IB Maths AA HL Topic 4: Statistics and probability questions

Exam-style questions in the shape of Paper 1 and Paper 2, with full markschemes. Read the markscheme, or type, photograph or draw your answer and get it marked.

Question 1

Paper 1, no calculatorEasy6 marks

The table shows the five-number summaries for daily journey times at two depots.

DepotMinimum (min)Lower quartile (min)Median (min)Upper quartile (min)Maximum (min)
A1218243036
B1016222940
(a)

Write down the median journey time for depot A.

[1]
(b)

Calculate the interquartile range for each depot.

[2]
(c)

State which depot has less variation among the middle 50% of journey times.

[1]
(d)

State which depot’s distribution appears more nearly symmetric, giving a feature of its five-number summary to support your answer.

[2]

Question 2

Paper 1, no calculatorMedium6 marks

The histogram in Figure 1 shows the response times, xx seconds, for 32 service calls. The standard deviation of these response times is 6.46.4 seconds.

010203040506002468101214Response time, x (s)Frequency
(a)

State the modal class and estimate the mean response time.

[3]
(b)

For each response time xx a service index yy measured in index units, is defined by

y=2(x−3).y=2(x-3).

Hence, using your estimate from part (a), determine the estimated mean and the standard deviation of yy

[3]

Question 3

Paper 1, no calculatorMedium6 marks

A grower records the irrigation time, yy hours, and the harvested mass, xx kg, for five greenhouse beds.

yy12345
xx23356
(a)

Determine, giving your working, the equation of the regression line of xx on yy in the form x=a+byx=a+by

[3]
(b)

Hence estimate the harvested mass when the irrigation time is 4 hours.

[1]
(c)

The grower wants to estimate the irrigation time from a harvested mass of 4.84.8 kg. A trainee rearranges the equation from part (a) and obtains an estimate of 4 hours. Explain whether this is a justified use of a regression line.

[2]

Question 4

Paper 1, no calculatorEasy5 marks

A clinic records whether each of 100 patients has a particular exposure, EE and whether they have a condition, DD Figure 1 shows the results.

50454035302520151050Number of patientsCondition (D)No condition (D′)Exposed (E)Not exposed (E′)Exposure status
(a)

Write down the formula for P(D∣E)P(D\mid E) assuming P(E)>0P(E)>0

[1]
(b)

Use Figure 1 for both parts.

(i)

Calculate P(D∣E)P(D\mid E)

[2]
(ii)

Determine whether DD and EE are independent. Give a reason.

[2]

Question 5

Paper 1, no calculatorMedium7 marks

A probability tree models the results of a medical study of a risk factor RR and a disease DD A person is selected at random from the population. The probabilities on the second set of branches are conditional on the outcome at the first set of branches.

Selected personRnot RDnot DDnot D154518781403940
(a)

Find the probability that a randomly selected person has both RR and DD

[1]
(b)

Hence determine the probability that a randomly selected person has DD

[2]
(c)

Hence determine the probability that a person has RR given that they have DD Give your answer exactly, and state whether more than half of the people with DD have RR

[4]

Question 6

Paper 1, no calculatorHard6 marks

A health service records whether each of 300 participants has a risk factor FF and whether each is diagnosed with a disease DD Figure 1 shows the results.

020406080100120140160180200220240260Number of participants21624519F presentF absentRisk factor statusDiagnosed with DNot diagnosedwith D

A report notes that more participants diagnosed with DD had FF than did not have FF and concludes that diagnosis is more likely among participants with FF

(a)

State the definition of P(A∣B)P(A\mid B) in terms of P(A∩B)P(A\cap B) and P(B)P(B)

[1]
(b)

Use Figure 1 to calculate P(F∣D)P(F\mid D)

[1]
(c)

In light of your answer to (b), test whether FF and DD are independent and assess the report’s conclusion.

[4]

Question 7

Paper 1, no calculatorMedium6 marks

The graph in Figure 1 shows the probability density function, ff of a continuous random variable XX

1200.51xf(x)
(a)

Write down f(x)f(x) as a piecewise function.

[2]
(b)

Determine E(X)E(X)

[2]
(c)

Hence determine Var⁡(X)\operatorname{Var}(X)

[2]

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