Challenging, exam-style A-Level Large data set fluency questions with worked solutions. Stretch yourself on the hardest standard deviation, iqr, quartiles, range problems.
standard deviationiqrquartilesrangecomparisonmean
A-Level34 questionsStep-by-step solutions
Question 1
8 markschallenging
A relative humidity column (%) reads: 70, 72, 71, 73, 72, 70, 71, 99, 72, 71. Using the 1.5×IQR rule, identify the anomalous reading.
Show worked solution
Worked solution
State the outlier rule
use the 1.5×IQR rule
A value more than 1.5 IQRs beyond a quartile is treated as an anomaly.
List the readings
data: 70,72,71,73,72,70,71,99,72,71
Read the extract as given.
Order the data
ordered: 70,70,71,71,71,72,72,72,73,99
Arrange in ascending order.
Count the values
n=10
There are 10 readings.
Locate the middle value
Q2=71.5
With the data ordered, the median is the central value.
Find the lower quartile
Q1=71
Q_1 lies one quarter of the way through the ordered data.
Find the upper quartile
Q3=72
Q_3 lies three quarters of the way through the ordered data.
Compute the interquartile range
IQR=Q3−Q1=72−71=1
The IQR measures the spread of the middle 50 percent of the data.
Find the lower fence
Q1−1.5×IQR=71−1.5×1=69.5
Anything below this fence is an anomaly.
Find the upper fence
Q3+1.5×IQR=72+1.5×1=73.5
Anything above this fence is an anomaly.
Test the smallest reading
70vs lower fence 69.5
Compare the minimum to the lower fence.
Test the largest reading
99vs upper fence 73.5
Compare the maximum to the upper fence.
Identify the value beyond a fence
anomaly=99
This reading falls outside the fences.
Confirm the rest lie in range
others within [69.5,73.5]
All other readings pass the test.
State the anomalous reading
answer=99
Hence the anomaly is this value.
Answer
99 percent
Question 2
8 markschallenging
A windspeed column (knots) reads: 8, 9, 10, 7, 9, 8, 30, 9, 8, 10. Using the 1.5×IQR rule, identify the anomalous reading.
Show worked solution
Worked solution
State the outlier rule
use the 1.5×IQR rule
A value more than 1.5 IQRs beyond a quartile is treated as an anomaly.
List the readings
data: 8,9,10,7,9,8,30,9,8,10
Read the extract as given.
Order the data
ordered: 7,8,8,8,9,9,9,10,10,30
Arrange in ascending order.
Count the values
n=10
There are 10 readings.
Locate the middle value
Q2=9
With the data ordered, the median is the central value.
Find the lower quartile
Q1=8
Q_1 lies one quarter of the way through the ordered data.
Find the upper quartile
Q3=10
Q_3 lies three quarters of the way through the ordered data.
Compute the interquartile range
IQR=Q3−Q1=10−8=2
The IQR measures the spread of the middle 50 percent of the data.
Find the lower fence
Q1−1.5×IQR=8−1.5×2=5
Anything below this fence is an anomaly.
Find the upper fence
Q3+1.5×IQR=10+1.5×2=13
Anything above this fence is an anomaly.
Test the smallest reading
7vs lower fence 5
Compare the minimum to the lower fence.
Test the largest reading
30vs upper fence 13
Compare the maximum to the upper fence.
Identify the value beyond a fence
anomaly=30
This reading falls outside the fences.
Confirm the rest lie in range
others within [5,13]
All other readings pass the test.
State the anomalous reading
answer=30
Hence the anomaly is this value.
Answer
30 knots
Question 3
8 markschallenging
A temperature column (°C) reads: 21, 20, 22, 23, 21, 20, 22, 4, 21, 22. Using the 1.5×IQR rule, identify the anomalous reading.
Show worked solution
Worked solution
State the outlier rule
use the 1.5×IQR rule
A value more than 1.5 IQRs beyond a quartile is treated as an anomaly.
List the readings
data: 21,20,22,23,21,20,22,4,21,22
Read the extract as given.
Order the data
ordered: 4,20,20,21,21,21,22,22,22,23
Arrange in ascending order.
Count the values
n=10
There are 10 readings.
Locate the middle value
Q2=21
With the data ordered, the median is the central value.
