From a survey involving​ 1,000 university​ students, a market research company found that 710 students owned​ laptops, 470 owned​ cars, and 320 owned cars and laptops. If a university student is selected at​ random, what is each​ (empirical) probability?
​(A) The student owns either a car or a laptop ​
(B) The student owns neither a car nor a laptop.

Respuesta :

Answer: ​(A) 0.86

(B) 0.14

Step-by-step explanation:

Given : Total university students n(S)= 1,000

Number of students owned​ laptops n(L)= 710

Number of students owned cars n(C)= 470

​Number of students owned​ laptops and cars n(L∩C)= 320

Then, the number of students owned either a car or a laptop ​:

n(L∪C)=n(L)+n(C)-n(L∩C)

=710+470-320=860

Probability that the student owns either a car or a laptop ​ :-

[tex]P(L\cup C)=\dfrac{n(L\cup C)}{n(S)}\\\\=\dfrac{860}{1000}=0.86[/tex]

Probability that the student owns neither a car nor a laptop :-

[tex]P(L'\cap C')=P(L\cup C)'\ [\because (A'\cap B)'=(A\cap B)']\\\\=1-P(L\cup C)\ \ \text{(Using Demorgon's law)}\\\\=1-0.86=0.14[/tex]