我想对比63组给药组和1组对照组之间是否有显著性差异,也就是63组给药组分别和对照组进行比较,而给药组之间不比较,请问我应该选择哪种统计学 ANOVA post-hoc 方法 以及 具体的怎么操作。 我用的是SPSS
如下列所示,希望大家尽力帮忙
0.709 | 1 |
0.639 | 1 |
0.375 | 1 |
0.312 | 1 |
0.281 | 2 |
0.306 | 2 |
0.428 | 2 |
0.432 | 2 |
0.273 | 3 |
0.291 | 3 |
0.297 | 3 |
0.291 | 3 |
0.348 | 4 |
0.32 | 4 |
0.409 | 4 |
0.39 | 4 |
0.33 | 5 |
0.352 | 5 |
0.397 | 5 |
0.382 | 5 |
0.275 | 6 |
0.26 | 6 |
0.318 | 6 |
0.272 | 6 |
0.433 | 7 |
0.364 | 7 |
0.297 | 7 |
0.317 | 7 |
0.249 | 8 |
0.267 | 8 |
0.273 | 8 |
0.253 | 8 |
0.202 | 9 |
0.195 | 9 |
0.198 | 9 |
0.213 | 9 |
0.276 | 10 |
0.262 | 10 |
0.229 | 10 |
0.209 | 10 |
1.941 | 11 |
0.635 | 11 |
0.464 | 11 |
0.445 | 11 |
0.419 | 12 |
0.431 | 12 |
0.441 | 12 |
0.421 | 12 |
0.397 | 13 |
0.347 | 13 |
0.335 | 13 |
0.298 | 13 |
0.321 | 14 |
0.33 | 14 |
0.307 | 14 |
0.315 | 14 |
0.297 | 15 |
0.33 | 15 |
0.405 | 15 |
0.433 | 15 |
0.437 | 16 |
0.438 | 16 |
0.521 | 16 |
0.442 | 16 |
0.433 | 17 |
0.545 | 17 |
0.583 | 17 |
0.384 | 17 |
0.376 | 18 |
0.393 | 18 |
0.439 | 18 |
0.492 | 18 |
0.417 | 19 |
0.392 | 19 |
0.458 | 19 |
0.608 | 19 |
0.345 | 20 |
0.305 | 20 |
0.304 | 20 |
0.368 | 20 |
1.958 | 21 |
1.664 | 21 |
0.435 | 21 |
0.293 | 21 |
0.432 | 22 |
0.924 | 22 |
0.384 | 22 |
0.399 | 22 |
0.254 | 23 |
0.284 | 23 |
0.266 | 23 |
0.282 | 23 |
0.645 | 24 |
1.019 | 24 |
0.875 | 24 |
0.72 | 24 |
0.342 | 25 |
0.375 | 25 |
0.417 | 25 |
0.425 | 25 |
0.284 | 26 |
0.285 | 26 |
0.355 | 26 |
0.405 | 26 |
0.391 | 27 |
0.396 | 27 |
0.469 | 27 |
0.423 | 27 |
0.285 | 28 |
0.276 | 28 |
0.323 | 28 |
0.32 | 28 |
0.287 | 29 |
0.228 | 29 |
0.307 | 29 |
0.353 | 29 |
0.325 | 30 |
0.341 | 30 |
0.389 | 30 |
0.367 | 30 |
0.271 | 31 |
0.297 | 31 |
0.327 | 31 |
0.368 | 31 |
0.37 | 32 |
0.358 | 32 |
0.427 | 32 |
0.432 | 32 |
0.371 | 33 |
0.372 | 33 |
0.384 | 33 |
0.386 | 33 |
0.461 | 34 |
0.382 | 34 |
0.578 | 34 |
0.395 | 34 |
0.419 | 35 |
0.405 | 35 |
0.396 | 35 |
0.346 | 35 |
0.481 | 36 |
0.339 | 36 |
0.305 | 36 |
0.305 | 36 |
0.463 | 37 |
0.483 | 37 |
0.35 | 37 |
0.367 | 37 |
0.352 | 38 |
0.359 | 38 |
0.405 | 38 |
0.424 | 38 |
1.657 | 39 |
1.284 | 39 |
0.463 | 39 |
1.842 | 39 |
0.366 | 40 |
0.375 | 40 |
0.321 | 40 |
0.300 | 40 |
0.435 | 41 |
0.433 | 41 |
0.475 | 41 |
0.455 | 41 |
0.48 | 42 |
0.476 | 42 |
0.562 | 42 |
0.829 | 42 |
0.31 | 43 |
0.295 | 43 |
0.316 | 43 |
0.395 | 43 |
0.34 | 44 |
0.326 | 44 |
0.377 | 44 |
0.399 | 44 |
0.609 | 45 |
0.372 | 45 |
0.450 | 45 |
0.414 | 45 |
0.393 | 46 |
0.397 | 46 |
0.435 | 46 |
0.47 | 46 |
0.389 | 47 |
0.407 | 47 |
0.383 | 47 |
0.393 | 47 |
0.290 | 48 |
0.281 | 48 |
0.284 | 48 |
0.284 | 48 |
0.402 | 49 |
0.451 | 49 |
0.375 | 49 |
0.408 | 49 |
1.251 | 50 |
0.993 | 50 |
0.736 | 50 |
0.569 | 50 |
0.346 | 51 |
0.364 | 51 |
0.305 | 51 |
0.291 | 51 |
0.33 | 52 |
0.337 | 52 |
0.397 | 52 |
0.401 | 52 |
0.439 | 53 |
0.388 | 53 |
0.408 | 53 |
0.360 | 53 |
0.338 | 54 |
0.309 | 54 |
0.325 | 54 |
0.502 | 54 |
0.273 | 55 |
0.255 | 55 |
0.328 | 55 |
0.327 | 55 |
0.547 | 56 |
0.452 | 56 |
0.366 | 56 |
0.396 | 56 |
0.365 | 57 |
0.363 | 57 |
0.415 | 57 |
0.428 | 57 |
0.292 | 58 |
0.340 | 58 |
0.275 | 58 |
0.270 | 58 |
0.451 | 59 |
0.428 | 59 |
0.417 | 59 |
0.336 | 59 |
0.383 | 60 |
0.317 | 60 |
0.316 | 60 |
0.275 | 60 |
0.651 | 61 |
0.49 | 61 |
0.535 | 61 |
0.493 | 61 |
0.043 | 62 |
0.042 | 62 |
0.04 | 62 |
0.039 | 62 |
0.274 | 63 |
0.268 | 63 |
0.284 | 63 |
0.278 | 63 |
0.319 | 64 |
0.330 | 64 |
0.301 | 64 |
0.314 | 64 |