Photo AI

Jake and Kamil are sometimes late for school - Edexcel - A-Level Maths Statistics - Question 6 - 2011 - Paper 2

Question icon

Question 6

Jake-and-Kamil-are-sometimes-late-for-school-Edexcel-A-Level Maths Statistics-Question 6-2011-Paper 2.png

Jake and Kamil are sometimes late for school. The events J and K are defined as follows J = the event that Jake is late for school K = the event that Kamil is late ... show full transcript

Worked Solution & Example Answer:Jake and Kamil are sometimes late for school - Edexcel - A-Level Maths Statistics - Question 6 - 2011 - Paper 2

Step 1

a) at least one of Jake or Kamil are late for school

96%

114 rated

Answer

To find the probability that at least one of Jake or Kamil is late for school, we can use the complement method:

P(JK)=1P(JK)P(J ∪ K) = 1 - P(J' ∩ K') Substituting the given values: P(JK)=0.7P(J' ∩ K') = 0.7 Thus, P(JK)=10.7=0.3P(J ∪ K) = 1 - 0.7 = 0.3

Therefore, the probability that at least one of Jake or Kamil is late for school is 0.3.

Step 2

b) Kamil is late for school

99%

104 rated

Answer

To find the probability that Kamil is late for school, we need to directly use the provided probability statement:

P(K)=P(JK)+P(JK)P(K) = P(J ∩ K) + P(J' ∩ K) Knowing that:

  • P(JK)=0.15P(J ∩ K) = 0.15
  • To find: P(K)=P(Jextlate)+P(Jextlate)P(K) = P(J ext{ late}) + P(J' ext{ late}) You can rearrange the use of the joint probability to find P(K)P(K) if needed (but it's directly not provided, so we take a value).

However, with given context: Conversely, if we assume area is covered with known probabilities, we have: P(K)=P(Jextlate)0.15P(K) = P(J ext{ late}) - 0.15 Considering we can derive equivalently via totals, thus: The probability that Kamil is late for school is to be calculated by knowing other events' statistics.

Step 3

c) find the probability that Kamil is late

96%

101 rated

Answer

Given that Jake is late for school, we want to calculate: P(KJ)=P(JK)P(J)P(K | J) = \frac{P(J ∩ K)}{P(J)} Substituting in the values:

  • P(JK)=0.15P(J ∩ K) = 0.15
  • P(J)=0.25P(J) = 0.25

Thus: P(KJ)=0.150.25=0.6P(K | J) = \frac{0.15}{0.25} = 0.6

Therefore, the probability that Kamil is late given that Jake is late is 0.6.

Step 4

d) Determine whether or not J and K are statistically independent

98%

120 rated

Answer

To determine independence, we check: P(JK)=P(J)imesP(K)P(J ∩ K) = P(J) imes P(K) From our previous findings, we note:

  • P(J)=0.25P(J) = 0.25
  • And assuming we derive K as say later from supports in b) and c) yielding relations together for checks if totaling outer values yield true or needing corrections. Since we have interaction: The independence is noted by these relations equating to 0.075 (multiplying independent factors) which does not equate to joint found. Hence, Jake and Kamil's lateness are not independent.

Step 5

e) Comment on the teacher’s suspicion in the light of your calculation in (d).

97%

117 rated

Answer

The calculations indicate that the lateness of Jake and Kamil are not statistically independent. This confirms the teacher's suspicion that Jake being late is linked to Kamil being late, as their probabilities do not act separately—rather, they are influenced by each other. Therefore, the teacher's suspicion appears valid given the calculations.

Join the A-Level students using SimpleStudy...

97% of Students

Report Improved Results

98% of Students

Recommend to friends

100,000+

Students Supported

1 Million+

Questions answered

;