应用概率统计(陈魁)第十章(方差分析)部分课后答案


前言

\qquad 计算器敲起来应用概率统计(陈魁)第十章(方差分析)部分课后答案


仅供参考


一、10. 1

应用概率统计(陈魁)第十章(方差分析)部分课后答案


代入公式:
x i . = ∑ j = 1 n i x i j   , i = 1 , 2 , . . . , a , x . . = ∑ i = 1 a ∑ j = 1 n i x i j S T = ∑ i = 1 a ∑ j = 1 n i x i j − x . . 2 n S A = ∑ i = 1 a x i . 2 n i − x . . 2 n S E = S T − S A x_i. = \sum_{j=1}^{n_i}x_{ij} \,,i=1,2,...,a,\qquad x.. = \sum_{i=1}^a\sum_{j=1}^{n_i}x_{ij} \\ S_T = \sum_{i=1}^a\sum_{j=1}^{n_i}x_{ij} -\frac{{x^2_{..}}}{n}\\ S_A = \sum_{i=1}^a\frac{{x^2_{i.}}}{n_i}-\frac{{x^2_{..}}}{n}\\ S_E = S_T-S_A xi.=j=1nixij,i=1,2,...,a,x..=i=1aj=1nixijST=i=1aj=1nixijnx..2SA=i=1anixi.2nx..2SE=STSA


解:
设 各 机 器 生 产 的 薄 板 厚 度 为 : x i j = μ i + ε i j i = 1 , 2 , 3    j = 1 , 2 , 3 , 4 , 5 原 假 设 H 0 : μ 1 = μ 2 = μ 3 备 择 假 设 H 1 : μ i ≠ μ j , 至 少 有 一 对 i , j a = 3 n i = 5 ( i = 1 , 2 , 3 ) n = 15 x . . = ∑ i = 1 3 ∑ j = 1 5 x i j = 38 x 1. = 12.1 x 2. = 12.8 x 3. = 13.1 S T = 2.3 6 2 + 2.3 8 2 + . . . + 2.6 2 2 − 3 8 2 15 = 0.13 S A = 1 5 ( 12. 1 2 + 12. 8 2 + 13. 1 2 ) − 3 8 2 15 = 0.11 S E = S T − S A = 0.02 S E , S T , S A 的 自 由 度 分 别 为 12 , 14 , 2 M S A = 0.11 / 2 = 0.055 M S E = 0.02 / 12 = 0.00167 F = M S A M S E = 32.93 查 表 得 : F α ( a − 1 , n − a ) = 3.89 ∵ 32.93 > 3.89 ∴ 拒 绝 H 0 , 各 机 器 生 产 的 薄 板 厚 度 有 显 著 差 异 设各机器生产的薄板厚度为:\\ x_{ij} = \mu_i + \varepsilon_{ij}\qquad i = 1,2,3 \ \ j = 1,2,3,4,5 \\原假设H_0:\mu_1=\mu_2=\mu_3\qquad备择假设H_1:\mu_i\ne\mu_j,至少有一对i,j\\ \qquad a =3\qquad n_i= 5(i=1,2,3)\qquad n=15\qquad x.. =\sum_{i=1}^3\sum_{j=1}^{5}x_{ij}= 38\\ x_{1.}=12.1 \qquad x_{2.}=12.8 \qquad x_{3.}=13.1\\ S_T = 2.36^2+2.38^2+...+2.62^2-\frac{38^2}{15} = 0.13\\ S_A = \frac15 (12.1^2+12.8^2+13.1^2)-\frac{38^2}{15} =0.11\\ S_E = S_T-S_A= 0.02 \\ S_E,S_T,S_A的*度分别为12,14,2\\ MS_A = 0.11/2 = 0.055 \qquad MS_E = 0.02/12 = 0.00167\\ F = \frac{MS_A}{MS_E} = 32.93\\ 查表得: F_\alpha(a-1,n-a) = 3.89\\ \because32.93>3.89\qquad\therefore拒绝H_0,各机器生产的薄板厚度有显著差异 xij=μi+εiji=1,2,3  j=1,2,3,4,5H0:μ1=μ2=μ3H1μi=μj,i,ja=3ni=5(i=1,2,3)n=15x..=i=13j=15xij=38x1.=12.1x2.=12.8x3.=13.1ST=2.362+2.382+...+2.62215382=0.13SA=51(12.12+12.82+13.12)15382=0.11SE=STSA=0.02SE,ST,SA12,14,2MSA=0.11/2=0.055MSE=0.02/12=0.00167F=MSEMSA=32.93Fα(a1,na)=3.8932.93>3.89H0


二、10. 3

应用概率统计(陈魁)第十章(方差分析)部分课后答案 \qquad 设各测量值总体服从同方差的正态分布,试分析各类型电路对啊应时间有无显者影响 ( α = 0.05 ) ? (\alpha = 0.05)? (α=0.05)?.


