Tidy Tables Statistics In Your World 
Student Notes  
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Brief Description
 
Aims and Objectives
 
Prerequisites
 
Equipment and Planning
 
Section A - Laying Out Tables
 
Section B - Table Manners
 
Section C - Making sense of the Data
 
Answers
 
Test Questions
 
Test Questions - Answers
 
Connections with Other Units
 

Brief Description

This unit introduces pupils to statistical tables, explaining how to compose, read and clarify them. Data considered deal with domestic fires, leisure activities, road accidents and employment.

Design time: 4 hours

 

Aims and Objectives

The aim of this unit is to help pupils understand and read information which is laid out in tabular form, and learn how to simplify data to bring out significant patterns.

On completion of this unit pupils should be able to construct their own single variable frequency tables, two-way classification tables and to read individual figures from published tables. They will have practised drawing simple inferences from both types of table. They will also have practised making tables simpler to read, completing tables from bar charts, sorting out simple data and drawing bar charts. They should be mom aware of sources of data, correct practice in titling and annotating data and the conflict between readability and loss of information.

 

Prerequisites

Adding of up to six digits, rounding to the nearest ten, hundred or thousand and expressing one number as a fraction of another. Pupils should have had previous experience in drawing up simple bar charts.

 

Equipment and Planning

Calculators would be useful to aid addition, but they are not essential.

Data from the class, needed in A2 and A6, can be obtained by a show of hands. Since complex issues are raised, especially in Section C, some class discussion is desirable. The arrangement of the unit is that Section A deals with the construction of tables, Section 8 looks at annotations and titling and Section C deals with some methods of simplifying and interpreting tabulated data.

The following reference may be of value for Section C3: Data Reduction by A.S.C. Ehrenburg (Wiley, 1975), Chapter 1.

 

Detailed Notes

Copies of all tables are included in the R pages for easy reference. The journal Social Trends is a useful source for further data.

Many of the tables have been adapted (e.g. by changing percentages to frequencies) from the source to make them easier to work with.

Section A

A1
Table 1 is given in the text to provide a useful discussion point to start the unit. It is also reproduced as Table 8 on page R1 for ease of reference later. The questions remind pupils that not all tables are statistical, but all convey information.

A2
The unit deals only with discrete data, not with the compilation of class intervals. All data come initially in an unsorted form and have to be sorted before they are of much use.

If e is done, it will be necessary to collate the selections from the pupils. This can conveniently be done using the bhckboard. It is important to make sure that pupils do not use too many categories of sweets. One way of doing this is to nominate a few general categories from which they must choose. Remind them to include the total frequency in their table. An alternative survey would be favourite drinks.

A3
This takes the sorting one stage further, to bar charts, and indicates how some questions then become easier to answer.

A4
In this section we proceed the other way round. Data given in the form of a bar chart are written in tabular form. It is not practical to collect class data here as then it would be necessary to draw the table first. This secbon includes the first introduction to reading tables.

*A5
An optional exercise for reinforcement provides a check on the basic work before continuing to two-way tables.

A6
This again starts with given data so that pupils practise reading the table. Then they can collect their own data and draw up the table for them. This collection of class data needs organizing.

A suggestion for single-sex classes is instead of using Boys and Girls to use Oldest in the family and Not oldest in the family. Single children count as Oldest.

Pupils should notice that the sum of the row totals should equal the sum of the column totals. This is the number of pupils in the class.

A7
This returns to Table 1 (reproduced as Table 8 on page Rl) and is an exercise in reading a harder table. Questions f and g start to draw simple comparisons and lead towards inference, e.g. Where should the fire brigade concentrate its fire prevention advertising?

With pupils of lower ability, further reinforcement may be necessary at this stage. This can be done either by using collected data (e.g. a vehicle survey), or using further tables from sources such as Social Trends.

Section B

This section brings out the importance of four things: a clear title, the data, use of footnotes and quoting the source. B1-4 take each of these in turn, using Table 1 as the main example.

