OCR Further Statistics 2022 June — Question 5 10 marks

Exam BoardOCR
ModuleFurther Statistics (Further Statistics)
Year2022
SessionJune
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicLinear combinations of normal random variables
TypeSingle period profit/loss calculation
DifficultyStandard +0.3 This is a straightforward application of linear transformations of normal distributions and sums of independent normals. Part (a) requires converting a cost threshold to a distance and using normal tables. Part (b) involves forming a linear combination of independent normals and standardizing. While it requires careful bookkeeping of coefficients, the techniques are standard for Further Statistics with no novel insight required.
Spec5.04b Linear combinations: of normal distributions

5 A company uses two drivers for deliveries.
Driver \(A\) charges a fixed rate of \(\pounds 80\) per day plus \(\pounds 2\) per mile travelled on that day. Driver \(B\) charges a fixed rate of \(\pounds 120\) per day plus \(\pounds 1.50\) per mile travelled on that day.
On each working day the total distance, in miles, travelled by each driver is a random variable with the distribution \(\mathrm { N } ( 83,360 )\).
  1. Find the probability that driver \(A\) charges the company less than \(\pounds 235.00\) for a randomly chosen day's deliveries.
  2. Find the probability that the total charge to the company of three randomly chosen days' deliveries by driver \(A\) is at least \(\pounds 300\) more than the total charge of two randomly chosen days' deliveries by driver \(B\).

