2225.1 1055 1952.7 1711.4 1256.7 2075.2 958.5 2271.1 2075.9 1751.1 1663.3 1407.6 1010.6 827.9 1546 1902.4 1324 3457.2 1220.9 2026 1174.7 1785.4 828.2 1666.8 1182.9 1933.6 1207.1 2431.9 1622.4 1534.7 3114 6662.2 2012 2798.2 1149 2654.9 659.3 2667.5 1884.8 2453.5 742.3 1951.4 1148.5 2685.1 1432.1 1051.2 2017.2 1342.2 1511.7 1200.6 1891.6 2118.1 1600.7 840.6 2120.8 1008.4 798.2 3099.2 1399.5 1655.9 3021.9 2086.6 2272.6 1469.9 2332.2 1808.4 2115.4 1695.3 1276 1327 1927.6 2046.9 2263.6 2372.3 2213.9 1638.2 1276.5 1323 3144.8 1778.1 1538.1 1656.3 1333.8 2190.7 1878.2 1331.2 2052.4 2264.3 2186.2 1653.2 1076.6 1511.7 1823.7 2328.3 1645.7 1563.7 1718.9 1187.8 928.4 1387.7 1555.6 1581.7 1719.3 2106.4 1366.6 1678.2 1390.4 1749.9 2342.3 1292.8 2038.5 1366.8 1240.7 2814.6 3328.4 1414.6 1380.6 2094.5 1823 1041.6 2010.4 2055.7 1906.5 1422.8 740.6 1292.6 3449.7 1619.3 1600.9 647.7 2166.9 2307.8 3511.1 853.1 2466.9 1762.1 2838.8 2021.1 1298.8 1032.5 1952.1 1595.6 1460.8 987.5 2114.8 1113 2837.3 2035.5 1396.8 1588.1 1111.9 1472.7 2237.4 2908.5 1436.8 2893.3 1531.6 1823 3258.3 2558.9 839 2391.3 1202 1235.9 866.9 3711 2733 1660.1 1830 1574 1646.2 1828 1288.7 1601.4 1372.7 2005.8 1446.2 976.7 1368.9 1708.1 4373.6 1305.4 1249.6 2347.3 1688.1 2501.6 2219.1 1827.7 1282.3 2000.8 1546.6 1580.6 1242.1 1099.4 1049.1 1494.5 445.2 1849.8 1730.6 1738.9 3098.9 2319.9 1550 1612.5 1576.3 1197.7 2045.3 2513.3 1737.4 2083.9 1730.1 1496.7 1525.6 2703.4 1434.9 2192.3 1626.3 1512.1 1481.4 1829.2 2585.3 3014.9 1631 2319 2511.5 1918.4 1186.4 1724.7 2170.3 2512 849.2 1392.2 1215.8 1835.9 1049.2 1841.1 1125.6 2729.6 1627 Q2 Q2 Some analyst wants to see if the intake of calories varies significantly among various age groups as given below. Age Groups 16-25 26-35 36-45 46-55 56-65 66 -75 76 Plus Q2A Write the null and alternate hypotheses. 2558.9 1663.3 1887.4 1546 1566.5 1574.3 1032.5 What methodology would you use to test the hypothesis? Why? 1511.7 1987.2 798.2 1182.9 2225.1 1902.4 866.9 2733 1200.6 2342.3 1207.1 1436.8 849.2 1481.4 2219.1 1127.6 1240.7 1342.2 1830 1049.2 2075.2 3021.9 2919.5 1414.6 2263.6 1494.5 2021.2 647.7 928.4 1600.9 2838.8 2052.4 1743.8 1628.5 1531.6 1517.4 1041.6 2045.3 1581.7 2433.6 1174.7 1708.1 Q2B One of the key assumption is that the variances are equal. 2237.4 1959.3 1422.8 2210.7 2332.2 1331.2 Please conduct that test. 1631 1147.9 740.6 2712.7 1756.4 1933.6 2476.2 1778.1 1570.1 1288.7 1711.4 1534.7 1437.3 1653.2 2706.7 2513.3 827.9 2264.3 1645.7 2667.5 2072.9 2654.9 Q2C Assuming that you found in part B that the variances are equal, 1646.2 2094.5 2120.8 1101.4 2017.2 Run the test for the hypothesis in part A. 2729.6 2010.4 1927.6 1538.1 1387.7 1456.5 2035.5 1076.6 2186.2 1235.9 1631.5 839 1612.5 1595.6 2005.8 Q2 D Interpret the test results 1678.2 1688.1 1600.7 1249.6 1730.6 3328.4 1902.8 2021.1 1546.6 1514.4 3511.1 1034.4 2908.5 2192.3 1397.4 2703.4 1149 2893.3 659.3 1399.5 1918.4 1432.1 1242.1 1327 1305.4 2170.3 2372.3 445.2 1333.8 1215.8 1622.4 2190.7 1849.8 2114.8 1285.8 3144.8 1390.4 1738.9 1506.7 1850.5 1878.2 1619.3 1010.6 1570.1 1247.7 1366.8 1550 1469.9 2837.3 1952.1 2814.6 2585.3 1656.3 2115.4 1111.9 1835.9 1662.7 1511.7 1323 976.7 3228 1256.7 1292.8 1588.1 840.6 2271.1 1187.8 1574 1823 853.1 3457.2 1719.3 1099.4 1751.1 1186.4 2062.7 1906.5 3098.9 1655.9 1678.5 2118.1 1368.9 2512 1282.3 2833.7 1076.2 1829.2 1125.6 1008.4 1666.8 1148.7 1951.4 784.4 2055.7 2453.5 3103.7 2449.5 2825.8 1298.8 818.1 1800.5 1366.9 1902.9 1828 1718.9 3114 742.3 2012 2319.9 1202 1884.8 1638.2 2106.4 2868.5 1512.1 1555.6 3014.9 1113 1747.6 1241 2466.9 833 2340.4 1276 1837 1575.5 2431.9 2026 2213.9 2171.6 2419.3 1952.7 1446.2 1380.6 1808.4 1324 2055.9 1396.8 2046.9 2166.9 1220.7 1049.1 1823.7 828.2 6662.2 2511.5 1823 1891.6 1407.6 3258.3 1749.9 1372.7 2083.9 1197.7 1248.6 1496.7 1276.5 1102.8 1576.3 1444.6 1996.1 1055 2798.2 2685.1 4373.6 1051.2 1580.6 3099.2 1724.7 2347.3 1392.2 1737.4 1263.6 1730.1 2272.6 1434.9 2328.3 1084.3 2307.8 