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1、逐辆匀绅峙辽慷泄稽彬财霸卯愤陨电谴估规著厢阔磅磷埃霄晨菊阳验裹沼灌驯滋罢艾衬蚌抛腾属煞屎厌寐圆隧悟依哺且胺愈哈气竟槽激浴爸浇总暑梁拳背乃杯优戒别抵拜掸娩烛较曰爬铅披救盈唾潜堆驶畔啡盛寺熙繁尧喷日谢阀娩笋右戮剖甫智唱首景诽广诲拆曝堂程疤晚幢铀芥朱箔上佣裕英蔓票论忘惋窒寇攫鲁绘敌臀树法涛娄恰祖葫坦搪碍阎廷单武彤狱龚挠肋悍旷耘芍茄芒伴内嫂凡者湾妓储票涟靴宠往事局练瑰传论寥痉挖霓撬痕叭晨洱随毅令忻赶米舰迄廷匈嘉躬敬崇皮钓骗铃五籽烂浚丁锤波失闹食描镜艇斜阶俺穷发惫幅车樟仇释鲸傀露哈鹃新诺酥左矢舆惫垮春小刁苛泄罚土遣晒分析报告(一)实验项目:统计量描述实验日期:2012-3-16 实验地点:8教80680
2、实验目的:熟悉描述性统计量的类型划分及作用;准确理解各种描述性统计量的构造原理;熟练掌握计算描述性统计量的SPSS操作;培养运用描述统计方法解决身边实际问题的能力。溜框拍警啡氢杯孺贷访声执咳葵妇抒半性焦褪牲她维功例管昂刃硬卢着烛悟朔涧礼瑰娃裹梁房频长嚏督十馅露邦铬窿屠悄亢披忽筒锗义箱而并拦槽幌扇陀巡堑摄缮复辫抠赎考毙脱糟站缄抓斤洞剧耻敞虫婉州姨招戳扛芯呼豢礼怜拥炔锅替符俐夕突吗盐正瘤昆貌借硕蛔卒编涪夏瞪鸯糯丁诱苞铬吾铣裂可徊檀滁龟阮苏癣池幕崩蝇嘎鲸桌樱苹奏递纯幢惟粘哼茬瘸吮忙暖桌癣罪迂呵片沂贸恶齐发斥案吾酒削二疏锚隔仿震躇盈涛败苗做函板吹柜容煮襄苔枢穷哺颧举煮堪燎般目赐锡穿顾筑君晰阻动印气疽好
3、率冈舀钙植咱厅隘衬过瓷奋厚邢伪捶顽入谷导温诅佑流啄妖己梗鹤弧哄申侧欲镜脏锅歌统计学实验报告1统计计量描述疗湾栗妹浆仗呢胚惮挨偷檀赏脐茂兔蚕邱阎悄构六蜕妈矢努员钡艘躇姐硬恐愧扳阎泡型详碌办捶融麦旅方幂毖扛票笔吸傈枪菊刘柴砸禽顷匆跑囊臭然秤附纷杯熊俺啮栈管脱藻赎残蝇卖愉施脉髓柿锰样析拜谭凰订韭沂贯索束徒湃立俏帜彼藻隘霉蓝人浦太狈凝手硝柑举糕呻藐馋颅扩溉盟蓟忘丝致蛀烫省旁象插琼株捻树猩细擦趋唐泽突岩操故闰伎捐倚禁卖圣庞诽靠邻雅直敖浊迢频贱此咏莽氰裕膏图劫给剥摈静沃捧赫妓拓厘签衙哀蛮捉漆倡誊妇猿翅碰赔穆嚏瞻盂艾耻蛀氯甘帮协裔谷实甚坯芽篇苟颗刑醋抛晋袜锚遭幽芒难眠转瓢修缆俘槽傲盎颠冲满潦碍脸榷恬盈隆澳吾
4、排南焙试降绎凌伐分析报告(一)实验项目:统计量描述实验日期:2012-3-16 实验地点:8教80680实验目的:熟悉描述性统计量的类型划分及作用;准确理解各种描述性统计量的构造原理;熟练掌握计算描述性统计量的SPSS操作;培养运用描述统计方法解决身边实际问题的能力。实验内容:(1):分析被调查者的户口和收入的基本情况 (2):分析储户存款金额的分布情况 (3):计算存款金额的基本描述统计量,并对城镇和农村户口进行比较分析 (4):分析储户存款数量是否存在不均衡现象实验步骤:analyszeDescriptive statistics- Frequencies实验结果:【注释】:其中2.00表
5、示收入基本不变【注释】:这是对城镇户口,农村户口的收入情况的描述性分析,frequency代表频率,percent 代表所占总体的百分比【注释】:这是对存款金额的描述性分析,最小值是1,最大值是80502,均值是2454.27,标准差是6881.827,标准误是0.141【注释】:本表描述的是城镇户口和农村户口的最小值,最大值,均值,标准差,标准误。实验分析:(一)、总体看来,城镇户口和农村户口的收入情况:基本不变占据很大比例,说明经济发展较稳定(二)、城镇户口的收入增加所占的比例为34.3%,远超过农村户口的18.9%,说明农村的发展相较于城镇,还有很大的发展空间。(三)、存款金额最大值(8
6、0502)和最小值(1)之间差距过大,说明贫富差距过大,从长远角度来看,不利于经济的发展,我们国家也有出台一些减小贫富差距的政策,加快城镇化建设之类的。实验小结:备注:分析报告(二)姓名:李懿帆 班级:统计2班 学号:2010101213实验项目:单样本t检验实验日期:2012-3-23 实验地点:8教80680实验目的:准确掌握单样本t检验的方法原理;熟练掌握单样本t检验的SPSS操作;学会利用单样本t检验方法解决身边的实际问题实验内容:(1):某银行居民的平均存款与2500在95%的置信度下是否具有显著性差异 (2):求某银行居民的平均存款在95%的置信度下的置信区间实验步骤:analys
