Answer:
[tex]P(A \cap B) \neq P(A)P(B)[/tex], which means that the two events “kids eating pizza” and ”kids eating tacos” are not independent events
Step-by-step explanation:
Independent events:
Two events, A and B are independent, if:
[tex]P(A \cap B) = P(A)P(B)[/tex]
In this problem:
Event A: Pizza for lunch
Event B: Tacos for luch
15% chance of kids having pizza and tacos together for lunch.
This means that [tex]P(A \cap B) = 0.15[/tex]
20% chance of kids having tacos for lunch
This means that [tex]P(B) = 0.2[/tex]
55% chance of kids having pizza for lunch
This means that [tex]P(A) = 0.55[/tex]
So
[tex]P(A)P(B) = 0.55*0.2 = 0.11[/tex]
[tex]P(A \cap B) \neq P(A)P(B)[/tex], which means that the two events “kids eating pizza” and ”kids eating tacos” are not independent events