- Subjects
- Maths AI
- Question bank
- 4.16 Confidence intervals
4.16 Confidence intervals questions for IB Maths AI
28 questions on Confidence intervals, written by Augment in the style of IB exam papers. Six of them are below in full, to answer on paper.
- IB Mathematics: Applications and Interpretation
- Part of 4 Statistics and probability
- HL only
Questions by paper and level
| Paper | Questions |
|---|---|
| Paper 1 | 13 |
| Paper 2 | 14 |
| Paper 3 | 1 |
| Every paper | 28 |
Counted on
Questions to try
Written by Augment in the style of IB exams, not past papers. Answer them on paper, then check each one against its markscheme with a free account.
A machine at Moulin Doré fills bags of flour. The mass of flour in a bag is normally distributed with standard deviation 8 g. The mean is set to 1000 g but may drift over time.
A random sample of 25 bags has a mean mass of 1003.4 g.
- (a)
State why a confidence interval based on the normal distribution, rather than the -distribution, is appropriate here.
1 mark
- (b)
Find a 95% confidence interval for the mean mass of flour in a bag. Give the endpoints correct to one decimal place.
2 marks
- (c)
The manager believes that the machine is still set correctly. Use your answer to part (b) to comment on her belief.
2 marks
Boxes of Sunrise Oats are labelled "Net mass 500 g". A consumer group weighs the contents of a random sample of 12 boxes. The masses, in grams, are shown below.
The masses of the contents of the boxes are normally distributed.
- (a)
Find unbiased estimates of the mean and the standard deviation of the mass of the contents of a box.
2 marks
- (b)
Find a 95% confidence interval for the mean mass of the contents of a box. Give the endpoints correct to four significant figures.
2 marks
- (c)
Use your interval to comment on the label.
2 marks
- (d)
The consumer group decides to carry out a hypothesis test, at the 1% significance level, to determine whether the mean mass of the contents is less than 500 g.
(i) Write down the null and alternative hypotheses.
(ii) Find the -value for this test.
(iii) State the conclusion of the test. Give a reason for your answer.6 marks
- (e)
State one assumption, other than normality, needed for your answers to parts (b) and (d) to be valid.
1 mark
The purpose of this question is to plan and analyse a survey of the lengths of trout in two lakes.
Aroha is a fisheries scientist. She is planning a survey of rainbow trout in Lake Moana. Previous surveys show that the lengths of trout in the lake have a standard deviation of 6.2 cm, and that the distribution of lengths is positively skewed. You may assume that this standard deviation has not changed.
The lake has three regions. Of the trout in the lake, 45 % live in the northern region, 30 % in the central region and 25 % in the southern region.
- (a)
Aroha will measure a stratified sample of 60 trout, stratified by region.
Find the number of trout she should measure from each region.
2 marks
- (b)
Let be the mean length, in cm, of a random sample of 60 trout from the lake, and let be the mean length of all the trout in the lake.
Explain why can be modelled by a normal distribution, and state this distribution in terms of .
2 marks
- (c)
Find the probability that is within 1.5 cm of .
2 marks
- (d)
Find the smallest sample size for which the probability that the sample mean is within 1.5 cm of is at least 0.98.
3 marks
- (e)
Aroha measures a random sample of 60 trout. Their mean length is 34.6 cm.
Find a 95 % confidence interval for .
2 marks
- (f)
Ten years earlier, the mean length of trout in Lake Moana was 32.5 cm.
Comment on whether Aroha's interval suggests that the mean length has changed.
2 marks
- (g)(i)
Aroha also studies trout in Lake Kōwhai, where the standard deviation of lengths is unknown and the lengths are normally distributed. She measures the lengths, in cm, of a random sample of 10 trout.
Trout
1
2
3
4
5
6
7
8
9
10
Length (cm)
31.2
35.8
28.4
33.1
30.6
36.9
29.7
34.3
32.5
27.9
Find unbiased estimates of the mean and the variance of the lengths of trout in Lake Kōwhai.
