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Descriptive Statistics

Practice exam-style IB Math AI questions for Descriptive Statistics, aligned with the syllabus and grouped by topic.

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Question 1
SL • Paper 1
Easy
Calculator Permitted
SL • Paper 1
Easy
Calculator Permitted

A school has 480480 students in grade 10, 360360 students in grade 11 and 240240 students in grade 12. A researcher wants a representative sample of 9090 students to weekly study time.

A

the most appropriate sampling method for ensuring that each grade is represented proportionally.

[1]
B

the number of students that should be selected from each grade.

[3]
C

why selecting all 9090 students from grade 10 would be unsuitable.

[1]
Question 2
SL • Paper 1
Easy
Calculator Permitted
SL • Paper 1
Easy
Calculator Permitted

The times taken by 2525 customers to complete an online form are summarized in the table.

Completion time t [min]

Frequency

0 ≤ t < 10

4

10 ≤ t < 20

7

20 ≤ t < 30

9

30 ≤ t < 40

5

Total

25

A

the modal class.

[1]
B

the mean completion time.

[3]
C

why the value found in part (b) is an .

[1]
Question 3
SL • Paper 1
Easy
Calculator Permitted
SL • Paper 1
Easy
Calculator Permitted

The masses of 3030 parcels are displayed in a grouped frequency table. All class intervals have equal width.

Mass interval, m [kg]

Frequency

0 ≤ m < 5

3

5 ≤ m < 10

8

10 ≤ m < 15

12

15 ≤ m < 20

4

20 ≤ m < 25

3

A

the modal class.

[1]
B

the percentage of parcels with mass less than 1515 kg.

[2]
C

two features that a histogram of these data from a bar chart.

[2]
Question 4
SL • Paper 1
Medium
Calculator Permitted
SL • Paper 1
Medium
Calculator Permitted

The delivery times, in minutes, for ten orders are

12,14,15,15,16,17,18,19,20,4312,14,15,15,16,17,18,19,20,43.

For these data, Q1=15Q_1=15 and Q3=19Q_3=19.

A

whether 4343 is an outlier.

[3]
B

The value 4343 is found to be a recording error and is removed. the mean delivery time of the remaining orders.

[2]

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Question 5
SL • Paper 1
Medium
Calculator Permitted
SL • Paper 1
Medium
Calculator Permitted

The mean temperature of a set of measurements in degrees Celsius is 24.024.0, and the population standard deviation is 3.503.50. Each temperature xx is converted to degrees Fahrenheit using y=1.8x+32y=1.8x+32.

A

the mean of the converted temperatures.

[2]
B

the population variance of the converted temperatures.

[2]
C

the effect of adding 3232 on the standard deviation.

[1]
Question 6
SL • Paper 1
Medium
Calculator Permitted
SL • Paper 1
Medium
Calculator Permitted

The cumulative frequency graph shows the journey times, in minutes, of 8080 commuters.

A

the lower and upper quartiles.

[2]
B

the median journey time.

[1]
C

the interquartile range.

[1]
D

the number of commuters whose journey time is greater than 3535 minutes.

[2]
Question 7
SL • Paper 1
Medium
Calculator Permitted
SL • Paper 1
Medium
Calculator Permitted

Box-and-whisker diagrams the scores of two groups, A and B, on the same test.

Statistic

Group A

Group B

Minimum

42

40

Q1

48

45

Median

54

58

Q3

60

65

Highest non-outlier

66

76

Outlier

None

92

A

the typical scores of the two groups.

[1]
B

the spread of the middle half of the scores.

[2]
C

which group is more consistent with a normal distribution. your answer.

[2]
Question 8
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

A company has an ordered of 840840 employees. A researcher uses systematic sampling to select 6060 employees. A random starting position of 99 is chosen.

A

the sampling interval.

[2]
B

the first three and the final employee positions selected.

[2]
C

The repeats a pattern of job roles every 1414 positions. why this may make the sample biased.

[1]

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Question 9
SL • Paper 1
Medium
Calculator Permitted
SL • Paper 1
Medium
Calculator Permitted

The table shows the number of faults found in a batch of electronic devices. The frequency corresponding to two faults is kk. The mean number of faults is 2.502.50.

Number of faults

Frequency

1

3

2

k

3

5

4

2

A

the value of kk.

