实验一、随机区组设计和拉丁方设计分析

实验一、随机区组 设计 领导形象设计圆作业设计ao工艺污水处理厂设计附属工程施工组织设计清扫机器人结构设计 和拉丁方设计分析 实验一、随机区组设计和拉丁方设计分析 一、随机区组设计分析 1. 用二氧化硅50mg对大鼠染尘后，测量不同时期全肺湿重的变化。试验采用完全随机平衡设计，单因素3个水平(数据文件为ExpDesLab_1.xls)。 1)用Anova 方法 快递客服问题件处理详细方法山木方法pdf计算方法pdf华与华方法下载八字理论方法下载 比较3个时期(1月、3月、6月)的全肺湿重有无显著差别，列出方差分析 表 关于同志近三年现实表现材料材料类招标技术评分表图表与交易pdf视力表打印pdf用图表说话 pdf 。 2)对3个时期的全肺湿重进行多重比较(LSD、Tukey和Bonferroni)并对比较结果进行分析。 2. 研究4个不同油菜品种在发芽和苗期对田间水分含量的敏感性，试验共测定7个指标，分别为发芽势、发芽率、发芽指数、平均发芽天数、根系活力、叶绿素含量和过氧化物酶(POD)活性。试验采用完全随机区组设计，2个水分水平，3个区组(数据文件为ExpDesLab_1.xls)。 1)用Anova方法对7个指标的数据进行分析，列出方差分析表，从中找出哪些指标对于4个品种来说是存在显著差异的。 2)对各个指标的4个品种表现进行多重比较(LSD、Tukey、Scheffe和Bonferroni方法)。 3)根据上面的分析结果，找出一个比较抗水渍的油菜品种(发芽势、发芽率、发芽指数、根系活力、叶绿素含量和过氧化物酶活性越高，平均发芽天数越短，品种越抗水渍)。 二、拉丁方设计分析 为研究5个不同剂量的甲状腺提取液对豚鼠甲状腺重的影响，考虑到鼠的种系和体重对观测指标可能有一定的影响，设计试验时，最好将这,个重要的非处理因素一并安排。所以试验采用拉丁方设计，数据如下: 甲状腺提取液的剂量(字母)与甲状腺重 (g/200g体重) 种系 I II III IV V 1 C 65 E 85 A 57 B 49 D 79 2 E 82 B 63 D 77 C 70 A 46 3 A 73 D 68 C 51 E 76 B 52 4 D 92 C 67 B 63 A 41 E 68 5 B 81 A 56 E 99 D 75 C 66 (1)采用Anova方法对上面的数据进行分析，列出方差分析表，分析各个因素的显著性。 (2)采用Tukey法比较5个不同剂量的甲状腺提取液对豚鼠甲状腺重的影响，列出分析结果并进行 说明 关于失联党员情况说明岗位说明总经理岗位说明书会计岗位说明书行政主管岗位说明书 。 Experiment I Analysis of Randomized Block Design and Latin Square Designs 1. Analysis of Randomized Block Design (1) Mice were treated with 50mg SiO, and then lung’s wet weight in different stages 2 were measured. Complete randomized design was used in the experiment, including single factor with 3 levels (data in ExpDesLab_1.xls). (a) Using ANOVA method to analyze significant difference of lung’s wet weight in 3 stages (1, 3, 6 month) and Listing ANOVA table. (b) Performing the multiple comparisons on the performance of 3 stages using LSD, Tukey and Bonferroni. Listing the compared results and explaining them. (2) Four varieties of rape were employed to study the sensitivity of different varieties on field water content during germination and seedling establishment. 7 parameters were obtained during experiment, including germination energy, germination percentage, germination index, mean germination day, root energy and POD. Randomize block design was used in experiment, including 2 level of water, 3 blocks (data in ExpDesLab_1.xls). (a) Using ANOVA method. List ANOVA table, analyze significance of each effects, and find out which indices have significant difference among 4 varieties. (b) Performing the multiple comparisons on the performance of four varieties under different indices, and comparing the methods of LSD, Tukey, Scheffe and Bonferroni. (c) Finding out which variety was relatively more resistance of waterlog according to the analysis result. 