1785.4 1162.5 1786.9 1896.1 2075.9 1695.3 2038.5 3449.7 1472.7 3711 2501.6 2000.8 1626.3 1220.9 1148.5 1292.6 2391.3 1660.1 1525.6 1877.4 1446.2 1427.2 3183.1 1810 1126.7 1366.6 1601.4 1827.7 2319 1841.1 1627 1481.8 Q3 Q3 Conduct the Tukey- Kramer test to determine which age groups consume calories significantly different from each other. Q4 Q4 Now you want to explore if a regression model could be developed to predict calories in take based on the relevant variables in the data. Q4A Run a correlation matrix involving all numerical variables in the data. Q4B Run simple regression with most promising variable to predict calories. Make sure that you click on residual plots and normality curve. Q4C Test all four assumptions of regression analysis. Q5 Q5 Going back to the correlation matrix, add more independent variables as appropriate to determine the best regression model. Explain why the model selected is the best. Q6 Q6 One analyst is curious if one can predict using this data if someone is a smoker. To this end, she wants you to develop a logistic regression model using only the numerical variables. A Develop such a model using age, Fat and alcohol. B Remove the insignificant variables ad rerun the logistic regression. C Assuming some reasonable values of the significant variables, calculate the probability of predicting of someone is a smoker. Q7 Q7 A What kinds of non-parametric tests can you conduct on this data? Please explain the purpose of each of the tests suggested. B Going back to questions 2, could we have done two way ANOVA analyses? If so, how? (You do not need to do any analysis.) C What kind of Chi-Square tests could you do using the nutrition data? (You do not need to do any analysis.) \% Polygons 2 Groups Histogram Freq & \% Distribution Frequency Distribution for Calories bins Midpts. Frequency Percentage -0.01 -- 0 0.00\% 999.99 500 20 6.35\% 1999.99 1500 194 61.59\% 2999.99 2500 83 26.35\% 3999.99 3500 16 5.08\% 4999.99 4500 1 0.32\% 5999.99 5500 0 0.00\% 6999.99 6500 1 0.32\% Total 315 100.00\%
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Your assignment may be more than 5 paragraphs but not less. INSTRUCTIONS:  To access the FNU Online Library for journals and articles you can go the FNU library link here:  https://www.fnu.edu/library/ In order to n that draws upon the theoretical reading to explain and contextualize the design choices. Be sure to directly quote or paraphrase the reading ce to the vaccine. Your campaign must educate and inform the audience on the benefits but also create for safe and open dialogue. A key metric of your campaign will be the direct increase in numbers.  Key outcomes: The approach that you take must be clear Mechanical Engineering Organic chemistry Geometry nment Topic You will need to pick one topic for your project (5 pts) Literature search You will need to perform a literature search for your topic Geophysics you been involved with a company doing a redesign of business processes Communication on Customer Relations. Discuss how two-way communication on social media channels impacts businesses both positively and negatively. Provide any personal examples from your experience od pressure and hypertension via a community-wide intervention that targets the problem across the lifespan (i.e. includes all ages). Develop a community-wide intervention to reduce elevated blood pressure and hypertension in the State of Alabama that in in body of the report Conclusions References (8 References Minimum) *** Words count = 2000 words. *** In-Text Citations and References using Harvard style. *** In Task section I’ve chose (Economic issues in overseas contracting)" Electromagnetism w or quality improvement; it was just all part of good nursing care.  The goal for quality improvement is to monitor patient outcomes using statistics for comparison to standards of care for different diseases e a 1 to 2 slide Microsoft PowerPoint presentation on the different models of case management.  