Find the lower quartile
Q1=20
Q_1 lies one quarter of the way through the ordered data.
Find the upper quartile
Q3=22
Q_3 lies three quarters of the way through the ordered data.
Compute the interquartile range
IQR=Q3−Q1=22−20=2
The IQR measures the spread of the middle 50 percent of the data.
Find the lower fence
Q1−1.5×IQR=20−1.5×2=17
Anything below this fence is an anomaly.
Find the upper fence
Q3+1.5×IQR=22+1.5×2=25
Anything above this fence is an anomaly.
Test the smallest reading
4vs lower fence 17
Compare the minimum to the lower fence.
Test the largest reading
23vs upper fence 25
Compare the maximum to the upper fence.
Identify the value beyond a fence
anomaly=4
This reading falls outside the fences.
Confirm the rest lie in range
others within [17,25]
All other readings pass the test.
State the anomalous reading
answer=4
Hence the anomaly is this value.
Answer
4 °C
Question 4
8 markschallenging
A day's rainfall column (mm) reads: 1, 2, 0, 3, 2, 1, 2, 3, 1, 25. Using the 1.5×IQR rule, identify the anomalous reading.
Show worked solution
Worked solution
State the outlier rule
use the 1.5×IQR rule
A value more than 1.5 IQRs beyond a quartile is treated as an anomaly.
List the readings
data: 1,2,0,3,2,1,2,3,1,25
Read the extract as given.
Order the data
ordered: 0,1,1,1,2,2,2,3,3,25
Arrange in ascending order.
Count the values
n=10
There are 10 readings.
Locate the middle value
Q2=2
With the data ordered, the median is the central value.
Find the lower quartile
Q1=1
Q_1 lies one quarter of the way through the ordered data.
Find the upper quartile
Q3=3
Q_3 lies three quarters of the way through the ordered data.
Compute the interquartile range
IQR=Q3−Q1=3−1=2
The IQR measures the spread of the middle 50 percent of the data.
Find the lower fence
Q1−1.5×IQR=1−1.5×2=−2
Anything below this fence is an anomaly.
Find the upper fence
Q3+1.5×IQR=3+1.5×2=6
Anything above this fence is an anomaly.
Test the smallest reading
0vs lower fence −2
Compare the minimum to the lower fence.
Test the largest reading
25vs upper fence 6
Compare the maximum to the upper fence.
Identify the value beyond a fence
anomaly=25
This reading falls outside the fences.
Confirm the rest lie in range
others within [−2,6]
All other readings pass the test.
State the anomalous reading
answer=25
Hence the anomaly is this value.
Answer
25 mm
Question 5
8 markschallenging
Location A recorded daily mean temperatures (°C) of 22, 24, 26, 28, 24, 26, 22, 28 and Location B recorded 15, 17, 19, 21, 17, 19, 15, 21 over the same 8 days. After summarising both locations, find the difference between their mean temperatures (A minus B).
Show worked solution
Worked solution
Set up the comparison
compare means of A and B
We compute a summary for each location then compare.
Total location A
∑xA=22+22+24+24+26+26+28+28=200
Add the readings for A.
Mean of A
xˉA=8200=25
Divide A's total by its count.
Order location A
A ordered: 22,22,24,24,26,26,28,28
Sort A to read off spread.
Range of A
rangeA=28−22=6
Largest minus smallest for A.
IQR of A
IQRA=27−23=4
Spread of the middle 50 percent of A.
Total location B
∑xB=15+15+17+17+19+19+21+21=144
Add the readings for B.
Mean of B
xˉB=8144=18
Divide B's total by its count.
Order location B
B ordered: 15,15,17,17,19,19,21,21
Sort B to read off spread.
Range of B
rangeB=21−15=6
Largest minus smallest for B.
IQR of B
IQRB=20−16=4
Spread of the middle 50 percent of B.
Compare the spreads
IQRA=4,IQRB=4
State which location is more variable by IQR.
Standard deviation of A
σA=2.24
A's spread measured by standard deviation.
Standard deviation of B
σB=2.24
B's spread measured by standard deviation.
Difference in means
xˉA−xˉB=25−18=7
The required difference between the two location means.
Answer
7
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