[3]
B

the population standard deviation of the number of faults.

[1]
C

A new variable is formed by adding 55 to every number of faults. the mean and population standard deviation of the new variable.

[2]
Question 10
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

A data set XX has five-number summary

4,7,10,15,194,7,10,15,19.

A new data set YY is formed using y=30−2xy=30-2x.

A

the five-number summary of YY.

[3]
B

the interquartile range of YY.

[1]
C

An additional value x=24x=24 is transformed to a value of YY. whether its transformed value is an outlier of YY.

[2]
Question 11
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

A data set has lower quartile 2020 and upper quartile xx, where x>20x>20. The data value 5050 is being tested as a possible upper outlier.

A

When x=28x=28, whether 5050 is an outlier.

[3]
B

the value of xx for which 5050 lies exactly on the upper outlier fence.

[2]
C

whether 5050 is classified as an outlier when x=32x=32.

[1]
Question 12
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

A grouped frequency table summarizes the durations of telephone calls. The frequency in the interval 20≤t<3020\leq t<30 is pp. The estimated mean duration is 2222 minutes.

Call duration t [min]

Frequency

0 ≤ t < 10

2

10 ≤ t < 20

5

20 ≤ t < 30

p

30 ≤ t < 40

3

A

pp.

[2]
B

the modal class.

[1]
C

Give two reasons why the calculated mean may differ from the mean of the original call durations.

[2]

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Question 13
HL • Paper 1
Medium
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HL • Paper 1
Medium
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The cumulative frequency graph shows the waiting times, in minutes, of 120120 patients at a clinic.

A

the lower quartile, median and upper quartile.

[3]
B

Using a minimum of 1010 minutes and a maximum of 4646 minutes, a box-and-whisker diagram for the waiting times.

[2]
C

The 8585th percentile is approximately 3838 minutes. the number of patients who waited more than 3838 minutes.

[1]
Question 14
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

A university has 12001200 science students, 800800 arts students and 500500 business students. Researchers want a sample of 125125 students. They set proportional targets for each faculty, email all students and accept the first volunteers until each target is filled.

A

the proportional target for each faculty.

[2]
B

the sampling method actually used and why it is not proportional stratified random sampling.

[2]
C

why increasing the sample size would not necessarily remove the bias.

[1]
D

one change that would make the sample less biased while retaining proportional representation.

[1]
Question 15
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

Group A contains 2020 observations with mean 1212 and population standard deviation 33. Group B contains 3030 observations with mean 1818 and population standard deviation 44. The groups are combined.

A

the mean of the combined group.

[2]
B

the population standard deviation of the combined group.

[3]
C

why the combined standard deviation is greater than the standard deviation of either group.

[1]
Question 16
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

A population data set contains 2525 values. Its recorded mean is 48.248.2 and its recorded population variance is 16.016.0. One value was recorded as 6262 but should have been 5252.

A

the corrected mean.

[2]
B

the corrected population variance.

[3]
C

the corrected population standard deviation.

[1]
D

why correcting the value reduces the standard deviation.

[1]

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Question 17
SL • Paper 2
Medium
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SL • Paper 2
Medium
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A conservation organization wishes to the number of hours spent each month by volunteers in three nature reserves. The reserves have 250250, 400400 and 550550 registered volunteers respectively. A proportional stratified random sample of 9696 volunteers is selected.

A
I.

the population in this investigation.

[1]
II.

whether the number of hours volunteered is discrete or continuous.

[1]
B

the number of volunteers that should be selected from each reserve.

[2]
C

The organization has a complete numbered of the volunteers in each reserve. how the required volunteers could be selected so that the sample is proportional stratified and random.

[2]
D

A coordinator instead surveys the first 9696 volunteers arriving at a weekend training event. why increasing this convenience sample to 200200 volunteers would not necessarily remove the bias.

[2]
Question 18
SL • Paper 2
Medium
Calculator Permitted
SL • Paper 2
Medium
Calculator Permitted

The cycling times, tt minutes, of 4040 participants are summarized below.

Time interval0≤t<100\le t<1010≤t<2010\le t<2020≤t<3020\le t<3030≤t<4030\le t<4040≤t<5040\le t<50
Frequency449915158844
A
I.

the modal class.

