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The Normal Distribution - Worksheets, Questions and Revision

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H06 The Normal Distribution

EDEXCEL 1ST0 · Calculator allowed · about 80 minutes
Total Marks
Name: _______________________________    Date: ____ / ____ / ______
Answer ALL questions. Show all your working.
1
For each statement about the normal distribution, write down whether it is True or False.
(a)The normal distribution curve is symmetrical about the mean.(1)
(b)For a normal distribution, the mean, median and mode are all equal.(1)
(c)The tails of a normal distribution curve eventually meet the horizontal axis.(1)
(d)A normal distribution curve can have two separate peaks.(1)
(Total for Question 1 is 4 marks)
2
The diagrams show four sketched distribution curves, labelled A to D.

Write down the letter of the curve that shows a normal distribution.
A B C D
  • A
  • B
  • C
  • D
(Total for Question 2 is 1 mark)
3
A machine packs bags of sugar. The masses of the bags are normally distributed with a mean of 1000 g and a standard deviation of 15 g.

On the axes below, sketch a normal distribution curve to show the distribution of the masses. Label the mean, and the values 1 and 2 standard deviations above and below the mean, on the horizontal axis.
Mass (g) Frequency density
(Total for Question 3 is 4 marks)
4
For any normal distribution, complete each sentence below using one of the values 68%, 95% or 99.7%.
(a)Approximately ____ of the data values lie within 1 standard deviation of the mean.(1)
(b)Approximately ____ of the data values lie within 2 standard deviations of the mean.(1)
(c)Approximately ____ of the data values lie within 3 standard deviations of the mean.(1)
(Total for Question 4 is 3 marks)
5
The diagram shows a normal distribution curve. Dashed lines are drawn at the mean and at 1, 2 and 3 standard deviations above and below the mean, splitting the curve into 8 regions, labelled P to W.

Using the 68-95-99.7 rule, write down the approximate percentage of the distribution lying in each region described below.
-3sd -2sd -1sd mean +1sd +2sd +3sd P Q R S T U V W
(a)Regions S and T combined (within 1 standard deviation of the mean).(1)
(b)Region R (between 2 and 1 standard deviations below the mean).(1)
(c)Region Q (between 3 and 2 standard deviations below the mean).(1)
(d)Region P (more than 3 standard deviations below the mean).(1)
(Total for Question 5 is 4 marks)
6
The lengths of steel rods produced by a machine are normally distributed with a mean of 250 cm and a standard deviation of 3 cm.
(a)Work out the interval within which approximately 68% of the rods' lengths lie.(2)
(b)Work out the interval within which approximately 95% of the rods' lengths lie.(2)
(Total for Question 6 is 4 marks)
7
The resting heart rates of adults in a large population are normally distributed with a mean of 72 beats per minute (bpm) and a standard deviation of 6 bpm.
(a)Write down the percentage of adults with a resting heart rate between 60 bpm and 84 bpm.(2)
(b)Work out the percentage of adults with a resting heart rate above 90 bpm.(3)
(Total for Question 7 is 5 marks)
8
The marks scored by 240 candidates in a statistics exam are normally distributed with a mean of 65 and a standard deviation of 8.

