The assumptions for a signicance tests for the proportion are:
- Data is from a random sample
- Sample is sufficiently large, which can be assumed to be true when \(np_o\geq15\) and \(n(1-p_0)\geq15\)
A significane test for a proportion can be used for both quantitive and categorical data
We then note the the actual assumptions are: Data is from a random sample \(np_0\) and \(n(1-p_0)\) are both greater then 15.
(a) Find a nonzero vector orthogonal l to the plane the points P, Q, and R, and
(b) find the area of triangle PQR \(P(1,0,1),Q(-2,1,3), R(4,2,5)\)