[1]
II.

the mean cycling time.

[3]
B

the percentage of participants whose cycling time was at least 3030 minutes.

[2]
C

A model estimates the energy used by a participant as E=6t+20E=6t+20, where EE is measured in kilojoules. the mean energy used.

[2]
D

why the mean found in part (a)(ii) is only an .

[1]
Question 19
SL • Paper 2
Medium
Calculator Permitted
SL • Paper 2
Medium
Calculator Permitted

A sensor recorded the daily number of litres of water used by a greenhouse as

16,17,18,18,19,19,20,20,20,21,22,22,23,23,3916,17,18,18,19,19,20,20,20,21,22,22,23,23,39

For these data, Q1=18Q_1=18 and Q3=22Q_3=22. The final value is later found to have been entered incorrectly.

A
I.

the interquartile range.

[1]
II.

the lower and upper outlier fences.

[2]
B

whether the recorded value 3939 is an outlier. your answer.

[1]
C

The value 3939 should have been 1919. the corrected mean water use.

[2]
D

Before the recording error was discovered, why the median would have been a more representative measure of typical water use than the mean.

[2]
Question 20
SL • Paper 2
Medium
Calculator Permitted
SL • Paper 2
Medium
Calculator Permitted

The cumulative frequency graph shows the operating lifetimes, in hours, of 100100 rechargeable batteries.

A

Use the graph to each of the following:

I.

lower quartile;

[1]
II.

median;

[1]
III.

upper quartile.

[1]
B

the interquartile range.

[1]
C

The graph indicates that 9090 batteries lasted at most 700700 hours. the number of batteries that lasted more than 700700 hours.

[2]
D

the 9090th percentile and its meaning in context.

[2]

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Question 21
SL • Paper 2
Medium
Calculator Permitted
SL • Paper 2
Medium
Calculator Permitted

The box-and-whisker diagrams assessment scores for classes A and B. Class A has five-number summary 42,56,63,70,8242,56,63,70,82. Class B has non-outlying five-number summary 38,60,64,68,7538,60,64,68,75, with outliers at 9191 and 9595.

A

For the two classes,

I.

the median scores;

[1]
II.

and the interquartile ranges.

[2]
B

Based only on the interquartile ranges, which class has more consistent scores. Give a reason.

[1]
C

which class is more consistent with a normal distribution. your answer using two features of the box plots.

[2]
D

At least what percentage of the non-outlying scores in class B are greater than or equal to 6060? your answer.

[2]
Question 22
SL • Paper 2
Medium
Calculator Permitted
SL • Paper 2
Medium
Calculator Permitted

A set of salinity measurements, xx, has mean 34.834.8, population standard deviation 0.6000.600, lower quartile 34.434.4, median 34.934.9 and upper quartile 35.235.2. A calibrated sensor reports

y=1.02x−0.7y=1.02x-0.7

A

the

I.

mean of the calibrated measurements;

[2]
II.

population standard deviation of the calibrated measurements.

[1]
B

the population variance of the calibrated measurements.

[1]
C

the lower quartile, median and upper quartile of the calibrated measurements.

[2]
D

separately how multiplying by 1.021.02 and subtracting 0.70.7 affect the spread of the data.

[2]
Question 23
SL • Paper 2
Medium
Calculator Permitted
SL • Paper 2
Medium
Calculator Permitted

The increases in height, hh cm, of 2424 seedlings are summarized below.

Height increase0≤h<20\le h<22≤h<42\le h<44≤h<64\le h<66≤h<86\le h<88≤h<108\le h<10
Frequency3377pp5511
A
I.

the value of pp.

[1]
II.

the modal class.

[1]
B

the mean increase in height.

[2]
C

the percentage of seedlings with an increase of less than 66 cm.

[2]
D

two features that a correctly drawn histogram of these data must have.

[2]
Question 24
HL • Paper 3
Medium
Calculator Permitted
HL • Paper 3
Medium
Calculator Permitted

The numbers of minutes spent resolving 1515 technical-support cases are

12,14,15,16,17,18,18,19,20,21,22,24,25,27,4612,14,15,16,17,18,18,19,20,21,22,24,25,27,46.

For these data, the calculator quartiles are Q1=16Q_1=16 and Q3=24Q_3=24.