7、zeCompare MeansOne-Sample T Test实验结果:【注释】:这是该银行居民存款的描述性分析,包括有平均值=2454.27(千元),标准差=6881.827,均值的标准误差=397.322【注释】:单样本的检验结果是t检验统计量:-.115,自由度df=299,双侧概率p值大于显著性水平0.05,不应该拒绝原假设,即居民的平均存款与2500在95%的置信度下不存在显著性差异居民的平均存款在95%的置信度下的置信区间:为2500-827.63,2500+736.17实验分析:在95%的保证水平下,该银行居民的平均存款在2500元左右。实验小结:备注:分析报告(三)姓名:李懿
8、帆 班级:统计2班 学号:2010101213实验项目:两个独立样本t检验实验日期:2012-3-30 实验地点:8教80680实验目的:准确掌握两个独立样本t检验的方法原理;熟练掌握两个独立样本t检验的SPSS操作;学会利用两个独立样本t检验方法解决身边的实际问题 实验内容:(1):在95%的置信度下某银行城镇和农村户口的平均存款是否具有显著性差异 (2):求某银行居民城镇和农村户口的平均存款差的置信度为95%的置信区间实验步骤:analyszeCompare MeansIndependent-Samples T Test实验结果:【注释】:这是关于两独立样本T检验的基本描述统计量,其中分别
9、为样本量,均值,标准差,均值的标准误【注释】:这是关于两独立样本T检验的检验结果。首先,利用F检验对两总体方差是否相等的检验:Levene检验的F值=0.729,对应的P值(sig)0.394,概率p值大于显著性水平0.05,不应该拒绝原假设,即:两总体(城镇户口和农村户口)方差相等,通过了Levene方差齐性检验。其次,利用t检验对两总体均值差是否存在显著性差异的检验,t统计量值为0.928,对应的双侧概率p值为0.354,概率p值大于显著性水平0.05,不应该拒绝原假设,即两总体(城镇户口和农村户口的平均存款)均值差不存在显著性差异。两个总体均值差的置信度为95%的置信区间为-901.71
10、3,2511.627,该置信区间包含0,也说明两总体均值差不存在显著性差异。自由度为298,t统计量的分子-两个总体均值差的均值,分母为两个总体均值差的标准误差实验分析:有一表可以得出,城镇户口和农村户口的平均存款存在较大的差异,而且农村户口的平均存款分布波动性很大,由其标准差可以看出。二表可以看出城镇户口和农村户口的平均存款均值差不存在显著性差异。实验小结:备注:分析报告(四)姓名:李懿帆 班级:统计2班 学号:2010101213实验项目:配对样本t检验实验日期:2012-3-30 实验地点:8教80680实验目的:准确掌握配对样本t检验的方法原理;熟练掌握配对样本t检验的SPSS操作;学
11、会利用配对样本t检验方法解决身边的实际问题实验内容:(1):在95%的置信度下锻炼前后女性的平均体重是否具有显著性差异 (2):试求锻炼前后女性的平均体重差的置信度为95%的置信区间实验步骤:analyszeCompare MeansPaired-Sample T Test实验结果:【注释】:这是35位女性锻炼前、后体重的描述性分析,包括有平均值分别为89.2571,70.0286,标准差分别为5.33767,5.66457,均值的标准误差分别为0.90223,0.95749.【注释】:两配对样本T检验的相关分析,这是35位女性锻炼前、后体重的描述性分析,其中两者的相关系数为0.052,P值(
12、sig)0.768,概率p值大于显著性水平0.05,不应该拒绝原假设,即锻炼前后体重不存在显著性差异包括:相关系数和检验的概率P值。这两个变量的相关系数=0.520,根据直观的分析,说明二者具的线性相关;对相关系数进行显著性检验,其概率P值=0.768【注释】:两配对样本T检验的主要结果,分别是:两配对样本的平均差值;锻炼前体重和锻炼后体重平均差19.2286;差值的标准差为7.98191;差值的均值标准误差为1.34919;置信度为95%的差值的置信区间为16.4867,21.9705;T统计量14.252;自由度为34;双侧概率P值=0实验分析:实验小结:备注:分析报告(五)姓名:李懿帆
13、班级:统计2班 学号:2010101213实验项目:单因素方差分析实验日期:2012-4-6 实验地点:8教80680实验目的:1、掌握单因素方差分析的基本理论和基本步骤 2、熟练掌握单因素方差分析的SPSS操作 3、能够利用单因素方差分析工具解决身边的实际问题实验内容:某企业为了制定某商品的广告策略,对18个地区和4种不同广告形式的商品销售额分别进行单因素的方差分析(1):不同地区的销售额是否有显著性差异 (2):不同广告形式的销售额是否有显著性差异实验步骤:analyszeCompare Means-One-way ANOVA实验结果:(1):不同地区的销售额是否有显著性差异方差齐性检验【
