统计学基础(第五版)各章练习题答案人大版

经典word整理文档，仅参考，转Word此处可删除页眉页脚。本资料属于网络整理，如有侵权，请联系删除，谢谢！第1章统计和数据（1）数值变量。（2）分类变量。（3名第2章数据的收集（略）第3章数据的整理与展示）%ABCDE1家电服务业质量评价的频数分布）43））99）2255662333330252015105数个泡灯0000000000067890123456666777777~~~~~~~~~~使用寿命000000000056789012346666677灯泡使用寿命的直方图7771814568134679112333455588990011112223344556667788889900112234566677888900223356778890122567899356147368565051000-5505-1---2～012223344岁4树茎数据个数013424425976788669603AB比AA优良中5优63良648209910M。010。中位数：中位数位置5.52e226nx24ix9.6。i1n47n10位置Q5.5。）Q2.5，24425%25%12123n3Q12。Q7.5，24475%75%）n(xx)2(29.6)(49.6)9.6)9.6)2222isn11156.494.2和19M23。M和00n112223Mn25。e190.2519)19。）Q位置6.25，Q4425%25%325Q位置18.75，Q250.7527-2526.5。475%75%nxi。xi1nn(xx)2924)524)24)(2324)2222isn116.651x2431.08。SKi(252)6.6537225(25(x24)3(x24)(25420.77。Kii(252)(256.654茎5叶513567134885.56.67.87.8637。）x997)(6.67)(7.87)(7.87)4.0882222s0.714。911.970.7140.274v0.102vvv；7.271212（4总成本2100300015006600甲企业的平均成本19.41。210030001500总产量34015203032551500..2932551500）f）MMfiiii8—kMfiix426.67。i1n(Mx)2(Mx)f2Mfiiiii—kMx2f1614666.7iis116.48。n11201（1（2（3550.1v男0.08v5060女602.213250110s52.211s52.211xx1到2到9xxAxxBzA1；z0.5。ABssBABA1BABAZ304.104.2vs0.024；172.12.50.035；v71.3s4.11（17A于其他两种方法。从离散程度来看，三种方法的离散系数分别为：2.772.131.75vA0.013v0.014v0.022法A165.6128.73125.53BC。4.12（210（3第5章抽样与参数估计5n40x250.051.96，，，，z。25样本均值的抽样标准差0.79。xn5Ez1.55。1.96402n15n49x1200.051.96，，，，z。2样本均值的抽样标准差2.14。xn15Ez4.20。1.96492n的xz1.964.202n0.051.96n100，85414x104560，，，z。2的xz1.9616741.14487818.856，2n100x81s120.1，z1.645。n，，，0.12100n的sxz2n0.051.96，z。2100n的11sxz2nz2.580.01，。2的n100sxz2.583.096n2500n15x89000.05，，，，z1.96。2的xz1.96253.03500n35x89000.05，，2n，，z1.96。235的nxz1.96165.653589005000.1，2nx，，nsz1.645。0.12的n35sxz139.033589005000.01，2n，，，nxsz2.58。235的nsxz2.58218.052n1.645z、1.96、为n36z0.122z2.58。21236，3.32s1.61。xnsxz2ns1.61xz3.321.963.320.532ns1.61xz3.322.583.320.692n160.05为小样本，，已知：总体服从正态分布，但未知，nt2.131。2，9.375s4.113。xsxt2.1312.1912n，0.05，1.96。n36x，z2n36s1.93xz149.51.96149.50.632n、nn302n2nx500.05，（1nz1.96。2，101.32s1.63。xs1.63xz1.96101.322n45p的5013pp)0.9)pz0.90.92n180.1为小样本，，已知：总体服从正态分布，但未知，nt1.7400.12。，13.56s7.80。xs7.80xt213.5613.563.20n，0.01，2.58。n44p0.51，z2的pp)pz0.510.512nn300p0.82，0.05，z1.96。，2的pp)0.82)pz0.820.820.042nn1150p0.48，0.1z1.645，，。0.12的pp)pz0.02，即（，2n1.645，，，为和n200p0.23z0.12。z1.962的pp)pz2n的pp)pz2n141000E200，0.01，z2.58。2(z)2222。n2E220.020.400.042.05E，，，z。2(z))0.40)22n2。E21.9620.040.05E，，z。2。(z))0.50)22n2。E21.64520.050.550.1En，，，z。0.12(z))222。E22325050p，0.640.05，z1.96。n，2pp)0.64)pz2n0.800.051.96。，，z2(z))0.80)22。n2E20.12第6章假设检验（1:1035，于以前提高了”，所以原假设与备择假设应为：H0H:。1（2（315:14H:。H，01（2（3:65H:。）H，01（2（3（2x/1.645z0（1z，nH。06.3562.94（2z1.19/622.0z0.01，z2.33xz2.5<）。