Bl
Titles often show the incompatible demands of accuracy of description and brevity for ease of reading. They should indicate clearly what the data are about.

B2
Since many data, particularly sociological and economic data, change rapidly, it is important to indicate the date to which they apply.

B3
The source should be given in sufficient detail to allow others to trace it and find out further details of meaning, background, method of collection, and so on.

B4
Footnotes are often used to help clear up problems of definition and nomenclature, explain changes in method of collection and give further details that cannot be included in a row or column heading.

B5
An exercise on leisure activities using Table 9 on page R2 to bring together the work of 81 to 84. (Note the distinction between United Kingdom and Great Britain; the former includes Northern Ireland.) Question g shows that tables should be consistent and can often be checked in this way.

B6
A rather harder exercise on accidents uses the two-way Table 10 on page R2. In the discussion on questions d and e comparisons can be made for Fatal and Serious or for Slight injuries. Comparisons may also be made in relative terms (using proportions) or in absolute terms (using differences). The age range 5-9 shows the greatest sex differences.

The difference between numbers of slight injuries to 15 and 16 year old boys and girls are too small to be significant. It appears that carefulness on the road by boys and girls at these ages is about the same. The large differences at the younger age, with young boys being far more prone to accident than young girls, may reflect different games played, attitudes to life, and so on.

It may be desirable with some groups to omit one or other of these last two sections.

Section C

This section is concerned with reading difficult tables and making them easier to read. Two techniques of simplifying the tables are introduced;

  1. Reduce the number of digits printed in the table. Although this means that accuracy is lost, it makes the individual items much easier to identify, and in many cases this accuracy may be sufficient to give a general impression.
  2. Put the columns in decreasing order of total, or average, from the left. It is then easier to pick out anomalies and simple relationships. A more able group could perhaps go on to convert actual figures to percentages, as is often done to make a table clearer.

Before attempting this section pupils must be able to round figures to the nearest ten, hundred or thousand.

C1
Table 9 on page R2 is rewritten as Table 11 with figures rounded to the nearest hundred. If pupils find this task difficult, it may be preferable to begin with a class discussion. The pupils' text does contain an instruction to ask for help if necessary. It also tells pupils to show the teacher their table for checking. This may be more easily done by a self-checking system. It should be obvious that the general picture is made clearer but accuracy has been lost.

C2
This is a parallel exercise to C1 and can be used as reinforcement. In both C1 and C2 rounding may result in the columns not adding to the rounded total.

C3
This is definitely a harder section. Class discussion on the value of changing the order of columns is probably useful, otherwise the way it shows up exceptions to the pattern may not be seen. A new table is introduced because it shows more clearly the advantages of the method than the other tables in the unit. Tables 8 and 9 can also be re-ordered in this way (numbers to the nearest hundred) and yield some interesting information. Table 10 shows no exceptions to the general pattern when rewritten in this way, and it is the exceptions that are interesting.

 

Answers
A1 a Bus or train timetable
  b Multiplication table or ready reckoner
  c Lesson timetable
     
A2 a 5
  b Guitar
  c Guitar 4; drums 1; accordion 1; tin whistle 2
  d 4/11
     
A3 a 6p
  b 12p
  c The bar chart is the most obvious way. However, in a distribution of this kind, the table is easy to read.
     
A4 a 4
  b Brown 9, blond 3, red 1, black 2
  d 10
  e 9
  f 9/10
     
A5 b 5 + 10 + 15 + 25 + 30 + 20 + 15 + 10 = 130
  c 4
  d 15, 30
     
A6 a 8
  b 4
  c 14
  d 10
  e 28
  f 8/18 or 4/9
  g 6/10 or 3/5
  h Girls - a larger proportion owned bicycles
     
A7 a 50900
  b 7848
  c 3300
  d 1547
  e 255
  f kitchen
  g Cooking
     
B a Table 1 conforms to the rules.
  b Table 2 does not have a title, date or source. Table 3 does not have a title, date or source.
     
