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A large college produces three magazines - Edexcel - A-Level Maths Statistics - Question 4 - 2021 - Paper 1

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A large college produces three magazines. One magazine is about green issues, one is about equality and one is about sports. A student at the college is selected at ... show full transcript

Worked Solution & Example Answer:A large college produces three magazines - Edexcel - A-Level Maths Statistics - Question 4 - 2021 - Paper 1

Step 1

Find the proportion of students in the college who read exactly one of these magazines.

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Answer

To find the proportion of students who read exactly one magazine, we need to sum the probabilities of the disjoint sections from the Venn diagram. These will be the probabilities in the non-overlapping areas for each magazine:

  • For G (Green): 0.08
  • For E (Equality): 0.09
  • For S (Sports): 0.36

Thus, the total probability for students that read exactly one magazine is:

0.08+0.09+0.36=0.530.08 + 0.09 + 0.36 = 0.53

Therefore, 53% of students read exactly one of these magazines.

Step 2

Find (i) the value of p

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Answer

From the Venn diagram and noting that no students read all three magazines, we can express P(G ∩ E' ∩ S') (which is p) using the probabilities given in the diagram:

Using the equation:

P(G)=0.25=0.08+0.05+q+pP(G) = 0.25 = 0.08 + 0.05 + q + p

The value of p can be determined as follows: Since P(G) = 0.25 and we already have values for other parts:

p=0.25(0.08+0.05+q)p = 0.25 - (0.08 + 0.05 + q)

Substituting 0 for q:

p=0.250.13=0.12p = 0.25 - 0.13 = 0.12

Step 3

Find (ii) the value of q

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Answer

As established earlier, we know:

P(GES)=0P(G ∩ E ∩ S) = 0 where q is the overlapping probability between G and E. To find q, we use the equation derived from the total probabilities:

Using the earlier established values:

P(G)=0.25=0.08+0.05+q+pP(G) = 0.25 = 0.08 + 0.05 + q + p

Since we already determined that p = 0.12:

Substituting in the probability of p gives us:

q=0.25(0.08+0.05+0.12)=0.250.25=0.12q = 0.25 - (0.08 + 0.05 + 0.12) = 0.25 - 0.25 = 0.12

Step 4

Find (i) the value of r

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Answer

To find r, we utilized the conditional probability provided:

We know that:

P(S | E) = rac{P(S ∩ E)}{P(E)} Given that P(S | E) = 5/12: Substituting to solve for P(S):

We know the total probabilities:

Using previously established values we can set: P(E)=0.12+q=0.12+0.12=0.24P(E) = 0.12 + q = 0.12 + 0.12 = 0.24 Then, substituting back yields:

ightarrow r = 0.10 $$

Step 5

Find (ii) the value of t

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Answer

To find t, we need to understand that the sum of all probabilities must equal 1:

1=0.08+0.05+0.09+q+p+r+t1 = 0.08 + 0.05 + 0.09 + q + p + r + t Where we can substitute in the values:

1=0.08+0.05+0.09+0.12+0.10+t1 = 0.08 + 0.05 + 0.09 + 0.12 + 0.10 + t Solving for t will give:

t=1(0.08+0.05+0.09+0.12+0.10)=0.20t = 1 - (0.08 + 0.05 + 0.09 + 0.12 + 0.10) = 0.20

Step 6

Determine whether or not the events (S ∩ E') and G are independent.

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Answer

To determine independence, we utilize the independence condition:

Events A and B are independent if and only if:

P(AB)=P(A)imesP(B)P(A ∩ B) = P(A) imes P(B) Here: Let A = (S ∩ E') and B = G. First, we need to compute:

P(SE)=0.36 (not part of E) P(S ∩ E') = 0.36 \text{ (not part of E)} Given the independence condition, we find:

ightarrow 0.36 ot\equiv 0.25 $$ Thus, S ∩ E' and G are not independent.

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