2 marks
- (g)(ii)
Find a 90 % confidence interval for the mean length of trout in Lake Kōwhai.
2 marks
- (g)(iii)
Explain why a -distribution, and not a normal distribution, is used for this interval.
1 mark
- (h)
Trout in Lake Kōwhai can only be fished commercially if their mean length is greater than 30 cm.
Use Aroha's sample to test, at the 5 % significance level, whether the mean length of trout in Lake Kōwhai is greater than 30 cm.
5 marks
- (i)(i)
The price, euros (EUR), paid for a trout from Lake Moana of length cm is given by . Assume that has mean 34.6 cm and standard deviation 6.2 cm.
Find the mean and the standard deviation of .
2 marks
- (i)(ii)
A box contains 25 trout from Lake Moana, whose lengths are independent.
Find the mean and the standard deviation of the total price paid for the box.
2 marks
Priya grows tomato seedlings in a greenhouse. After three weeks she measures the heights, in cm, of a random sample of 9 seedlings.
The heights of the seedlings are normally distributed.
- (a)
Find unbiased estimates of the mean and the variance of the heights of the seedlings.
2 marks
- (b)
Find a 90% confidence interval for the mean height of the seedlings.
2 marks
- (c)
Explain why Priya should use the -distribution to find this interval.
1 mark
Fratelli Pizza advertises that its deliveries take 30 minutes on average. From several years of records, the standard deviation of delivery times is known to be 7 minutes. The distribution of delivery times is not known.
Valentina records the delivery times of a random sample of 36 orders. Their mean is 31.8 minutes.
- (a)
Explain why a confidence interval based on the normal distribution can be used even though the distribution of delivery times is not known.
1 mark
- (b)
Find
(i) a 95% confidence interval;
(ii) a 99% confidence interval
for the mean delivery time.4 marks
- (c)
Explain why the interval in part (b)(ii) is wider than the interval in part (b)(i).
1 mark
- (d)
Valentina says that Fratelli Pizza's advertisement is false. Comment on her statement.
2 marks
- (e)
Assume that the mean delivery time is 30 minutes. Find the probability that the mean of a random sample of 36 delivery times is at least 31.8 minutes.
3 marks
- (f)
Fratelli Pizza wants to estimate its mean delivery time with a 95% confidence interval of width at most 3 minutes. Find the least number of deliveries it must sample.
3 marks
A manufacturer of electric scooters claims that, on a full charge, its battery lasts for 45 hours of riding on average. A consumer magazine tests a random sample of 12 batteries. The battery lives are assumed to be normally distributed.
The sample mean is 41.6 hours and the standard deviation of the sample, , is 2.9 hours.
- (a)
Find , the unbiased estimate of the population standard deviation.
2 marks
- (b)
Find a 99% confidence interval for the mean battery life. Give the endpoints correct to four significant figures.
2 marks
- (c)
Comment on the manufacturer's claim.
2 marks
Practice all 28 in Augment
Free with an account. Every question has its markscheme, and Augment keeps the ones you got wrong so you can come back to them.
More questions in Statistics and probability
- 4.1Collecting data and sampling
- 4.2Presenting data
- 4.3Measures of central tendency and dispersion
- 4.4Correlation and regression
- 4.5Concepts of probability
- 4.6Combined events
- 4.7Discrete random variables
- 4.8The binomial distribution
- 4.9The normal distribution
- 4.10Spearman’s rank correlation
- 4.11Hypothesis testing
- 4.12Data collection and reliability
- 4.13Non-linear regression
- 4.14Linear transformations of random variables
- 4.15The central limit theorem
- 4.16Confidence intervalsThis page
- 4.17The Poisson distribution
- 4.18Further hypothesis testing
- 4.19Transition matrices and Markov chains
More on Confidence intervals
Check your answers in Augment
A free account opens all 28 questions on Confidence intervals with their markschemes, and keeps a record of what you have marked.