B1 a Domestic fires in the United Kingdom, by cause and room of origin.
  c United Kingdom (England, Wales, Scotland, Northern Ireland)
  d In homes
     
B2 a 1976
  b 1 year, 1st January to 31st December, 1976
  c The data are meaningless without a date as the incidence of fires varies considerably from year to year.
     
B3 a Social Trends
  b See detailed notes.
     
B4 a Bed-sitting rooms have been counted as bedrooms.
  b Hall
  c 'Elsewhere or not known'
     
B5 a 'Frequency of selected leisure activities reported by 16 year olds, 1974'
  c 1974
  d Social Trends
  e 11070
  f England, Scotland, Wales (Great Britain)
  g Because 11 070 pupils replied to each category of activities
     
B6 a 0-16 years
  b Between 1st Jan. 1975 and 31st Dec. 1975
  c Age 15 - slight; age 16 - slight
  d Age 5 to 9. See detailed notes.
  e See detailed notes.
     
C1 a Table 11 becomes: (numbers in hundreds)
  Often Sometimes Never or hardly ever Like to, but no chance
Reading 30 51 27 3
Outdoor games 42 39 27 3
Swimming 23 49 30 9
Indoor games 28 36 36 11
TV 72 32 6 1
Parties 21 53 29 8
Dances 44 34 27 6
Voluntary work 8 33 52 18
  c The numbers are easier to find and simpler to read.
  d There is a loss of accuracy. Answer may be given as, e.g. 30 instead of 30 hundred.
  e 49 hundred
  f 52 hundred
  g 28 hundred
     
C2 a Table 10 becomes: (numbers in hundreds)
    Age
0-4 5-9 10-14 15 16
Males Fatal and Serious 10 27 15 2 2
Slight 24 68 41 4 5
Females Fatal and Serious 6 13 11 1 2
Slight 15 39 34 5 5
     
C3 a Table 13 becomes: (numbers in thousands)
  SE GL EA SW WM EM Y+H NW N W SC NI
Males  
0-2 12 12 3 6 7 5 7 10 6 4 10 -
2-4 10 10 2 5 6 4 6 9 5 4 9 -
4-8 14 13 3 8 8 6 8 13 6 5 15 -
8+ 94 92 21 64 72 43 65 117 61 47 94 -
Total 130 127 29 83 92 57 85 149 77 59 127 39
Females  
0-2 5 4 1 2 3 2 3 4 2 2 5 -
2-4 4 3 1 2 3 1 2 4 2 2 4 -
4-8 6 5 1 3 4 2 3 6 3 3 7 -
8+ 28 23 6 20 25 13 20 37 21 16 37 -
Total 43 35 8 28 34 19 28 50 29 22 53 17
  b Table 14 becomes: (numbers in thousands)
  NW SC SE GL WM Y+H SW N W EM NI EA
Male  
0-2 10 10 12 12 7 7 6 6 4 5 - 3
2-4 9 9 10 10 6 6 5 5 4 4 - 2
4-8 13 15 14 13 8 8 8 6 5 6 - 3
8+ 117 94 94 92 72 65 64 64 47 43 - 21
Total 149 127 130 127 92 85 83 77 59 57 39 29
Female  
0-2 4 5 5 4 3 3 2 2 2 2 - 1
2-4 4 4 4 3 3 2 2 2 2 1 - 1
4-8 6 7 6 5 4 3 3 3 3 2 - 1
8+ 37 37 28 23 25 20 20 21 16 13 - 6
Total 50 53 43 35 34 28 28 29 22 19 17 8

 