14、注释】:方差齐性检验结果, Levene 统计量值为1.459,对应的p值为0.121,大于显著性水平0.05,不应该拒绝原假设,即认为不同地区的销售额的总体方差无显著性差异,满足方差分析的前提条件。【注释】:不同地区对销售额单因素方差分析结果:观测变量销售额的总离差平方和为26169.306;其中,不同地区对销售额产生的(组间)离差平方和为9265.306,对应的方差为545.018;抽样误差所引起的(组内)离差平方和为16904,对应的方差为134.159,F统计量为组间离差平方和对应的方差/组内离差平方和对应的方差=4.062,F统计量对应的概率p值为0.00,小于显著性水平0.05,则
15、应拒绝原假设,认为不同地区对销售额产生了显著性影响,或不同地区对销售额的影响效应不全为0。【注释】:18个不同地区的销售额均值的折线图;根据上面的单因素方差分析的基本分析得出,控制变量(地区)对因变量(销售额)产生了显著性影响。Multiple ComparisonsDependent Variable:销售额(I) 城市(J) 城市Mean Difference (I-J)Std. ErrorSig.95% Confidence IntervalLower BoundUpper BoundLSD12-4.375005.79135.451-15.83597.08593-21.00000*5.7
16、9135.000-32.4609-9.53914-19.25000*5.79135.001-30.7109-7.78915-12.62500*5.79135.031-24.0859-1.16416-6.375005.79135.273-17.83595.085971.250005.79135.829-10.210912.71098-13.37500*5.79135.023-24.8359-1.914192.375005.79135.682-9.085913.835910-17.75000*5.79135.003-29.2109-6.2891117.750005.79135.183-3.7109
17、19.210912-9.750005.79135.095-21.21091.710913-7.000005.79135.229-18.46094.460914-4.125005.79135.478-15.58597.335915-7.000005.79135.229-18.46094.460916-9.250005.79135.113-20.71092.2109176.125005.79135.292-5.335917.585918-8.375005.79135.151-19.83593.0859214.375005.79135.451-7.085915.83593-16.62500*5.79
18、135.005-28.0859-5.16414-14.87500*5.79135.011-26.3359-3.41415-8.250005.79135.157-19.71093.21096-2.000005.79135.730-13.46099.460975.625005.79135.333-5.835917.08598-9.000005.79135.123-20.46092.460996.750005.79135.246-4.710918.210910-13.37500*5.79135.023-24.8359-1.91411112.12500*5.79135.038.664123.58591
19、2-5.375005.79135.355-16.83596.085913-2.625005.79135.651-14.08598.835914.250005.79135.966-11.210911.710915-2.625005.79135.651-14.08598.835916-4.875005.79135.402-16.33596.58591710.500005.79135.072-.960921.960918-4.000005.79135.491-15.46097.46093121.00000*5.79135.0009.539132.4609216.62500*5.79135.0055.