Question 5:
AnswerMarks Guidance
5(a) 80 + 2X
~ N(246, …
… 1440)
AnswerMarks
P(< £235) = 0.386M1
M1
A1
A1
AnswerMarks
[4]3.1b
1.1
1.1
AnswerMarks
3.4Consider distribution of 80 + 2X
Normal with mean 246
Correct variance
AnswerMarks
Awrt 0.386OR: make X subject M1
X < 77.5 (or  77) A1
P(X < 77.5) from N(83, 360) M1, allow  77
P(< £235) = 0.386 A1 (0.376 A0)
Or P(2X < 155) where 2X ~ N(166, 1440)
AnswerMarks
(b)Using costs A , A , A , B , B :
1 2 3 1 2
A = 80 + 2X ~ N(246, 1440)
1 1
B = 120 + 1.5X ~ N(244.5, 810)
1 4
A + A + A ~ N(738, 4320)
1 2 3
B + B ~ N(489, 1620)
1 2
Difference ~ N(249, 5940)
AnswerMarks
P(diff  300) = 0.254B1
B1
B1
B1
M1
AnswerMarks
A1 [6]1.1
2.2a
1.1
1.1
3.1b
AnswerMarks
3.4Means 246, 244.5, can be implied by later work
Variances 1440, 810, ditto
Means 738 & 489, allow 498 & 249
Variances 4320 and 1620
Use normal for difference, add variances
AnswerMarks
Awrt 0.254, allow 0.02 if cc usedIf in effect using 3X, 2Y:
Means 246, 244.5 B1
Variances 1440, 810 B1
Means 738, 489 B1
Variances 12960, 3240 B0
N(249, 16200) M1
0.344 A0
AnswerMarks
ORUsing distances X , X , X , X , X :
1 2 3 4 5If in effect using 3X, 2Y:
X + X + X ~ N(249, 1080)
AnswerMarks Guidance
1 2 3B1 Means 249, 166, can be implied by later work
X + X ~ N(166, 720)
AnswerMarks Guidance
4 5B1 Variances 1080, 720, ditto
A’s charge ~ N(738, 4320)B1 Means 738 & 249, allow 498 & 249
B’s charge ~ N(489, 1620)B1 Variances 4320 and 1620
Difference ~ N(249, 5940)M1 Use normal for difference, add variances
P(diff  300) = 0.254A1 Awrt 0.254, allow 0.02 if cc used
ORDiff in costs is 2(X +X +X ) – 1.5(X +X )
1 2 3 4 5M1A1 M1 needs attempt to include constants
~ N(249, 5940)M1A2 M1 N(249, ...), A2 variance correct, A1 for 16200
P(diff  300) = 0.254A1 Awrt 0.254, allow 0.02 if cc used
SC1: insufficient working shown0.254 www gets 6/6; 0.746 www gets 5/6 [A0] 0.344 www gets 4/6 [A0A0]; all else 0/6
SC2: assume all/both variables equal:M1A1 3X > 300 M1 N(249, 3240) or N(51, 3240) A1
Question 5:
5 | (a) | 80 + 2X
~ N(246, …
… 1440)
P(< £235) = 0.386 | M1
M1
A1
A1
[4] | 3.1b
1.1
1.1
3.4 | Consider distribution of 80 + 2X
Normal with mean 246
Correct variance
Awrt 0.386 | OR: make X subject M1
X < 77.5 (or  77) A1
P(X < 77.5) from N(83, 360) M1, allow  77
P(< £235) = 0.386 A1 (0.376 A0)
Or P(2X < 155) where 2X ~ N(166, 1440)
(b) | Using costs A , A , A , B , B :
1 2 3 1 2
A = 80 + 2X ~ N(246, 1440)
1 1
B = 120 + 1.5X ~ N(244.5, 810)
1 4
A + A + A ~ N(738, 4320)
1 2 3
B + B ~ N(489, 1620)
1 2
Difference ~ N(249, 5940)
P(diff  300) = 0.254 | B1
B1
B1
B1
M1
A1 [6] | 1.1
2.2a
1.1
1.1
3.1b
3.4 | Means 246, 244.5, can be implied by later work
Variances 1440, 810, ditto
Means 738 & 489, allow 498 & 249
Variances 4320 and 1620
Use normal for difference, add variances
Awrt 0.254, allow 0.02 if cc used | If in effect using 3X, 2Y:
Means 246, 244.5 B1
Variances 1440, 810 B1
Means 738, 489 B1
Variances 12960, 3240 B0
N(249, 16200) M1
0.344 A0
OR | Using distances X , X , X , X , X :
1 2 3 4 5 | If in effect using 3X, 2Y:
X + X + X ~ N(249, 1080)
1 2 3 | B1 | Means 249, 166, can be implied by later work | Means 249, 166 B1
X + X ~ N(166, 720)
4 5 | B1 | Variances 1080, 720, ditto | Variances 3240, 1440 B0
A’s charge ~ N(738, 4320) | B1 | Means 738 & 249, allow 498 & 249 | Means 738, 489 B1
B’s charge ~ N(489, 1620) | B1 | Variances 4320 and 1620 | Variances 12960, 3240 B1 NB
Difference ~ N(249, 5940) | M1 | Use normal for difference, add variances | N(249, 16200) M1
P(diff  300) = 0.254 | A1 | Awrt 0.254, allow 0.02 if cc used | 0.344 A0
OR | Diff in costs is 2(X +X +X ) – 1.5(X +X )
1 2 3 4 5 | M1A1 | M1 needs attempt to include constants
~ N(249, 5940) | M1A2 | M1 N(249, ...), A2 variance correct, A1 for 16200 | SC: variance formula seen correct but
P(diff  300) = 0.254 | A1 | Awrt 0.254, allow 0.02 if cc used | wrongly calculated: (M1)M1 SCM1
SC1: insufficient working shown | 0.254 www gets 6/6; 0.746 www gets 5/6 [A0] | 0.344 www gets 4/6 [A0A0]; all else 0/6
SC2: assume all/both variables equal: | M1A1 | 3X > 300 M1 N(249, 3240) or N(51, 3240) A1 | Or N(83, 360) and compare 100: A1 (0.185)
5 A company uses two drivers for deliveries.\\
Driver $A$ charges a fixed rate of $\pounds 80$ per day plus $\pounds 2$ per mile travelled on that day.

Driver $B$ charges a fixed rate of $\pounds 120$ per day plus $\pounds 1.50$ per mile travelled on that day.\\
On each working day the total distance, in miles, travelled by each driver is a random variable with the distribution $\mathrm { N } ( 83,360 )$.
\begin{enumerate}[label=(\alph*)]
\item Find the probability that driver $A$ charges the company less than $\pounds 235.00$ for a randomly chosen day's deliveries.
\item Find the probability that the total charge to the company of three randomly chosen days' deliveries by driver $A$ is at least $\pounds 300$ more than the total charge of two randomly chosen days' deliveries by driver $B$.
\end{enumerate}

\hfill \mbox{\textit{OCR Further Statistics 2022 Q5 [10]}}