(a) "P(X<173)=P(Z<\\frac{173-178}{8})=P(Z<-0.63)=0.2643."
(b) "P(179<X<184)=P(\\frac{179-178}{8}<Z<\\frac{184-178}{8})=P(0.13<Z<0.75)="
"=P(Z<0.75)-P(Z<0.13)=0.2217."
(c) "P(X>187)=P(Z>\\frac{187-178}{8})=P(Z>1.13)=1-P(Z<1.13)=0.1292."
"n=800*0.1292=103" students.
(d) "P(Z<z)=0.31\\to z=-0.4959."
"\\frac{x-\\mu}{\\sigma}=z\\to x=\\mu+z*\\sigma=178-0.4959*8=174.0 \\;cm."
"P(Z>z)=0.69\\to P(Z,z)=0.31)\\to z=-0.4959\\to x=174.0\\;cm."
31% of students are shorter than 174.0 cm and 69% of students are taller than 174.0 cm.
Comments
Dear Moon Shah, please use the panel for submitting new questions.
Men’s heights are normally distributed with mean 180 cm and standard deviation 4 cm, while women’s heights are normally distributed with mean 175 cm and standard deviation 3 cm. In a sample of 100 married couples, the average difference between husband’s height and wife’s height is 3.4 cm. By performing an appropriate test, comment on if the choice of partner in marriage is influenced by considerations of height, at 1% level of significance. Show full working details for your test. (15 marks)
Leave a comment