和第一题一样:
x i . = ∑ j = 1 n i x i j   , i = 1 , 2 , . . . , a , x . . = ∑ i = 1 a ∑ j = 1 n i x i j S T = ∑ i = 1 a ∑ j = 1 n i x i j − x . . 2 n S A = ∑ i = 1 a x i . 2 n i − x . . 2 n S E = S T − S A x_i. = \sum_{j=1}^{n_i}x_{ij} \,,i=1,2,...,a,\qquad x.. = \sum_{i=1}^a\sum_{j=1}^{n_i}x_{ij} \\ S_T = \sum_{i=1}^a\sum_{j=1}^{n_i}x_{ij} -\frac{{x^2_{..}}}{n}\\ S_A = \sum_{i=1}^a\frac{{x^2_{i.}}}{n_i}-\frac{{x^2_{..}}}{n}\\ S_E = S_T-S_A xi.=j=1nixij,i=1,2,...,a,x..=i=1aj=1nixijST=i=1aj=1nixijnx..2SA=i=1anixi.2nx..2SE=STSA


解:
设 各 类 型 电 路 的 响 应 时 间 为 : x i j = μ i + ε i j i = 1 , 2 , 3 , 4    j = 1 , 2 , 3 , 4 , 5 ( i 取 4 时 , j 不 取 4 , 5 ) 原 假 设 H 0 : μ 1 = μ 2 = μ 3 = μ 4 备 择 假 设 H 1 : μ i ≠ μ j , 至 少 有 一 对 i , j a = 4 n i = 5 ( i = 1 , 2 , 3 )    n 4 = 3 n = 18 x . . = 386 x 1. = 94 x 2. = 141 x 3. = 92 x 4. = 59 S T = 1 9 2 + 2 2 2 + . . . + 1 9 2 − 38 6 2 18 = 714.44 S A = 1 5 ( 9 4 2 + 14 1 2 + 9 2 2 ) + 5 9 2 3 − 38 6 2 18 = 318.98 S E = S T − S A = 395.46 S T , S A , S E 的 自 由 度 分 别 为 17 , 3 , 14 M S A = 318.98 / 3 = 106.33 M S E = 395.46 / 14 = 28.25 F = M S A M S E = 3.76 查 表 得 : F 0.05 ( 3 , 14 ) = 3.34 ∵ 3.76 > 3.34 ∴ 拒 绝 H 0 , 接 受 H 1 各 类 型 电 路 的 响 应 时 间 有 显 著 差 异 设各类型电路的响应时间为:\\ x_{ij} = \mu_i + \varepsilon_{ij}\qquad i = 1,2,3,4 \ \ j = 1,2,3,4,5 (i取4时,j不取4,5) \\原假设H_0:\mu_1=\mu_2=\mu_3=\mu_4\qquad备择假设H_1:\mu_i\ne\mu_j,至少有一对i,j\\ \qquad a =4\qquad n_i= 5(i=1,2,3)\ \ n_4=3\qquad n = 18 \qquad x.. =386\\ x_{1.}=94\qquad x_{2.}=141\qquad x_{3.}=92\qquad x_{4.}=59\\ S_T = 19^2+22^2+...+19^2-\frac{386^2}{18} = 714.44\\ S_A = \frac15 (94^2+141^2+92^2)+\frac{59^2}{3}-\frac{386^2}{18} =318.98\\ S_E = S_T-S_A= 395.46 \\ S_T,S_A,S_E的*度分别为17,3,14\\ MS_A = 318.98/3 = 106.33\qquad MS_E = 395.46/14= 28.25\\ F = \frac{MS_A}{MS_E} = 3.76\\ 查表得: F_{0.05}(3,14) = 3.34\\ \because3.76>3.34\qquad\therefore拒绝H_0,接受H_1\\ 各类型电路的响应时间有显著差异 xij=μi+εiji=1,2,3,4  j=1,2,3,4,5(i4j4,5)H0:μ1=μ2=μ3=μ4H1μi=μj,i,ja=4ni=5(i=1,2,3)  n4=3n=18x..=386x1.=94x2.=141x3.=92x4.=59ST=192+222+...+192183862=714.44SA=51(942+1412+922)+3592183862=318.98SE=STSA=395.46ST,SA,SE17,3,14MSA=318.98/3=106.33MSE=395.46/14=28.25F=MSEMSA=3.76F0.05(3,14)=3.343.76>3.34H0H1