A
I.

the interquartile range and the two outlier fences.

[2]
II.

classify any outliers.

[2]
B

the change in the mean if the 4646-minute case is removed.

[2]
C

Assess whether identifying the 4646-minute value as an outlier is sufficient justification for removing it from the investigation.

[2]

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Question 25
SL • Paper 2
Hard
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SL • Paper 2
Hard
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At a city sustainability festival, researchers ask the first 360360 visitors to a recycling station to report their weekly household waste. Of these visitors, 144144 submit a form. Twelve respondents leave the waste question blank. The missing entries are recorded as zero, giving a reported mean of 8.50 kg8.50\ \text{kg} for all 144144 forms.

A
I.

the intended population if the researchers wish to conclusions about all households in the city.

[1]
II.

the sampling method used to approach the 360360 visitors.

[1]
B

two ways in which the obtained responses may be biased.

[2]
C

The researchers decide to exclude the 1212 missing entries rather than treat them as zero. the mean for the 132132 recorded waste values.

[2]
D

why consistently treating every missing entry as zero could make the procedure reliable but not valid.

[2]
Question 26
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

Two machines produce metal rods. Machine A produces 2020 rods with mean length 5050 cm and population standard deviation 22 cm. Machine B produces 3030 rods with mean length 5454 cm and population standard deviation 33 cm. The 5050 rods are treated as one population.

A
I.

the sum of the lengths of all 5050 rods.

[1]
II.

the combined mean length.

[2]
B

the population standard deviation of the lengths of all 5050 rods.

[4]
C

Every rod length is converted using y=1.5x−4y=1.5x-4. the mean and population standard deviation of yy.

[2]
Question 27
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
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A population data set contains 2424 measurements with mean 18.518.5. Its lower and upper quartiles are 1515 and 2121 respectively. One additional measurement, xx, is added to the data set. The mean of the enlarged data set is 19.219.2.

A

The mean of the 2525 measurements is 19.219.2.

I.

Form an equation in xx and xx.

[2]
B

Using the quartiles of the original data set, whether xx is an outlier.

[3]
C

the greatest possible mean of the enlarged data set if the added value must not exceed the original upper outlier fence.

[2]
D

why a complete outlier analysis of the enlarged data set may require its quartiles to be recalculated.

[1]
Question 28
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
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A laboratory records the operating lives of 1212 prototype batteries. The recorded mean is 48.548.5 hours and the recorded population standard deviation is 4.204.20 hours. During a review, one recorded value of 5959 hours is found to be a transcription error; the correct value is 5050 hours. The prototypes were supplied by engineers who volunteered to participate in the study.

A
I.

the corrected mean operating life.

[2]
II.

the corrected population standard deviation.

[3]
B

Evaluate the claim that increasing the number of voluntarily supplied prototypes would, by itself, make the results representative of all batteries produced by the laboratory.

[3]

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Question 29
HL • Paper 3
Hard
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HL • Paper 3
Hard
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The masses, in kilograms, of discarded material collected from households are summarized in a grouped frequency table. The class intervals are 0≤m<100\leq m<10, 10≤m<2010\leq m<20, 20≤m<3020\leq m<30 and 30≤m<4030\leq m<40, with respective frequencies 44, pp, 1010 and 66. The estimated mean mass is 20.020.0 kg.

Mass mm [kg]

Frequency

0≤m<100\leq m<10

4

10≤m<2010\leq m<20

pp

20≤m<3020\leq m<30

10

30≤m<4030\leq m<40

6

A
I.

the value of pp.

[2]
II.

the modal class.

[1]
B
I.

the population standard deviation of the masses.

[2]
II.

A disposal score is defined by s=1.2m+3s=1.2m+3. the estimated mean and population standard deviation of the scores. If you did not obtain an answer to part (b)(i), use 9.009.00 kg.

[2]
C

why the mean mass obtained from the table is an .

[1]
Question 30
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

A hospital has an ordered of 960960 staff members. A researcher plans to select 8080 staff members using a systematic sample. The consists of 8080 blocks of 1212 roster positions. In each block, one specified position is occupied by a night-shift worker; assignments at all other positions may vary between blocks. The hospital employs 480480 day-shift staff, 300300 evening-shift staff and 180180 night-shift staff.

A
I.

the systematic sampling interval.

