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a) State in words the relationship between two events R and S when P(R \cap S) = 0 The events A and B are independent with P(A) = \frac{1}{4} and P(A \cup B) = \frac{2}{3} Find b) P(B) c) P(A \cap B) d) P(B|A) - Edexcel - A-Level Maths Statistics - Question 2 - 2012 - Paper 1

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a)-State-in-words-the-relationship-between-two-events-R-and-S-when-P(R-\cap-S)-=-0--The-events-A-and-B-are-independent-with-P(A)-=-\frac{1}{4}-and-P(A-\cup-B)-=-\frac{2}{3}--Find--b)-P(B)--c)-P(A-\cap-B)--d)-P(B|A)-Edexcel-A-Level Maths Statistics-Question 2-2012-Paper 1.png

a) State in words the relationship between two events R and S when P(R \cap S) = 0 The events A and B are independent with P(A) = \frac{1}{4} and P(A \cup B) = \fra... show full transcript

Worked Solution & Example Answer:a) State in words the relationship between two events R and S when P(R \cap S) = 0 The events A and B are independent with P(A) = \frac{1}{4} and P(A \cup B) = \frac{2}{3} Find b) P(B) c) P(A \cap B) d) P(B|A) - Edexcel - A-Level Maths Statistics - Question 2 - 2012 - Paper 1

Step 1

State in words the relationship between two events R and S when P(R ∩ S) = 0

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Answer

When the probability of the intersection of two events R and S is zero (i.e., P(R ∩ S) = 0), it means that these two events are mutually exclusive. This indicates that both events cannot occur at the same time—if one occurs, the other cannot.

Step 2

b) P(B)

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To find P(B), we can use the formula for the probability of the union of independent events: P(AB)=P(A)+P(B)P(AB)P(A \cup B) = P(A) + P(B) - P(A \cap B) Since A and B are independent, we have: P(AB)=P(A)P(B)P(A \cap B) = P(A) \cdot P(B) Substituting the given values: 23=14+P(B)(14P(B))\frac{2}{3} = \frac{1}{4} + P(B) - \left( \frac{1}{4} \cdot P(B) \right) This simplifies to: 23=14+P(B)(114)\frac{2}{3} = \frac{1}{4} + P(B)(1 - \frac{1}{4}) Thus, 23=14+34P(B)\frac{2}{3} = \frac{1}{4} + \frac{3}{4}P(B) Now, isolating P(B): P(B)=2/31/43/4=8/123/123/4=5/123/4=59P(B) = \frac{2/3 - 1/4}{3/4} = \frac{8/12 - 3/12}{3/4} = \frac{5/12}{3/4} = \frac{5}{9} Therefore, P(B) = \frac{5}{9}.

Step 3

c) P(A ∩ B)

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To find P(A ∩ B), we can use the independence property of the events: P(AB)=P(A)P(B)P(A \cap B) = P(A) \cdot P(B) We already calculated P(B) as \frac{5}{9}, so: P(AB)=1459=536.P(A \cap B) = \frac{1}{4} \cdot \frac{5}{9} = \frac{5}{36}.

Step 4

d) P(B|A)

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To find the conditional probability P(B|A), we use the formula: P(BA)=P(AB)P(A)P(B|A) = \frac{P(A \cap B)}{P(A)} From part (c), we have: P(AB)=536P(A \cap B) = \frac{5}{36} Substituting the value of P(A): P(BA)=53614=53641=2036=59.P(B|A) = \frac{\frac{5}{36}}{\frac{1}{4}} = \frac{5}{36} \cdot \frac{4}{1} = \frac{20}{36} = \frac{5}{9}.

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