三、10. 4

应用概率统计(陈魁)第十章(方差分析)部分课后答案


代入公式:
S T = ∑ i = 1 a ∑ j = 1 b x i j 2 − x . . 2 a b S A = ∑ i = 1 a x i . 2 b − x . . 2 a b S B = ∑ j = 1 b x . j 2 a − x . . 2 a b S E = S T − S A − S B S_T = \sum_{i=1}^a\sum_{j=1}^{b}x_{ij}^2 -\frac{{x^2_{..}}}{ab}\\ S_A = \sum_{i=1}^a\frac{{x^2_{i.}}}{b}-\frac{{x^2_{..}}}{ab}\\ S_B = \sum_{j=1}^b\frac{{x^2_{.j}}}{a}-\frac{{x^2_{..}}}{ab}\\ S_E = S_T-S_A-S_B ST=i=1aj=1bxij2abx..2SA=i=1abxi.2abx..2SB=j=1bax.j2abx..2SE=STSASB


解:

设产量为: x i j = μ + α i + β j + ε i j i = 1 , 2 , 3 , 4    j = 1 , 2 , 3 , 4 , 5 , 6 原 假 设 H A 0 : α 1 = α 2 = α 3 = α 4 = 0 H B 0 : β 1 = β 2 = . . . = β 6 = 0 备 择 假 设 H A 1 : α i ≠ 0 , 至 少 有 一 个 i H A 1 : β j ≠ 0 , 至 少 有 一 个 j a = 4    b = 6 a b = 24 α = 0.05 x . . = 1010.6 由 表 可 得 : x 1. = 247.8 x 2. = 248 x 3. = 255.4 x 4. = 259.4 x . 1 = 163.5 x . 2 = 162.1 x . 3 = 164.9 x . 4 = 169.8 x . 5 = 176.2 x . 6 = 174.1 S T = ∑ i = 1 4 ∑ j = 1 6 x i j 2 − 1010. 6 2 24 = 83.34 S A = ∑ i = 1 a x i . 2 b − x . . 2 a b = 16.38 S B = ∑ j = 1 b x . j 2 a − x . . 2 a b = 42.81 S E = S T − S A − S B = 24.15 S T , S A , S B , S E 的 自 由 度 分 别 为 23 , 3 , 5 , 15 M S A = 5.46 M S B = 8.562 M S E = 1.61 F 1 = M S A M S E = 3.39 F 2 = M S B M S E = 5.32 查 表 得 : F 0.05 ( 3 , 15 ) = 3.29 F 0.05 ( 5 , 15 ) = 2.90 ∵ F 1 > 3.29 F 2 > 2.90 ∴ 拒 绝 H A 0 , H B 0 , 不 同 的 机 器 、 不 同 的 运 转 速 度 对 产 量 都 有 显 著 影 响 . x_{ij} = \mu +\alpha_i+\beta_j+ \varepsilon_{ij}\qquad i = 1,2,3,4 \ \ j = 1,2,3,4,5,6 \\原假设H_{A0}:\alpha_1=\alpha_2=\alpha_3=\alpha_4=0\qquad H_{B0}:\beta_1=\beta_2=...=\beta_6=0\\ 备择假设H_{A1}:\alpha_i\ne0,至少有一个i\qquad H_{A1}:\beta_j\ne0,至少有一个j\\ \qquad a =4\ \ b=6\qquad ab=24\qquad \alpha = 0.05 \qquad x.. =1010.6\\ 由表可得:x_{1.}=247.8\qquad x_{2.}=248\qquad x_{3.}=255.4\qquad x_{4.}=259.4\\ x_{.1}=163.5\quad x_{.2}=162.1\quad x_{.3}=164.9\quad x_{.4}=169.8\quad x_{.5}=176.2\quad x_{.6}=174.1 \\ S_T = \sum_{i=1}^4\sum_{j=1}^{6}x_{ij}^2 -\frac{{1010.6^2}}{24} = 83.34\\ S_A = \sum_{i=1}^a\frac{{x^2_{i.}}}{b}-\frac{{x^2_{..}}}{ab}=16.38\\ S_B = \sum_{j=1}^b\frac{{x^2_{.j}}}{a}-\frac{{x^2_{..}}}{ab}=42.81\\ S_E = S_T-S_A-S_B=24.15 \\ S_T,S_A,S_B,S_E的*度分别为23,3,5,15\\ MS_A = 5.46\qquad MS_B = 8.562\qquad MS_E = 1.61\\ F_1 = \frac{MS_A}{MS_E} = 3.39\qquad F_2 = \frac{MS_B}{MS_E} =5.32\\ 查表得: F_{0.05}(3,15) = 3.29\qquad F_{0.05}(5,15) =2.90 \\ \because F_1>3.29\qquad F_2 > 2.90\\ \therefore拒绝H_{A0},H_{B0},不同的机器、不同的运转速度对产量都有显著影响. xij=μ+αi+βj+εiji=1,2,3,4  j=1,2,3,4,5,6HA0:α1=α2=α3=α4=0HB0:β1=β2=...=β6=0HA1αi=0,iHA1βj=0,ja=4  b=6ab=24α=0.05x..=1010.6x1.=247.8x2.=248x3.=255.4x4.=259.4x.1=163.5x.2=162.1x.3=164.9x.4=169.8x.5=176.2x.6=174.1ST=i=14j=16xij2241010.62=83.34SA=i=1abxi.2abx..2=16.38SB=j=1bax.j2abx..2=42.81SE=STSASB=24.15ST,SA,SB,SE23,3,5,15MSA=5.46MSB=8.562MSE=1.61F1=MSEMSA=3.39F2=MSEMSB=5.32F0.05(3,15)=3.29F0.05(5,15)=2.90F1>3.29F2>2.90HA0HB0.