Test Questions

  1. Name a kind of TABLE which has numbers in it. Give an example of DATA you could find in a table.
  2. On July 4, 1977, 25 pupils from Class lu in the Mandonham Comprehensive School took a swimming test. The numbers of widths swum without touching down were:
    5, 4, 1, 0, 5, 6, 4, 7, 3, 4, 3, 2, 5, 5, 4, I, 0, 3, 4, 6, 8, 4, 3, 5, 9
    1. Show the data in a frequency table.
    2. One of the pieces of information below can only be read from the data list above. Which is it? (All the others are easier to read from the table.)
      1. The number of pupils who swam five widths
      2. The number of widths swum by the sixth pupil
      3. The number of widths with the highest frequency
      4. The highest frequency
  3. In question 2, the first 10 figures were the girls' results. Complete this two-way table:
      Number of widths
    Less than 4 4 or more
    Girls    
    Boys    
    Total    

     

  4. Every statistical table should have a TITLE
    Write down a title for the table in Question 3.
    Name two other things a statistical table should have.
    Write down one of these for the table in Question 3.
  5.  
    1. The table below mentions 2486 casualties altogether. Over what period of time did these happen?
    2. How many more people were slightly injured than seriously injured?
    3. On which classes of road were the largest number of people killed?
    4. On which class of road was the smallest number killed?
    5. On motorways there were fewer slight injuries than there were serious injuries. For which other type of road is this true? Give a possible reason.
      Class of road Fatal (killed) Serious injuries Slight injuries Total (all casualties)
      Motorway 4 88 78 170
      Trunk roads 25 290 321 636
      A roads 25 311 296 632
      B roads 1 85 86 172
      C roads 12 242 252 506
      Unclassified roads 6 173 191 370
      Total (all roads) 73 1189 1224 2486

      Casualties in road accidents. Northamptonshire, 1974
      (Source: Northamptonshire Transport Policies and Progremme, 1976-1977)

  6.  
    1. Re-write the table from Question 5, adding together fatal and serious injuries and writing the answer in one column.
    2. Simplify the table in one other way. (Hint: either think about the numbers or the order of the columns.) Give one advantage and one disadvantage of your table.

 

Answers
1   Any suitable examples of tables and data are acceptable.
     
2 a
Number of widths Pupils
0 2
1 2
2 1
3 4
4 6
5 5
6 2
7 1
8 1
9 1
  25
  b ii
     
3  
  Under 4 4 and over Total
Girls 3 7 10
Boys 6 9 15
Totals 9 16 25
     
4   Any appropriate title A statistical table should also have:
A date and a source (for secondary data)
For the table in Question 3 the date is July 4, 1977.
     
5 a One year - January 1 to December 31 1974
  b 35 (1224-1189)
  c Trunk roads and A roads
  d B roads
  e Because traffic is faster moving so any injury is more likely to be severe.
     
6 a
Class of road Fatal and serious Slight All accidents
M 92 78 170
T 315 321 636
A 336 296 632
B 86 86 172
C 254 252 506
U 179 191 370
All roads 1262 1224 2486
  b Either alter the row order to T A C U B M or round numbers to nearest hundred (or nearest ten).
Advantage: Table is easier to read (or equivalent)
Disadvantage: Loss of information, or deaths too few to show, or loss of distinction between numbers of serious and slight
     

 

Connections with Other Published Units from the Project

Other Units at the Same Level (Level 1)

Shaking a Six
Being Fair to Ernie
Probability Games
Practice makes Perfect
Leisure for Pleasure.
Wheels and Meals
If at first...

Units at Other Levels In the Same or Allied Areas of the Curriculum

Level 3

Car Careers

Level 4

Figuring the Future
Sampling the Census
Smoking and Health
Equal Pay

This unit is particularly relevant to: Mathematics, Social Sciences

Interconnections between Concepts and Techniques Ueed In these Units

These are detailed in the following table. The code number in the left- hand column refers to the items spelled out in more detail in Chapter 5 of Teaching Statistics 11-16.

An item mentioned under Statistical Prerequisites needs to be covered before this unit is taught. Units which introduce this idea or technique are listed alongside.