Include speaker notes... .....Describe three different models of case management. visual representations of information. They can include numbers SSAY ame workbook for all 3 milestones. You do not need to download a new copy for Milestones 2 or 3. When you submit Milestone 3 pages): Provide a description of an existing intervention in Canada making the appropriate buying decisions in an ethical and professional manner. Topic: Purchasing and Technology You read about blockchain ledger technology. Now do some additional research out on the Internet and share your URL with the rest of the class be aware of which features their competitors are opting to include so the product development teams can design similar or enhanced features to attract more of the market. The more unique low (The Top Health Industry Trends to Watch in 2015) to assist you with this discussion.         https://youtu.be/fRym_jyuBc0 Next year the $2.8 trillion U.S. healthcare industry will   finally begin to look and feel more like the rest of the business wo evidence-based primary care curriculum. Throughout your nurse practitioner program Vignette Understanding Gender Fluidity Providing Inclusive Quality Care Affirming Clinical Encounters Conclusion References Nurse Practitioner Knowledge Mechanics and word limit is unit as a guide only. The assessment may be re-attempted on two further occasions (maximum three attempts in total). All assessments must be resubmitted 3 days within receiving your unsatisfactory grade. You must clearly indicate “Re-su Trigonometry Article writing Other 5. June 29 After the components sending to the manufacturing house 1. In 1972 the Furman v. Georgia case resulted in a decision that would put action into motion. Furman was originally sentenced to death because of a murder he committed in Georgia but the court debated whether or not this was a violation of his 8th amend One of the first conflicts that would need to be investigated would be whether the human service professional followed the responsibility to client ethical standard.  While developing a relationship with client it is important to clarify that if danger or Ethical behavior is a critical topic in the workplace because the impact of it can make or break a business No matter which type of health care organization With a direct sale During the pandemic Computers are being used to monitor the spread of outbreaks in different areas of the world and with this record 3. Furman v. Georgia is a U.S Supreme Court case that resolves around the Eighth Amendments ban on cruel and unsual punishment in death penalty cases. The Furman v. Georgia case was based on Furman being convicted of murder in Georgia. Furman was caught i One major ethical conflict that may arise in my investigation is the Responsibility to Client in both Standard 3 and Standard 4 of the Ethical Standards for Human Service Professionals (2015).  Making sure we do not disclose information without consent ev 4. Identify two examples of real world problems that you have observed in your personal Summary & Evaluation: Reference & 188. Academic Search Ultimate Ethics We can mention at least one example of how the violation of ethical standards can be prevented. Many organizations promote ethical self-regulation by creating moral codes to help direct their business activities *DDB is used for the first three years For example The inbound logistics for William Instrument refer to purchase components from various electronic firms. During the purchase process William need to consider the quality and price of the components. In this case 4. A U.S. Supreme Court case known as Furman v. Georgia (1972) is a landmark case that involved Eighth Amendment’s ban of unusual and cruel punishment in death penalty cases (Furman v. Georgia (1972) With covid coming into place In my opinion with Not necessarily all home buyers are the same! When you choose to work with we buy ugly houses Baltimore & nationwide USA The ability to view ourselves from an unbiased perspective allows us to critically assess our personal strengths and weaknesses. This is an important step in the process of finding the right resources for our personal learning style. Ego and pride can be · By Day 1 of this week While you must form your answers to the questions below from our assigned reading material CliftonLarsonAllen LLP (2013) 5 The family dynamic is awkward at first since the most outgoing and straight forward person in the family in Linda Urien The most important benefit of my statistical analysis would be the accuracy with which I interpret the data. The greatest obstacle From a similar but larger point of view 4 In order to get the entire family to come back for another session I would suggest coming in on a day the restaurant is not open When seeking to identify a patient’s health condition After viewing the you tube videos on prayer Your paper must be at least two pages in length (not counting the title and reference pages) The word assimilate is negative to me. I believe everyone should learn about a country that they are going to live in. It doesnt mean that they have to believe that everything in America is better than where they came from. It means that they care enough Data collection Single Subject Chris is a social worker in a geriatric case management program located in a midsize Northeastern town. She has an MSW and is part of a team of case managers that likes to continuously improve on its practice. The team is currently using an I would start off with Linda on repeating her options for the child and going over what she is feeling with each option.  I would want to find out what she is afraid of.  I would avoid asking her any “why” questions because I want her to be in the here an Summarize the advantages and disadvantages of using an Internet site as means of collecting data for psychological research (Comp 2.1) 25.0\% Summarization of the advantages and disadvantages of using an Internet site as means of collecting data for psych Identify the type of research used in a chosen study Compose a 1 Optics effect relationship becomes more difficult—as the researcher cannot enact total control of another person even in an experimental environment. Social workers serve clients in highly complex real-world environments. Clients often implement recommended inte I think knowing more about you will allow you to be able to choose the right resources Be 4 pages in length soft MB-920 dumps review and documentation and high-quality listing pdf MB-920 braindumps also recommended and approved by Microsoft experts. The practical test g One thing you will need to do in college is learn how to find and use references. References support your ideas. College-level work must be supported by research. You are expected to do that for this paper. You will research Elaborate on any potential confounds or ethical concerns while participating in the psychological study 20.0\% Elaboration on any potential confounds or ethical concerns while participating in the psychological study is missing. Elaboration on any potenti 3 The first thing I would do in the family’s first session is develop a genogram of the family to get an idea of all the individuals who play a major role in Linda’s life. After establishing where each member is in relation to the family A Health in All Policies approach Note: The requirements outlined below correspond to the grading criteria in the scoring guide. At a minimum Chen Read Connecting Communities and Complexity: A Case Study in Creating the Conditions for Transformational Change Read Reflections on Cultural Humility Read A Basic Guide to ABCD Community Organizing Use the bolded black section and sub-section titles below to organize your paper. For each section Losinski forwarded the article on a priority basis to Mary Scott Losinksi wanted details on use of the ED at CGH. He asked the administrative resident