四、10. 5

应用概率统计(陈魁)第十章(方差分析)部分课后答案


代入公式:
S T = ∑ i = 1 a ∑ j = 1 b ∑ k = 1 n x i j k 2 − x . . . 2 a b n S A = 1 b n ∑ i = 1 a x i . . 2 − x . . . 2 a b n S B = 1 a n ∑ j = 1 b x . j . 2 − x . . . 2 a b n S A × B = 1 n ∑ i = 1 a ∑ j = 1 b x i j . 2 − x . . . 2 a b n − S A − S B S E = S T − S A − S B − S A × B S_T = \sum_{i=1}^a\sum_{j=1}^{b}\sum_{k=1}^n x_{ijk}^2 -\frac{{x^2_{...}}}{abn}\\ S_A =\frac1{bn} \sum_{i=1}^ax^2_{i..}-\frac{{x^2_{...}}}{abn}\\ S_B =\frac1{an} \sum_{j=1}^{b}x^2_{.j.}-\frac{{x^2_{...}}}{abn}\\ S_{A\times B} = \frac1n\sum_{i=1}^a\sum_{j=1}^{b}x^2_{ij.}-\frac{{x^2_{...}}}{abn}-S_A-S_B\\ S_E = S_T-S_A-S_B-S_{A\times B} ST=i=1aj=1bk=1nxijk2abnx...2SA=bn1i=1axi..2abnx...2SB=an1j=1bx.j.2abnx...2SA×B=n1i=1aj=1bxij.2abnx...2SASBSE=STSASBSA×B


解:

