Answer:
x P(x)
0 0.0625
1 0.2203
2 0.3235
3 0.2533
4 0.1116
5 0.0262
6 0.0026
Step-by-step explanation:
If the variable x follows a binomial distribution, the probability P(x) is calculated as:
[tex]P(x)=nCx*p^{x}*(1-p)^{n-x}[/tex]
Where [tex]nCx=\frac{n!}{x!(n-x)!}[/tex]
Where p is the probability of success (37% of working mothers do not have enough money to cover their health insurance deductibles), n is the number of identical and independent events (you randomly select six working mothers) and x is the number of that events that has success.
So, replacing n by 6 and p by 0.37, we can calculated the following probabilities as:
[tex]P(x)=6Cx*0.37^{x}*(1-0.37)^{6-x}\\P(0)=6C0*0.37^{0}*(1-0.37)^{6-0}=0.0625\\P(1)=6C1*0.37^{1}*(1-0.37)^{6-1}=0.2203\\P(2)=6C2*0.37^{2}*(1-0.37)^{6-2}=0.3235\\P(3)=6C3*0.37^{3}*(1-0.37)^{6-3}=0.2533\\P(4)=6C4*0.37^{4}*(1-0.37)^{6-4}=0.1116\\P(5)=6C5*0.37^{5}*(1-0.37)^{6-5}=0.0262\\P(6)=6C6*0.37^{6}*(1-0.37)^{6-6}=0.0026[/tex]