IB Maths AA SL 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 calculatorMedium6 marks

A courier company records the delivery times for 40 trips on each of two routes. Figure 1 shows box-and-whisker diagrams for the two sets of times. For this comparison, use the median to represent typical delivery time and the interquartile range (IQR) to represent consistency.

0510152025303540Route BRoute ADelivery time (minutes)
(a)

State the median delivery time for each route.

[2]
(b)

Calculate the IQR for each route.

[2]
(c)

Recommend a route if the company wants both a shorter typical delivery time and more consistent delivery times. Justify your recommendation using the medians and IQRs.

[2]

Question 2

Paper 1, no calculatorEasy6 marks

A student records the average daily sunlight exposure, xx hours, and the height after four weeks, yy cm, of five seedlings of the same species.

xx23456
yy1112171718

For these data, the Pearson correlation coefficient is r=0.93r=0.93 and the regression line of yy on xx is y=1.9x+7.4y=1.9x+7.4

(a)

State the strength and direction of the correlation. State whether this result alone shows that sunlight causes greater height.

[2]
(b)

Use the regression line to estimate the height of a seedling receiving 5 hours of sunlight per day.

[2]
(c)

Interpret the gradient of the regression line in this context.

[1]
(d)

The observed sunlight exposures range from 2 to 6 hours per day. Explain why using the regression line to estimate the height at 10 hours per day may be unreliable.

[1]

Question 3

Paper 1, no calculatorMedium8 marks

A machine produces metal pins whose lengths are modelled by a normal distribution with mean 4242 mm and standard deviation 33 mm.

For this question, use the facts that approximately 68%68\% 95%95\% and 99.7%99.7\% of values lie within one, two and three standard deviations of the mean, respectively.

(a)

Estimate the percentage of pins with lengths between 3939 mm and 4545 mm.

[1]
(b)

Hence, estimate the percentage of pins with lengths between 3939 mm and 4848 mm.

[3]
(c)

A batch contains 800800 pins. Hence, estimate the number of pins in the batch with lengths between 3939 mm and 4848 mm.

[2]
(d)

A pin has length 5151 mm. Estimate the percentage of pins with lengths greater than 5151 mm, giving your reasoning.

[2]

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