[1]
II.

how this roster arrangement could produce a severely biased sample.

[2]
B

The researcher instead uses a proportional stratified random sample by shift. the number selected from each shift.

[3]
C

Give one advantage and one limitation of the stratified method in this context.

[2]
Question 31
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

A council asks 200200 randomly selected residents to rate a new public park on a scale from 00 to 1010. There are 150150 responses, with a total score of 780780. A spreadsheet replaces each of the 5050 missing responses by 00 and reports a mean score of 3.903.90. The council believes every missing score, if known, would lie between 44 and 88 inclusive.

A
I.

the mean score of the residents who responded.

[1]
II.

why replacing a missing response by zero is not valid.

[2]
B

the lowest and highest possible mean score for all 200200 selected residents under the council's belief.

[3]
C

why the original random selection does not guarantee that the 150150 responses are unbiased.

[2]
Question 32
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
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Two machines fill bottles with juice. Their five-number summaries, in millilitres, are shown below.

Machine A: 48,50,52,55,5948,50,52,55,59

Machine B: 45,51,54,57,6045,51,54,57,60

A separate test bottle contains 7070 ml.

Machine

Minimum / mL

Lower quartile / mL

Median / mL

Upper quartile / mL

Maximum / mL

A

48

50

52

55

59

B

45

51

54

57

60

A
I.

the typical fill volumes and the spreads of the middle halves.

[2]
II.

which machine has the greater overall range.

[1]
B

Using each machine's stated quartiles, how the 7070 ml bottle would be classified.

[3]
C

Machine A's readings are recalibrated using y=1.5x−20y=1.5x-20. the transformed median and interquartile range.

[2]

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Question 33
HL • Paper 3
Hard
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HL • Paper 3
Hard
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Two statistical software packages use different quartile conventions for the same short data set. Package P reports Q1=8Q_1=8 and Q3=14Q_3=14. Package Q reports Q1=8.5Q_1=8.5 and Q3=15Q_3=15. The data set contains an observation of 2424.

A
I.

Using Package P, whether 2424 is an outlier.

[2]
II.

Using Package Q, whether 2424 is an outlier.

[2]
B

why the two classifications do not necessarily indicate that either package is mathematically incorrect.

[2]
C

how a published report should present this result to avoid misleading readers.

[2]
Question 34
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
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A measuring instrument is tested on the same eight reference components on two occasions. On the first occasion, the readings have mean 100.4100.4 units and population standard deviation 1.201.20 units. Every second-occasion reading is exactly 2.002.00 units greater than its corresponding first-occasion reading. The certified value for each component is close to 100100 units.

A
I.

the mean and population standard deviation of the second-occasion readings.

[2]
II.

the change in the population variance.

[1]
B

Discuss separately what the results about the reliability and validity of the instrument.

[3]
C

A technician corrects each second reading using c=x−2c=x-2. the corrected mean and standard deviation, and one limitation of concluding that the instrument is now valid.

[2]
Question 35
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
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An international organization compares monthly household energy costs. In Country A, the mean cost is 4200042000 local currency units with population standard deviation 80008000. The conversion to a common unit is y=0.025xy=0.025x. In Country B, the reported mean is 11001100 common units with population standard deviation 150150 common units. Country A records taxes in the cost, while Country B excludes taxes.

A
I.

Convert Country A's mean and population standard deviation to the common unit.

[2]
II.

the typical costs and their dispersion using the converted statistics.

[2]
B

Evaluate whether the converted statistics support a valid comparison of the countries' monthly household energy costs. Give a justified conclusion, referring to the converted statistics and the different cost definitions.

[2]
C

any two distinct pieces of methodological information that should be checked before the organization publishes a comparison.

[2]
Question 36
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

The number of defects found on a component takes the values 00, 11, 22, 33 and 44. Their respective frequencies are 33, 55, kk, 44 and 22. The mean number of defects is 1.901.90. The quality score is defined by q=10−3xq=10-3x, where xx is the number of defects.

Number of defects xx

Frequency ff

0

3

1

5

2

k

3

4

4

2

A
I.

the value of kk.

[2]
II.

the mode.

[1]
B

the population standard deviation of the number of defects.

[2]
C

A quality score is defined by q=10−3xq=10-3x, where xx is the number of defects.

