Knowledge (XXG)

Midhinge

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in the late 1970s, and "midhinge" is a fairly modern term dating from around that time. The midhinge is slightly simpler to calculate than the
240:{\displaystyle \operatorname {MH} (X)={\overline {Q_{1,3}(X)}}={\frac {Q_{1}(X)+Q_{3}(X)}{2}}={\frac {P_{25}(X)+P_{75}(X)}{2}}=M_{25}(X)} 633: 594: 545:{\displaystyle \operatorname {MH} (X)=2\operatorname {TM} (X)-\operatorname {med} (X)=2{\frac {Q_{1}+2Q_{2}+Q_{3}}{4}}-Q_{2}} 314:. The two are complementary in sense that if one knows the midhinge and the IQR, one can find the first and third quartiles. 322: 359: 311: 261: 251: 561: 29: 590: 33: 332: 628: 622: 566: 44: 318: 40: 17: 609: 613: 36: 317:
The use of the term "hinge" for the lower or upper quartiles derives from
255: 25: 326: 352:), which originated in the same context and equals the average of the 353: 420: 362: 335: 264: 56: 544: 403: 344: 302: 239: 254:(IQR), the difference of the third and first 8: 536: 517: 504: 488: 481: 419: 404:{\displaystyle {\tilde {X}}=Q_{2}=P_{50}} 395: 382: 364: 363: 361: 334: 294: 281: 263: 222: 194: 172: 165: 141: 119: 112: 82: 75: 55: 578: 24:is the average of the first and third 7: 14: 303:{\displaystyle IQR=Q_{3}-Q_{1}} 250:The midhinge is related to the 472: 466: 454: 448: 433: 427: 369: 234: 228: 206: 200: 184: 178: 153: 147: 131: 125: 100: 94: 69: 63: 32:. Equivalently, it is the 25% 1: 104: 650: 634:Exploratory data analysis 587:Exploratory Data Analysis 323:exploratory data analysis 310:), which is a measure of 28:and is thus a measure of 546: 405: 346: 312:statistical dispersion 304: 241: 547: 406: 347: 305: 242: 585:Tukey, J. W. (1977) 418: 411:) and the midhinge. 360: 333: 262: 54: 252:interquartile range 589:, Addison-Wesley. 562:Interquartile mean 542: 401: 345:{\displaystyle TM} 342: 300: 237: 527: 372: 213: 160: 107: 641: 597: 583: 551: 549: 548: 543: 541: 540: 528: 523: 522: 521: 509: 508: 493: 492: 482: 410: 408: 407: 402: 400: 399: 387: 386: 374: 373: 365: 351: 349: 348: 343: 309: 307: 306: 301: 299: 298: 286: 285: 246: 244: 243: 238: 227: 226: 214: 209: 199: 198: 177: 176: 166: 161: 156: 146: 145: 124: 123: 113: 108: 103: 93: 92: 76: 649: 648: 644: 643: 642: 640: 639: 638: 619: 618: 606: 601: 600: 584: 580: 575: 558: 532: 513: 500: 484: 483: 416: 415: 391: 378: 358: 357: 331: 330: 290: 277: 260: 259: 218: 190: 168: 167: 137: 115: 114: 78: 77: 52: 51: 12: 11: 5: 647: 645: 637: 636: 631: 621: 620: 617: 616: 605: 604:External links 602: 599: 598: 577: 576: 574: 571: 570: 569: 564: 557: 554: 553: 552: 539: 535: 531: 526: 520: 516: 512: 507: 503: 499: 496: 491: 487: 480: 477: 474: 471: 468: 465: 462: 459: 456: 453: 450: 447: 444: 441: 438: 435: 432: 429: 426: 423: 398: 394: 390: 385: 381: 377: 371: 368: 341: 338: 297: 293: 289: 284: 280: 276: 273: 270: 267: 248: 247: 236: 233: 230: 225: 221: 217: 212: 208: 205: 202: 197: 193: 189: 186: 183: 180: 175: 171: 164: 159: 155: 152: 149: 144: 140: 136: 133: 130: 127: 122: 118: 111: 106: 102: 99: 96: 91: 88: 85: 81: 74: 71: 68: 65: 62: 59: 13: 10: 9: 6: 4: 3: 2: 646: 635: 632: 630: 627: 626: 624: 615: 611: 608: 607: 603: 596: 595:0-201-07616-0 592: 588: 582: 579: 572: 568: 565: 563: 560: 559: 555: 537: 533: 529: 524: 518: 514: 510: 505: 501: 497: 494: 489: 485: 478: 475: 469: 463: 460: 457: 451: 445: 442: 439: 436: 430: 424: 421: 414: 413: 412: 396: 392: 388: 383: 379: 375: 366: 355: 339: 336: 328: 324: 320: 315: 313: 295: 291: 287: 282: 278: 274: 271: 268: 265: 257: 253: 231: 223: 219: 215: 210: 203: 195: 191: 187: 181: 173: 169: 162: 157: 150: 142: 138: 134: 128: 120: 116: 109: 97: 89: 86: 83: 79: 72: 66: 60: 57: 50: 49: 48: 46: 42: 38: 35: 31: 27: 23: 19: 586: 581: 316: 249: 21: 15: 567:L-estimator 321:'s work on 45:L-estimator 43:; it is an 623:Categories 573:References 319:John Tukey 41:midsummary 18:statistics 614:MathWorld 530:− 464:⁡ 458:− 446:⁡ 425:⁡ 370:~ 288:− 256:quartiles 105:¯ 61:⁡ 37:mid-range 26:quartiles 610:H-spread 556:See also 30:location 22:midhinge 327:trimean 39:or 25% 34:trimmed 593:  354:median 258:(i.e. 20:, the 629:Means 591:ISBN 612:at 461:med 16:In 625:: 443:TM 422:MH 397:50 224:25 196:75 174:25 58:MH 47:. 538:2 534:Q 525:4 519:3 515:Q 511:+ 506:2 502:Q 498:2 495:+ 490:1 486:Q 479:2 476:= 473:) 470:X 467:( 455:) 452:X 449:( 440:2 437:= 434:) 431:X 428:( 393:P 389:= 384:2 380:Q 376:= 367:X 356:( 340:M 337:T 329:( 296:1 292:Q 283:3 279:Q 275:= 272:R 269:Q 266:I 235:) 232:X 229:( 220:M 216:= 211:2 207:) 204:X 201:( 192:P 188:+ 185:) 182:X 179:( 170:P 163:= 158:2 154:) 151:X 148:( 143:3 139:Q 135:+ 132:) 129:X 126:( 121:1 117:Q 110:= 101:) 98:X 95:( 90:3 87:, 84:1 80:Q 73:= 70:) 67:X 64:(

Index

statistics
quartiles
location
trimmed
mid-range
midsummary
L-estimator
interquartile range
quartiles
statistical dispersion
John Tukey
exploratory data analysis
trimean
median
Interquartile mean
L-estimator
ISBN
0-201-07616-0
H-spread
MathWorld
Categories
Means
Exploratory data analysis

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