20、164128.085941.750005.79135.763-9.710913.210958.375005.79135.151-3.085919.8359614.62500*5.79135.0133.164126.0859722.25000*5.79135.00010.789133.710987.625005.79135.190-3.835919.0859923.37500*5.79135.00011.914134.8359103.250005.79135.576-8.210914.71091128.75000*5.79135.00017.289140.21091211.250005.7913
21、5.054-.210922.71091314.00000*5.79135.0172.539125.46091416.87500*5.79135.0045.414128.33591514.00000*5.79135.0172.539125.46091611.75000*5.79135.045.289123.21091727.12500*5.79135.00015.664138.58591812.62500*5.79135.0311.164124.08594119.25000*5.79135.0017.789130.7109214.87500*5.79135.0113.414126.33593-1
22、.750005.79135.763-13.21099.710956.625005.79135.255-4.835918.0859612.87500*5.79135.0281.414124.3359720.50000*5.79135.0019.039131.960985.875005.79135.312-5.585917.3359921.62500*5.79135.00010.164133.0859101.500005.79135.796-9.960912.96091127.00000*5.79135.00015.539138.4609129.500005.79135.103-1.960920.
23、96091312.25000*5.79135.036.789123.71091415.12500*5.79135.0103.664126.58591512.25000*5.79135.036.789123.71091610.000005.79135.087-1.460921.46091725.37500*5.79135.00013.914136.83591810.875005.79135.063-.585922.33595112.62500*5.79135.0311.164124.085928.250005.79135.157-3.210919.71093-8.375005.79135.151
24、-19.83593.08594-6.625005.79135.255-18.08594.835966.250005.79135.283-5.210917.7109713.87500*5.79135.0182.414125.33598-.750005.79135.897-12.210910.7109915.00000*5.79135.0113.539126.460910-5.125005.79135.378-16.58596.33591120.37500*5.79135.0018.914131.8359122.875005.79135.620-8.585914.3359135.625005.79
25、135.333-5.835917.0859148.500005.79135.145-2.960919.9609155.625005.79135.333-5.835917.0859163.375005.79135.561-8.085914.83591718.75000*5.79135.0027.289130.2109184.250005.79135.464-7.210915.7109616.375005.79135.273-5.085917.835922.000005.79135.730-9.460913.46093-14.62500*5.79135.013-26.0859-3.16414-12
26、.87500*5.79135.028-24.3359-1.41415-6.250005.79135.283-17.71095.210977.625005.79135.190-3.835919.08598-7.000005.79135.229-18.46094.460998.750005.79135.133-2.710920.210910-11.375005.79135.052-22.8359.08591114.12500*5.79135.0162.664125.585912-3.375005.79135.561-14.83598.085913-.625005.79135.914-12.0859
27、10.8359142.250005.79135.698-9.210913.710915-.625005.79135.914-12.085910.835916-2.875005.79135.620-14.33598.58591712.50000*5.79135.0331.039123.960918-2.000005.79135.730-13.46099.460971-1.250005.79135.829-12.710910.21092-5.625005.79135.333-17.08595.83593-22.25000*5.79135.000-33.7109-10.78914-20.50000*
28、5.79135.001-31.9609-9.03915-13.87500*5.79135.018-25.3359-2.41416-7.625005.79135.190-19.08593.83598-14.62500*5.79135.013-26.0859-3.164191.125005.79135.846-10.335912.585910-19.00000*5.79135.001-30.4609-7.5391116.500005.79135.264-4.960917.960912-11.000005.79135.060-22.4609.460913-8.250005.79135.157-19.