I.

the mean and population standard deviation of the quality score. If you did not obtain an answer to part (b), use 0.9780.978.

[2]
II.

why the most frequent defect count produces the most frequent quality score despite the negative multiplier.

[1]

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Question 37
HL • Paper 2
Hard
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HL • Paper 2
Hard
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The number of faults, xx, found in each of 2525 manufactured panels is summarized below.

xx0011223344
Frequency33aa88bb22

The mean number of faults is 22.

A
I.

Form two simultaneous equations in aa and bb.

[2]
II.

aa and bb.

[1]
B

the mode of the number of faults.

[1]
C

the population variance and population standard deviation of the number of faults.

[3]
D

A quality score is defined by y=10−2xy=10-2x. the mean and population standard deviation of the quality scores.

[2]
Question 38
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
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A box for a data set XX has non-outlying five-number summary

8,12,17,23,318,12,17,23,31

Two additional values, −8-8 and 4040, are plotted separately. A transformed data set is defined by y=100−3xy=100-3x.

A
I.

the interquartile range and the outlier fences for XX.

[2]
II.

that both additional values are outliers.

[1]
B

the transformed non-outlying five-number summary, in increasing order.

[3]
C

Transform the two outliers and using the transformed outlier fences that they remain outliers.

[2]
D

why any non-zero linear transformation preserves whether a value lies beyond an outlier fence.

[1]
Question 39
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

A public transport authority employs staff in four districts. The district populations are 510510, 340340, 275275 and 125125, giving 12501250 employees in total. A proportional stratified random sample of 7373 employees is required.

A
I.

the unrounded proportional allocation for each district.

[2]
II.

Use the largest-remainder method to obtain integer allocations with total 7373.

[2]
B

why the employees must be selected randomly within each district.

[1]
C

As an alternative, the authority considers a systematic sample of 5050 employees from the complete ordered . the sampling interval and, for a random starting position of 1111, the first three and final selected positions.

[2]
D

The ordered repeats a work-shift pattern every 2525 positions. why this threatens the systematic sample.

[1]
Question 40
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

The daily masses, mm kg, of material processed by 3535 laboratory units are grouped as follows.

Mass interval / kg0≤m<50\le m<55≤m<105\le m<1010≤m<1510\le m<1515≤m<2015\le m<2020≤m<2520\le m<25
Frequency449912127733
A

Using the grouped data, the

I.

mean mass;

[3]
II.

population standard deviation.

[2]
B

Every observation is within 2.52.5 kg of its class midpoint. the smallest interval that is guaranteed to contain the exact mean of the ungrouped data.

[2]
C

A calibration error is discovered: every mass should be increased by 0.80.8 kg. the corrected estimated mean and population standard deviation.

[2]
D

one limitation of using the grouped standard deviation to the original measurements.

[1]

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Question 41
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

The table gives cumulative frequencies for the completion times, tt minutes, of 100100 computer tasks.

tt00101020203030404050506060
Cumulative frequency00882626545478789494100100

Assume linear interpolation between consecutive points.

A

Use linear interpolation to the

I.

lower quartile;

[1]
II.

median;

[1]
III.

upper quartile.

[1]
B

the interquartile range.

[1]
C

Use these estimates to the outlier fences. whether any task time in the displayed range could be classified as an outlier.

[2]
D

the percentile rank of a completion time of 3535 minutes.

[2]
E

the assumption about the observations within each interval that is made when using linear interpolation.

[1]
Question 42
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

A data set XX has lower quartile aa and upper quartile 3a3a, where a>0a>0. An additional observation has value 10a10a. Let YY be the data set obtained by transforming every value in XX using y=50−2xy=50-2x. The additional observation is transformed separately in part (b)(ii).

A
I.

the upper outlier fence for XX.

[2]
II.

10a10a is an outlier of XX.

[1]
B
I.

Q1Q_1, Q3Q_3 and the interquartile range of YY.

[2]
II.

whether the transformed additional observation is an outlier relative to YY.

[1]
C

why a transformation y=bx+cy=bx+c, where b≠0b\neq0, preserves whether an observation is an outlier.

