Answer:
Accept the null hypotheses( H₀:p=0.50) .This means only 50% of working adults are satisfied with their jobs.
Step-by-step explanation:
The hypotheses are;
H₀:p=0.50
Ha: p>0.50
where p is the working adults satisfied with their jobs
Check if normal model is a good fit for the sampling distribution as;
Check for condition using p=0.50
np=(100)(0.50) = 50
n(1-p) = 100(1-0.50)= 50
They are both more than 10 thus we can use the normal model to find p-value
Formula for z-score for a sample proportion is;
z=p'-p/√ p(1-p)/n
p' =x/n = 54/100 =0.54
z= 0.54-0.50 / √ 0.50(1-0.50)/100
z=0.04 / √ 0.0025
z=0.04 / 0.05 = 0.8
Use the z table to find the p-value where z=0.8
p-value, at z=0.8 = 0.788 but
find 1-p-value as 1-0.788 =0.212 ------because the alternative hypotheses is greater than thus we want the area to the right of z
p-value = 0.212
since p-value , 0.212 is more than 0.05 accept the null hypotheses.This means only 50% of working adults are satisfied with their jobs.