The sampling distribution of p-hat is approximately normal with mu sub p-hat=0.35 and sigma sub p-hat= square root of .35(.65)/1000= 0.015
p(p-hat ≥ .39)=0.0040. About 4 out of 1000 random samples of n=1000 will lead to 390 or more individuals (≥39%) w/ the characteristic.
p(p-hat≤.32)=0.0234. Around 2/100 random samples of n=1000 will lead to 320 or less people w/ the characteristic.
The sampling distribution of p-hat is approximately normal with mu sub p-hat=0.42 and sigma sub p-hat= square root of .42(.58)/1460= 0.013.
p(p-hat ≥ .45)=.0099. About 10/1460 random samples of n=1460 will lead to 657 or more individuals (≥45%) w/ the characteristic.
p(p-hat≤.4)=0.0606. Around 61/1460 random samples of n=1460 will lead to 584 or less people w/ the characteristic.
the sampling dis. of p hat is about normal with u sub p-hat=.39 and sigma sub p-hat= square root of .39(.61)=.022
p(p-hat<.38)=.3233. About 32/100 random samples of n=500 adult americans will lead to fewer than 190 people (less than 38%) who believe marriage is obsolete.
P(.40<p-hat.45)=.3203. About 32/100 random samples of n=500 adult americans will lead to 210 or more people (42% or more) who believe marriage is obsolete.
p(p-hat≥.42)=.0845. ABout 8/100 random samples of n=500 adult americans will lead to 210+ individuals (42% or more) who think that marriage is obsolete. This is unusual.