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Date November 2015 Marks available 3 Reference code 15N.2.hl.TZ0.11
Level HL only Paper 2 Time zone TZ0
Command term Find Question number 11 Adapted from N/A

Question

A survey is conducted in a large office building. It is found that 30%30% of the office workers weigh less than 6262 kg and that 25%25% of the office workers weigh more than 9898 kg.

The weights of the office workers may be modelled by a normal distribution with mean μμ and standard deviation σσ.

(i)     Determine two simultaneous linear equations satisfied by μμ and σσ.

(ii)     Find the values of μμ and σσ.

[6]
a.

Find the probability that an office worker weighs more than 100100 kg.

[1]
b.

There are elevators in the office building that take the office workers to their offices.

Given that there are 1010 workers in a particular elevator,

find the probability that at least four of the workers weigh more than 100100 kg.

[2]
c.

Given that there are 1010 workers in an elevator and at least one weighs more than 100100 kg,

find the probability that there are fewer than four workers exceeding 100100 kg.

[3]
d.

The arrival of the elevators at the ground floor between 08:0008:00 and 09:0009:00 can be modelled by a Poisson distribution. Elevators arrive on average every 3636 seconds.

Find the probability that in any half hour period between 08:0008:00 and 09:0009:00 more than 6060 elevators arrive at the ground floor.

[3]
e.

An elevator can take a maximum of 1010 workers. Given that 400400 workers arrive in a half hour period independently of each other,

find the probability that there are sufficient elevators to take them to their offices.

[3]
f.

Markscheme

Note:     In Section B, accept answers that correctly round to 2 sf.

 

(i)     let WW be the weight of a worker and WN(μ, σ2)WN(μ, σ2)

P(Z<62μα)=0.3P(Z<62μα)=0.3 and P(Z<98μσ)=0.75P(Z<98μσ)=0.75     (M1)

 

Note:     Award M1 for a correctly shaded and labelled diagram.

 

62μσ=Φ1(0.3)(=0.524)62μσ=Φ1(0.3)(=0.524)and

98μσ=Φ1(0.75)(=0.674)98μσ=Φ1(0.75)(=0.674)

or linear equivalents     A1A1

 

Note:     Condone equations containing the GDC inverse normal command.

 

(ii)     attempting to solve simultaneously     (M1)

μ=77.7, σ=30.0μ=77.7, σ=30.0     A1A1

[6 marks]

a.

Note:     In Section B, accept answers that correctly round to 2 sf.

 

P(W>100)=0.229P(W>100)=0.229     A1

[1 mark]

b.

Note:     In Section B, accept answers that correctly round to 2 sf.

 

let XX represent the number of workers over 100100 kg in a lift of ten passengers

XB(10, 0.229)XB(10, 0.229)     (M1)

P(X4)=0.178P(X4)=0.178     A1

[2 marks]

c.

Note:     In Section B, accept answers that correctly round to 2 sf.

 

P(X<4|X1)=P(1X3)P(X1)P(X<4|X1)=P(1X3)P(X1)     M1(A1)

 

Note:     Award the M1 for a clear indication of a conditional probability.

 

=0.808=0.808     A1

[3 marks]

d.

Note:     In Section B, accept answers that correctly round to 2 sf.

 

LPo(50)LPo(50)     (M1)

P(L>60)=1P(L60)P(L>60)=1P(L60)     (M1)

=0.0722=0.0722     A1

[3 marks]

e.

Note:     In Section B, accept answers that correctly round to 2 sf.

 

400400 workers require at least 4040 elevators     (A1)

P(L40)=1P(L39)P(L40)=1P(L39)     (M1)

=0.935=0.935     A1

[3 marks]

Total [18 marks]

f.

Examiners report

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Syllabus sections

Topic 5 - Core: Statistics and probability » 5.6 » Poisson distribution, its mean and variance.
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