12/24.00.83z>（2）x＝z12/0.011623.5x1.25z>（3）＝z12/0.010.0122.8x1.83z>（4）＝z12/xxzz或H。00s/ns/n014.2z1.13。5/:100H:H，；013.0z25/9:0.618H:；H，01t1.93/。:p0.25H:p0.25npnp)）H（2）z和。01000.251.39(2.33)<z>1.96z17第7章相关与回归分析用产生100050100150产量产量与生产费用的散点图0.920232r。10000010000200003000040000人均GDP人均GDP与人均消费水平的散点图0.998128r回归统计MultipleRRSquare0.9981280.99625918AdjustedRSquare标准误差0.995511247.30357观测值方差分析dfSSMSFSignificanceF2.91E-07回归残差总计1814449698144496930579561159.01817507641331.69256Coefficients734.6928标准误差139.54030.008459tStatP-valueIntercept5.26509436.492360.0032852.91E-07XVariable10.308683ˆˆ734.69280.308683x0.308683y11R20.996259.:0H:0H，01110.05ˆ734.69280.30868350002278.1078）y50000.05(72)2.571247.3035t，s2e1(xx)2ˆyts002ennxx2()ii1112248.42857)22278.10782.571247.30357854750849.72278.1078287.4191yts1(xx)2002enn()xx2ii1122.57117）140120100数20406080100航班正点率航班正点率与投诉次数的散点图回归统计MultipleRRSquare0.8686430.754540.72385818.8872210AdjustedRSquare标准误差观测值方差分析dfSSMSFSignificanceF0.001108回归分析残差18772.5848772.58424.5918782853.81611626.4356.727总计920标准误差CoefficientstStatP-valueIntercept430.189272.154835.9620290.000337XVariable1-4.700620.947894ˆ430.18924.7x4.7-4.959020.001108ˆy10.05ˆ430.18924.78054.1892）y0.052)2.306s18.88722，t2e1(xx)2ˆyts002enn()xx2ii1175.86)254.18922.30618.8872210397.02454.189216.4811n(xx)2ˆyts002en()xx2ii1121MultipleRRSquare0.79510.63220.61172.685820AdjustedRSquare标准误差观测值21方差分析dfSSMSFSignificanceF2.79889E-05回归残差总计1223.1403223.140330.933218129.845219352.98557.2136Coefficients标准误差tStatP-value0.00000.0000Intercept49.31770.24923.80500.044812.96125.5618XVariable1由上表结果可知，出租率与月租金之间的线性回归方程为：ˆyˆ49.31770.2492x0.249211。R263.22%s2.6858e0.050.05FF1—————SSR1422708.6020.866086.60%（2）rSST1642866.67rr2。）ˆˆx1.420211）y10.0522第8章时间序列分析和预测1891389158917891989119913991599179919991.76110.21YG11113.55%113.55%。n18nY035876446601891F630.331933营业额误差平方0.4295283322355286379381431424473295.0291.4300.6316.9307.6329.0344.6370.5386.6295.0290.2302.9323.8308.7336.8354.5385.1400.7144.01011.22712.31425.24949.01954.55856.21514.45234.4295.0289.0305.5330.3308.1343.6362.3396.6410.334565093.12699.47459.62857.87468.6789103928.7231112470481449544601587644660—412.5429.8445.1446.3475.6513.2535.4567.9—429.6445.8459.9455.5490.9534.9555.8591.1—441.7455.8468.4458.7501.4551.2569.1606.5—803.1633.513376.9149547.415724.55443.211803.78473.487514.77830.212120.52709.87785.24752.762992.57274.89929.41283.35611.72857.55023615161718合计0.3F0.36600.3)567.9595.5。0.4F0.46600.4)591.1618.7。0.5F0.56600.5)606.5633.3。0.5Ytt。财1891389158917891989119913991599179919991（2回归统计MultipleR0.9984230.9968490.996674RSquareAdjustedRSquare24标准误差观测值0.02212520方差分析dfSSMSFSignificanceF5.68E-24回归分析残差12.7876160.0088112.796