数据1 (data 1) 时期Time 肺重weight 1 3.3 1 3.6 1 4.3 1 4.1 1 4.2 1 3.3 3 4.4 3 4.4 3 3.4 3 4.2 3 4.7 3 4.2 6 3.6 6 4.4 6 5.1 6 5 6 5.5 6 4.7 数据2 (data 2) 品区平均发芽根系活叶绿素种 水份 组 发芽势 发芽率 发芽指数 天数 力 含量 POD var water blk ge gr gi agd re chl pod 1 1 1 68.02724 70.63029 27.95238 3.157303 0.07 1.407 0.107 1 1 2 65.64994 70.63029 26.79286 3.41573 0.174 1.207 0.092 1 1 3 69.7321 70.63029 27.13095 3.337079 0.146 1.079 0.1 1 2 1 68.86571 70.63029 26.43095 3.41573 0.098 1.25 0.117 1 2 2 71.56505 75.82118 28.18571 3.446809 0.38 1.29 0.09 1 2 3 65.64994 66.42182 24.37619 3.428571 0.031 1.314 0.124 2 1 1 57.41729 71.56505 21.22619 4.322222 0.433 1.164 0.098 2 1 2 65.64994 73.57006 22.93095 4.032609 0.323 1.367 0.083 2 1 3 47.86959 52.53503 15.90952 3.936508 0.426 1.496 0.077 2 2 1 64.15807 69.7321 22.2119 3.943182 0.425 1.257 0.092 2 2 2 60 74.65829 22.95 4.129032 0.464 1.324 0.077 2 2 3 53.1301 65.64994 20.05476 4.144578 0.339 1.364 0.091 3 1 1 60 63.43495 21.85 3.6875 0.257 1.028 0.089 3 1 2 65.64994 68.02724 25.3381 3.453488 0.134 1.344 0.069 3 1 3 66.42182 67.2135 24.63571 3.470588 0.192 1.165 0.081 3 2 1 64.15807 64.89591 23.30952 3.439024 0.188 1.088 0.114 3 2 2 61.34182 61.34182 23.34762 3.168831 0.129 1.253 0.091 3 2 3 64.89591 63.43495 23.86905 3.3125 0.178 1.163 0.104 4 1 1 33.21091 53.1301 14.7381 4.3125 0.316 1.332 0.07 4 1 2 33.83316 55.5501 15.16429 4.529412 0.532 1.292 0.07 4 1 3 36.2712 50.18488 13.5881 4.372881 0.2 1.306 0.08 4 2 1 39.81512 51.94327 14.8119 4.193548 0.07 1.353 0.061 4 2 2 34.4499 53.7288 14.55 4.553846 0.345 1.166 0.089 4 2 3 35.06156 50.18488 13.55714 4.40678 0.02 1.491 0.083 2(Analysis of Latin Square Designs An experiment about the effect of 5 different dose of hypothyroid extraction on the weight of hypothyroid in cavy was performed. There are 5 varieties each with 5 replications. And the affection on the result by the variety and weight of cavy should be considered in the experiment. (1) Using ANOVA method. List ANOVA table, analyze significance of each effects. (2) Using Tukey to compare the effect of 5 different dose of hypothyroid extraction on the weight of hypothyroid in cavy. List the compared results and explain them. Data: Dose of hypothyroid extraction and weight of hypothyroid (g/200g body weight) Variety I II III IV V 1 C 65 E 85 A 57 B 49 D 79 2 E 82 B 63 D 77 C 70 A 46 3 A 73 D 68 C 51 E 76 B 52 4 D 92 C 67 B 63 A 41 E 68 5 B 81 A 56 E 99 D 75 C 66