Problemas

In the Venn diagram shown, the area where the circles overlap is P(Disney and Busch). What is this area called? the intersection of Disney and Busch the exclusive probability of Disney and Busch the joint probability of Disney and Busch the complementary probability of Disney and Busch
Solución
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The overlapping area of the circles in the Venn diagram is called the intersection of Disney and Busch.
Explicar
## Step 1<br />The problem involves a Venn diagram, which is a graphical representation of the relationships between different sets. In this case, the sets are Disney and Busch. The overlapping area of the circles represents the elements that are common to both sets.<br /><br />## Step 2<br />The term "intersection" in set theory refers to the elements that are common to both sets. In this context, the overlapping area of the circles represents the elements that are common to both Disney and Busch.<br /><br />## Step 3<br />The term "exclusive probability" refers to the probability of an event occurring, but not the other. This does not apply to the overlapping area of the circles, as it represents the common elements of both sets.<br /><br />## Step 4<br />The term "joint probability" refers to the probability of two events occurring simultaneously. This does not apply to the overlapping area of the circles, as it represents the common elements of both sets, not the simultaneous occurrence of two events.<br /><br />## Step 5<br />The term "complementary probability" refers to the probability of an event not occurring. This does not apply to the overlapping area of the circles, as it represents the common elements of both sets, not the non-occurrence of an event.
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