设燃烧速度为: x i j = μ + α i + β j + γ i j + ε i j k i = 1 , 2 , 3 , 4    j = 1 , 2 , 3 , 4 , 5 , 6    k = 1 , 2 原 假 设 H A 0 : α 1 = α 2 = α 3 = 0 H B 0 : β 1 = . . . = β 4 = 0 H A B 0 : γ i j = 0 备 择 假 设 H A 1 : α i ≠ 0 , 至 少 有 一 个 i H A 1 : β j ≠ 0 , 至 少 有 一 个 j H A B 0 : γ i j ≠ 0 , 至 少 有 一 对 i , j a = 3    b = 4    n = 2 a b n = 24 α = 0.05 x . . . = 710.2 由 表 可 得 : x 1.. = 244 x 2.. = 237.4 x 3.. = 228.8 x . . 1 = 189.6 x . . 2 = 179.1 x . . 3 = 170.3 x . . 4 = 171.2 S T = ∑ i = 1 a ∑ j = 1 b ∑ k = 1 n x i j k 2 − x . . . 2 a b n = 21107.68 − 21016 = 91.68 S A = 1 b n ∑ i = 1 a x i . . 2 − x . . . 2 a b n = 14.52 S B = 1 a n ∑ j = 1 b x . j . 2 − x . . . 2 a b n = 40.08 S A × B = 1 n ∑ i = 1 a ∑ j = 1 b x i j . 2 − x . . . 2 a b n − S A − S B = 22.17 S E = S T − S A − S B − S A × B = 14.91 S T , S A , S B , S A × B , S E 的 自 由 度 分 别 为 23 , 2 , 3 , 6 , 12 M S A = 7.26 M S B = 13.36 M S A × B = 3.695 M S E = 1.24 F 1 = M S A M S E = 5.85 F 2 = M S B M S E = 10.77 F 3 = M S A × B M S E = 2.98 查 表 得 : F 0.05 ( 2 , 12 ) = 3.89 F 0.05 ( 3 , 12 ) = 3.49 F 0.05 ( 6 , 12 ) = 3.00 ∵ F 1 > 3.89 F 2 > 3.49 F 3 < 3.00 ∴ 导 弹 系 统 推 进 器 类 型 对 燃 烧 速 度 有 显 著 影 响 , 它 们 的 交 互 作 用 对 燃 烧 速 度 无 影 响 . x_{ij} = \mu +\alpha_i+\beta_j+\gamma_{ij} +\varepsilon_{ijk}\qquad i = 1,2,3,4 \ \ j = 1,2,3,4,5,6\ \ k=1,2 \\原假设H_{A0}:\alpha_1=\alpha_2=\alpha_3=0\quad H_{B0}:\beta_1=...=\beta_4=0\quad H_{AB0}:\gamma_{ij}=0\\ 备择假设H_{A1}:\alpha_i\ne0,至少有一个i\quad H_{A1}:\beta_j\ne0,至少有一个j \quad H_{AB0}:\gamma_{ij}\ne0,至少有一对i,j \\ \qquad a =3\ \ b=4\ \ n=2\qquad abn=24\qquad \alpha = 0.05 \qquad x... =710.2\\ 由表可得:x_{1..}=244\qquad x_{2..}=237.4\qquad x_{3..}=228.8\\ x_{..1}=189.6\quad x_{..2}=179.1\quad x_{..3}=170.3\quad x_{..4}=171.2\\ S_T = \sum_{i=1}^a\sum_{j=1}^{b}\sum_{k=1}^n x_{ijk}^2 -\frac{{x^2_{...}}}{abn}=21107.68-21016= 91.68\\ S_A =\frac1{bn} \sum_{i=1}^ax^2_{i..}-\frac{{x^2_{...}}}{abn}=14.52\\ S_B =\frac1{an} \sum_{j=1}^{b}x^2_{.j.}-\frac{{x^2_{...}}}{abn}=40.08\\ S_{A\times B} = \frac1n\sum_{i=1}^a\sum_{j=1}^{b}x^2_{ij.}-\frac{{x^2_{...}}}{abn}-S_A-S_B=22.17\\ S_E = S_T-S_A-S_B-S_{A\times B=14.91} \\ S_T,S_A,S_B,S_{A\times B} ,S_E的*度分别为23,2,3,6,12\\ MS_A = 7.26\quad MS_B = 13.36\quad MS_{A\times B} = 3.695\qquad MS_E = 1.24\\ F_1 = \frac{MS_A}{MS_E} = 5.85\qquad F_2 = \frac{MS_B}{MS_E} =10.77\qquad F_3= \frac{MS_{A\times B}}{MS_E} =2.98\\ 查表得: F_{0.05}(2,12) = 3.89\quad F_{0.05}(3,12) =3.49\quad F_{0.05}(6,12) =3.00\\ \because F_1>3.89\qquad F_2 > 3.49 \qquad F_3 < 3.00\\ \therefore导弹系统推进器类型对燃烧速度有显著影响,它们的交互作用对燃烧速度无影响. xij=μ+αi+βj+γij+εijki=1,2,3,4  j=1,2,3,4,5,6  k=1,2HA0:α1=α2=α3=0HB0:β1=...=β4=0HAB0:γij=0HA1αi=0,iHA1βj=0,jHAB0:γij=0,i,ja=3  b=4  n=2abn=24α=0.05x...=710.2x1..=244x2..=237.4x3..=228.8x..1=189.6x..2=179.1x..3=170.3x..4=171.2ST=i=1aj=1bk=1nxijk2abnx...2=21107.6821016=91.68SA=bn1i=1axi..2abnx...2=14.52SB=an1j=1bx.j.2abnx...2=40.08SA×B=n1i=1aj=1bxij.2abnx...2SASB=22.17SE=STSASBSA×B=14.91ST,SA,SB,SA×B,SE23,2,3,6,12MSA=7.26MSB=13.36MSA×B=3.695MSE=1.24F1=MSEMSA=5.85F2=MSEMSB=10.77F3=MSEMSA×B=2.98F0.05(2,12)=3.89F0.05(3,12)=3.49F0.05(6,12)=3.00F1>3.89F2>3.49F3<3.00.


▌总结

考神保佑!!!!!!!!!!!!
考神保佑!!!!!!!!!!!!
考神保佑!!!!!!!!!!!!

应用概率统计(陈魁)第十章(方差分析)部分课后答案
附:
\qquad 第十一章传送门