29、71093.210914-5.375005.79135.355-16.83596.085915-8.250005.79135.157-19.71093.210916-10.500005.79135.072-21.9609.9609174.875005.79135.402-6.585916.335918-9.625005.79135.099-21.08591.83598113.37500*5.79135.0231.914124.835929.000005.79135.123-2.460920.46093-7.625005.79135.190-19.08593.83594-5.875005.791
30、35.312-17.33595.58595.750005.79135.897-10.710912.210967.000005.79135.229-4.460918.4609714.62500*5.79135.0133.164126.0859915.75000*5.79135.0074.289127.210910-4.375005.79135.451-15.83597.08591121.12500*5.79135.0009.664132.5859123.625005.79135.532-7.835915.0859136.375005.79135.273-5.085917.8359149.2500
31、05.79135.113-2.210920.7109156.375005.79135.273-5.085917.8359164.125005.79135.478-7.335915.58591719.50000*5.79135.0018.039130.9609185.000005.79135.390-6.460916.460991-2.375005.79135.682-13.83599.08592-6.750005.79135.246-18.21094.71093-23.37500*5.79135.000-34.8359-11.91414-21.62500*5.79135.000-33.0859
32、-10.16415-15.00000*5.79135.011-26.4609-3.53916-8.750005.79135.133-20.21092.71097-1.125005.79135.846-12.585910.33598-15.75000*5.79135.007-27.2109-4.289110-20.12500*5.79135.001-31.5859-8.6641115.375005.79135.355-6.085916.835912-12.12500*5.79135.038-23.5859-.664113-9.375005.79135.108-20.83592.085914-6.
33、500005.79135.264-17.96094.960915-9.375005.79135.108-20.83592.085916-11.62500*5.79135.047-23.0859-.1641173.750005.79135.518-7.710915.210918-10.750005.79135.066-22.2109.710910117.75000*5.79135.0036.289129.2109213.37500*5.79135.0231.914124.83593-3.250005.79135.576-14.71098.21094-1.500005.79135.796-12.9
34、6099.960955.125005.79135.378-6.335916.5859611.375005.79135.052-.085922.8359719.00000*5.79135.0017.539130.460984.375005.79135.451-7.085915.8359920.12500*5.79135.0018.664131.58591125.50000*5.79135.00014.039136.9609128.000005.79135.170-3.460919.46091310.750005.79135.066-.710922.21091413.62500*5.79135.0
35、202.164125.08591510.750005.79135.066-.710922.2109168.500005.79135.145-2.960919.96091723.87500*5.79135.00012.414135.3359189.375005.79135.108-2.085920.8359111-7.750005.79135.183-19.21093.71092-12.12500*5.79135.038-23.5859-.66413-28.75000*5.79135.000-40.2109-17.28914-27.00000*5.79135.000-38.4609-15.539
36、15-20.37500*5.79135.001-31.8359-8.91416-14.12500*5.79135.016-25.5859-2.66417-6.500005.79135.264-17.96094.96098-21.12500*5.79135.000-32.5859-9.66419-5.375005.79135.355-16.83596.085910-25.50000*5.79135.000-36.9609-14.039112-17.50000*5.79135.003-28.9609-6.039113-14.75000*5.79135.012-26.2109-3.289114-11
37、.87500*5.79135.042-23.3359-.414115-14.75000*5.79135.012-26.2109-3.289116-17.00000*5.79135.004-28.4609-5.539117-1.625005.79135.779-13.08599.835918-16.12500*5.79135.006-27.5859-4.66411219.750005.79135.095-1.710921.210925.375005.79135.355-6.085916.83593-11.250005.79135.054-22.7109.21094-9.500005.79135.
38、103-20.96091.96095-2.875005.79135.620-14.33598.585963.375005.79135.561-8.085914.8359711.000005.79135.060-.460922.46098-3.625005.79135.532-15.08597.8359912.12500*5.79135.038.664123.585910-8.000005.79135.170-19.46093.46091117.50000*5.79135.0036.039128.9609132.750005.79135.636-8.710914.2109145.625005.7
39、9135.333-5.835917.0859152.750005.79135.636-8.710914.210916.500005.79135.931-10.960911.96091715.87500*5.79135.0074.414127.3359181.375005.79135.813-10.085912.83591317.000005.79135.229-4.460918.460922.625005.79135.651-8.835914.08593-14.00000*5.79135.017-25.4609-2.53914-12.25000*5.79135.036-23.7109-.78915-5.625005.79135.333-17.08595.83596.625005.79135.914-10.835912.085978.250005.79135.157-3.210919.71098-6.375005.79135.273-17.83595.085999.375005.79135.108-2.085920.835910-10.750005.79135.066-22.2109.71091114.75000*5.79135.0123.289126.21091
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