[2]
Question 43
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

A transport authority combines journey-speed data from two regions. Region A has 4040 observations with mean 7272 km h−1^{-1} and population standard deviation 66 km h−1^{-1}. Region B has 6060 observations with mean 7878 km h−1^{-1} and population standard deviation 88 km h−1^{-1}.

A
I.

the mean speed of the combined data set.

[2]
II.

the population standard deviation of the combined data set.

[3]
B

All Region B speeds are recalibrated by subtracting 66 km h−1^{-1}. the population standard deviation after the recalibrated data are combined with Region A.

[2]
C

why the recalibrated combined standard deviation is smaller.

[1]
Question 44
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

The water used by 4040 apartments in one day is grouped into the intervals 0≤w<100\leq w<10, 10≤w<2010\leq w<20, 20≤w<3020\leq w<30 and 30≤w<4030\leq w<40, measured in cubic metres. The respective frequencies are 88, 1414, 1212 and 66. No exact individual values are available.

Class interval for water use ww [m³]

Frequency

0≤w<100\leq w<10

8

10≤w<2010\leq w<20

14

20≤w<3020\leq w<30

12

30≤w<4030\leq w<40

6

A
I.

the mean daily water use.

[2]
II.

the modal class.

[1]
B

the actual mean must be at least 1414 cubic metres and less than 2424 cubic metres.

[3]
C

the greatest possible absolute error in the midpoint and when it is attained, and why an error of 55 cubic metres on the upper side cannot be attained.

[2]

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Question 45
HL • Paper 3
Hard
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HL • Paper 3
Hard
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A population data set contains 1010 observations with mean 2020 and population variance 3636. Eight of the observations have sum 156156 and sum of squares 31383138. The remaining observations are uu and vv, where u<vu<v.

A
I.

u+v=44u+v=44 and u2+v2=1222u^2+v^2=1222.

[2]
II.

uu and vv exactly.

[3]
B

A transformed data set is defined by y=3−2xy=3-2x. its mean and population variance.

[2]
C

why interchanging the labels uu and vv would not change any descriptive statistic of the data set.

[1]
Question 46
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

A conservation organization has 290290 registered volunteers in three regions: 137137 coastal, 8989 forest and 6464 mountain volunteers. It requires a proportional stratified sample of 3737 volunteers for a survey.

Region

Registered volunteers / volunteers

Unrounded proportional allocation / volunteers (student calculates)

Initial allocation / volunteers (student calculates)

Final allocation / volunteers (student calculates)

Coastal

137

Forest

89

Mountain

64

Total

290

A
I.

the unrounded proportional allocation for each region.

[2]
II.

integer allocations that total 3737, using the largest-remainder method.

[3]
B

Within each region, the organization accepts the first volunteers who reply to an email until the allocation is filled. why this is not a stratified random sample.

[2]
C

one modification that would retain the regional allocation while reducing selection bias.

[1]
Question 47
HL • Paper 3
Hard
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HL • Paper 3
Hard
Calculator Permitted

A company has 9090 production employees, each with an annual salary of 5000050000 monetary units, and 1010 executives, each with an annual salary of 500000500000 monetary units. A public report states only that the company's mean salary is high and uses this to the pay of a typical employee.

A
I.

the mean and median salaries.

[2]
II.

the population standard deviation of the salaries.

[2]
B

Using the quartile convention that separates the lower and upper halves of the ordered data, the quartiles and classify the executive salaries using the outlier rule.

[2]
C

Evaluate whether the report's use of the mean is an appropriate description of a typical employee's salary and whether the executive salaries should be deleted as outliers.

[2]
Question 48
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

Two sensors measure the same type of industrial pressure. Sensor A provides 4040 readings with mean 102102 kPa and population standard deviation 44 kPa. Sensor B provides 6060 readings with mean 9898 kPa and population standard deviation 55 kPa. A calibration investigation shows that 44 kPa must be added to every reading from sensor B.

A

For the corrected readings from sensor B, the following:

I.

mean;

[1]
II.

population standard deviation.

[1]
B

The corrected readings from both sensors are combined. the combined mean and population standard deviation.

[5]
C

Before calibration, the combined mean was 99.699.6 kPa. the population standard deviation of all 100100 uncorrected readings.

[2]
D

why correcting sensor B reduces the combined standard deviation even though neither sensor's individual standard deviation changes.

[1]

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Bivariate Statistics

Distributions