Answer:
P ( z ) = 0.005
Step-by-step explanation:
From problem statement:
We know:
Researchers study 45 % adults over 65 suffering disorders
Sample 320 out of 750
then p = 320 / 750 = 0,4267
1.- Test hypothesis
H₀ null hypothesis ⇒ p₀ = 0,45
Hₐ alternative hypothesis ⇒ p₀ < 0.45
We calculate the z(s) as:
z(s) = ( p - p₀ )/ √ p₀*q₀/n ⇒ z(s) = ( 0.4267 - 0.45 )/ √(0.45*0,55)/750 z(s) = - 0.0233* √750 / 0.2475
z(s) = - 0.6381/0.2475 ⇒ z(s) = - 2.57
We look for - 2.57 in z tabl to find the probability of fewer than 320 out of 750 suffer of disorder, and find
P ( z ) = 0.0051
P ( z ) = 0.005