Work out an estimate for the number of candidates who scored more than 81 marks.
(Total for Question 8 is 3 marks)
9
The annual salaries of 500 employees at a company are normally distributed with a mean of £32,000 and a standard deviation of £4,000. For each statement, write down whether it is True or False.
(a)Since about 95% of employees earn between £24,000 and £40,000, we can be certain that no employee earns less than £24,000.(1)
(b)About 68% of employees earn between £28,000 and £36,000.(1)
(c)It is impossible for an employee to earn more than £44,000.(1)
(Total for Question 9 is 3 marks)
10
In a national test, a pupil's raw score is converted into a standardised score (z-score), where z = 0 represents the mean and z = 1 represents 1 standard deviation above the mean, and so on. The raw test scores for all pupils are normally distributed with a mean of 100 and a standard deviation of 15. A particular pupil's result has a standardised score of z = 2.
(a)Work out the pupil's raw test score.(2)
(b)Using the empirical rule, estimate the percentage of pupils who scored higher than this pupil.(2)
(Total for Question 10 is 4 marks)
11
A machine fills bottles of sauce. The volumes are normally distributed with a mean of 500 ml and a standard deviation of 4 ml. A bottle is rejected by quality control if its volume is more than 2 standard deviations from the mean.
(a)Work out the tolerance limits between which a bottle's volume must lie to avoid rejection.(2)
(b)The factory fills 5000 bottles per day. Work out an estimate for the number of bottles rejected each day.(3)
(Total for Question 11 is 5 marks)
12
The heights of a large group of adult cyclists are normally distributed with a mean of 170 cm and a standard deviation of 6 cm. The diagram shows the distribution, with several height values marked on the horizontal axis.
152 158 164 170 176 182 188 Height (cm)
(a)State how many standard deviations the height 158 cm is from the mean, and in which direction.(1)
(b)State how many standard deviations the height 176 cm is from the mean, and in which direction.(1)
(c)State how many standard deviations the height 188 cm is from the mean, and in which direction.(1)
(d)Using the empirical rule, write down the percentage of cyclists with a height between 164 cm and 188 cm.(1)
(Total for Question 12 is 4 marks)
13
The diagrams show the distributions of the annual bonuses paid to staff at two companies, Company A and Company B.
mean = median median mean Curve A Curve B
(a)Which company's bonus distribution, A or B, could be modelled by a normal distribution? Give a reason for your answer.(2)
(b)For Company B's distribution, state whether the mean is greater than, less than, or equal to the median. Give a reason for your answer.(2)
(Total for Question 13 is 4 marks)
14
A factory produces bags of flour with a labelled mass of 1 kg (1000 g). Before setting tolerance limits, a quality inspector wants to check whether the masses of the bags are approximately normally distributed. This investigation follows the statistical enquiry cycle: plan, collect, process and interpret.
(a)PLAN: Describe a suitable method the inspector could use to select a sample of 50 bags from a day's production for weighing, and explain how this method helps to avoid bias.(2)
(b)COLLECT/PROCESS: The inspector weighs a small sample of 8 bags. Their masses, in grams, are shown in the table.
Bag12345678
Mass (g)9949981001100299910059971000

Work out the mean mass of this sample.
(2)
(c)PROCESS: Work out the median mass of the sample of 8 bags in part (b).(1)
(d)INTERPRET: A much larger sample confirms that the masses of all bags produced are normally distributed with a mean of 1000 g and a standard deviation of 8 g. The factory sets tolerance limits of 984 g to 1016 g, and rejects any bag outside these limits. Use the empirical rule to estimate the percentage of bags that would be rejected, and comment on whether the tolerance limits seem reasonable.(3)
(Total for Question 14 is 8 marks)
15
The times taken by runners to complete a marathon are normally distributed with a mean of 240 minutes and a standard deviation of 20 minutes.
(a)210 minutes is 1.5 standard deviations below the mean, and 270 minutes is 1.5 standard deviations above the mean. Since 1.5 standard deviations is halfway between 1 and 2 standard deviations, use linear interpolation between the known percentages for 1 standard deviation (68%) and 2 standard deviations (95%) to estimate the percentage of runners with a time between 210 and 270 minutes.(3)
(b)Out of 3000 entrants, estimate the number of runners whose time is outside the interval 210 to 270 minutes.(2)
(Total for Question 15 is 5 marks)
16
The wingspans of a large population of adult swans are normally distributed with a mean of 218 cm and a standard deviation of 6 cm. The diagram shows the distribution, with several wingspan values marked on the horizontal axis.
200 206 212 218 224 230 236 Wingspan (cm)
(a)Using the diagram, write down the interval of wingspans within which approximately 95% of the swans lie.(2)
(b)A swan has a wingspan of 227 cm. This corresponds to a standardised score of z = 1.5. Show that this value of z is correct. Then, using linear interpolation between the known percentages for 1 standard deviation (68%) and 2 standard deviations (95%), estimate the percentage of swans with a wingspan greater than 227 cm.(3)
(c)Give one reason why the normal distribution may not be a perfectly accurate model for the wingspans of swans.(1)
(Total for Question 16 is 6 marks)
Mark scheme · H06 The Normal Distribution

Question 1

Question 2

Question 3

Question 4

Question 5

Question 6

Question 7

Question 8

Question 9

Question 10

Question 11

Question 12

Question 13

Question 14

Question 15

Question 16

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