xdongx 10 發表於 February 21, 2007 檢舉 Share 發表於 February 21, 2007 1.The following information about the number of persons per family in Canada is provided by Statistics Canada (Census 1990),*Number of persons per family Percent of families (%) 2 persons 43.51 3 persons 22.61 4 persons 23.075 persons 8.386 persons 2.027 persons 0.41* Number of persons per families with more than 7 persons is negligible. Their probability is taken to be zero. (a)Compute the probability of three or fewer persons per family.(b)Compute the expected number of persons per family.©Compute the standard deviation of the number of persons per family.(d)Graph the above probability distribution.2.normal distribution has a mean of 50 and a standard deviation of 4. Determine the value below which 95 percent of the observations will occur. 鏈接文章 分享到其他網站
mapleaf 11 發表於 February 22, 2007 檢舉 Share 發表於 February 22, 2007 (a)Compute the probability of three or fewer persons per family Ans: P(x=2)+P(x=3)=43.51%+ 22.61%=0.4351+0.2261=0.6612 鏈接文章 分享到其他網站
mapleaf 11 發表於 February 22, 2007 檢舉 Share 發表於 February 22, 2007 (b)Compute the expected number of persons per family. Ans:E(x)=2 *P(x=2)+3*P(x=3)+4* P(x=4)+5 *P(x=5)+6 *P(x=6)+7*P(x=7) = 2 * 0.4351+3 * 0.2261+4* 0.2307+5 *0.0838+6 *0.0202+7*0.0041=3.0402 鏈接文章 分享到其他網站
mapleaf 11 發表於 February 22, 2007 檢舉 Share 發表於 February 22, 2007 ©Compute the standard deviation of the number of persons per familyAns:standard deviation =sigma=Square Root of VarianceVar(x)=E(x^2)-[E(x)]^2 = [4 * 0.4351+9 * 0.2261+16* 0.2307+25 *0.0838+36 *0.0202+49*0.0041]-[3.0402]^2 =10.4896-9.242816=1.246784Sigma=[Var(x)]^0.5=1.116595 鏈接文章 分享到其他網站
mapleaf 11 發表於 February 22, 2007 檢舉 Share 發表於 February 22, 2007 (d)Graph the above probability distribution. 鏈接文章 分享到其他網站
mapleaf 11 發表於 February 22, 2007 檢舉 Share 發表於 February 22, 2007 2.normal distribution has a mean of 50 and a standard deviation of 4. Determine the value below which 95 percent of the observations will occur.Excel: NORMSINV(0.95)= 1.644853476= zBy z=(x-mu)/sigma1.644853476=(x-50)/4 x =56.579413903 鏈接文章 分享到其他網站
00 10 發表於 February 22, 2007 檢舉 Share 發表於 February 22, 2007 ©Compute the standard deviation of the number of persons per familyAns:standard deviation =sigma=Square Root of VarianceVar(x)=E(x^2)-[E(x)]^2 = [4 * 0.4351+9 * 0.2261+16* 0.2307+25 *0.0838+36 *0.0202+49*0.0041]-[3.0402]^2 =10.4896-9.242816=1.246784Sigma=[Var(x)]^0.5=1.116595這個能不能解釋一下,我不太懂,謝謝。 鏈接文章 分享到其他網站
00 10 發表於 February 22, 2007 檢舉 Share 發表於 February 22, 2007 2.normal distribution has a mean of 50 and a standard deviation of 4. Determine the value below which 95 percent of the observations will occur.Excel: NORMSINV(0.95)= 1.644853476= zBy z=(x-mu)/sigma1.644853476=(x-50)/4 x =56.579413903x應該是一個範圍吧(56.多>x>43.多),如果我弄錯請指正,謝謝。 鏈接文章 分享到其他網站
Zeta 10 發表於 February 22, 2007 檢舉 Share 發表於 February 22, 2007 1.The following information about the number of persons per family in Canada is provided by Statistics Canada (Census 1990),*Number of persons per family Percent of families (%) 2 persons 43.51 3 persons 22.61 4 persons 23.075 persons 8.386 persons 2.027 persons 0.41* Number of persons per families with more than 7 persons is negligible. Their probability is taken to be zero. (a)Compute the probability of three or fewer persons per family.(b)Compute the expected number of persons per family.©Compute the standard deviation of the number of persons per family.(d)Graph the above probability distribution.2.normal distribution has a mean of 50 and a standard deviation of 4. Determine the value below which 95 percent of the observations will occur.嗯,這些應該是初等統計學的東西吧,我有接觸一點點啦,我沒有很清楚:E 期望值,標準差,常態分佈,機率這些應該都是要做圖的話,你用origin,sigmaplot搭配excel就很夠了:p 要專業一點的話,你去用SPSS好了 鏈接文章 分享到其他網站
mapleaf 11 發表於 February 22, 2007 檢舉 Share 發表於 February 22, 2007 這個能不能解釋一下,我不太懂,謝謝。題目的意思是說有一個mu(平均數)=50,Sigma(標準差)=4,服從常態分配的曲線,要尋找一個值x,而x之下的資料佔有百分之九十五我先利用Excel,先找到"標準常態分配",的Z值標準常態分配mu(平均數)=0,Sigma(標準差)=1,在Excel任意儲存格打"=NORMSINV(0.95)",將出現1.644853476,這就是Z值再以轉換公式Z=(x-mu)/Sigma, 即可求出其對應的x 鏈接文章 分享到其他網站
xdongx 10 發表於 February 24, 2007 作者 檢舉 Share 發表於 February 24, 2007 thank for your help .............:'( ~~~~~~~~~~~` 鏈接文章 分享到其他網站
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