An item mentioned under Idea or Technique Used is not specifically introduced or necessarily pointed out as such in the unit. There may be one or more specific examples of a more general concept. No previous experience is necessary with these items before teaching the unit, but more practice can be obtained before or afterwards by using the other units listed in the two columns alongside.

An item mentioned under Idea or Technique Introduced occurs specifically in the unit and, if a technique, there will be specific detailed instruction for carrying it out. Further practice and reinforcement can be carried out by using the other units listed alongside.

Code No. Statistical Prerequisites Introduced in
2.2a Bar charts for discrete data Shaking a Six
Leisure for Pleasure
  Idea or Technique Used Introduced in Also Used in
1.2a Using discrete data   Shaking a Six
Wheels and Meals
If at first ...
Car Careers
Sampling the Census
Being Fair to Ernie
Probability Games
Leisure for Pleasure
Figuring the Future
Equal Pay
1.2c Problems of data classification Opinion Matters
Car Careers
Leisure for Pleasure
Equal Pay
Sampling the Census
1.2e Using discrete bivariate data   Wheels and Meals
Sampling the Census
Practice makes Perfect
Smoking and Health
  Idea or Technique Introduced Also Used in
1.4b Using someone else's counted or measured data Shaking a Six
Figuring the Future
Equal Pay
Leisure for Pleasure
Sampling the Census
Car Careers
Smoking and Health
1.4e Finding appropriate data Car Careers
Equal Pay
Sampling the Census
Smoking and Health
2.1a Constructing single variable frequency tables Being Fair to Ernie
Practice makes Perfect
Car Careers
Wheels and Meals
If at first ...
Figuring the Future
Probability Games
Leisure for Pleasure
Sampling the Census
2.2b Constructing two-way classification tables Wheels and Meals
2.2e Making tables simpler to read  
5a Reading tables Shaking a Six
Probability Games
Car Careers
Being Fair to Ernie
If at first ...Figuring the Future
Wheels and Meals
Leisure for Pleasure
Equal Pay
5b Reading bar charts, histograms, pie charts Being Fair to Ernie
Car Careers
Wheels and Meals
Smoking and Health
Leisure for Pleasure
5h Reading bivariate data Wheels and Meals
Smoking and Health
Practice makes Perfect
Sampling the Census
5v Inference from tables Shaking a Six
Leisure for Pleasure
Sampling the Census
Wheels and Meals
Car Careers
Smoking and Health
Practice makes Perfect
Figuring the Future
Equal Pay

 

Page R1
Type of sweet Frequency
   
   
   

Total

 

Table 5 - Favourite sweets in out class

 

Colour Frequency
Brown  
   
   

Total

 

Table 6 - Colour of hair of 10 pupils

 

Number of peas Frequency
0  
1  
2  
3  
4  
5  
6  
7  

Total

 

Table 7 - Number of peas in a pod

 

Cause   Total4 number
Kitchen Bedroom1 Living room Hall2 Roof space Elsewhere3 or not known
Cooking 17226 174 - - - - 17000
Space heating 504 1400 2352 168 - 1176 6000
Smoking materials 342 1482 1216 76 - 684 4000
Children 132 990 330 165 33 1650 3000
Wiring installations 403 403 310 527 155 1302 3000
Chimneys 153 272 289 17 255 714 2000
TV and radio 17 51 1547 - - 85 2000
Other 2840 3124 1704 710 426 5396 14000
Total all causes 21617 7896 7748 1663 869 11007 51000

1 Includes bed-sitting rooms
2 Includes stairs and corridors
3 Includes fires which started outside and spread to the building
4 Totals have been rounded to the nearest thousand
Table 8 - Domestic fires in the United Kingdom: by cause and room of origin, 1976
(Source: Social Trends, No. 8, 1977, page 197)

 

Page R2
Activity Often Sometimes Never or hardly ever Like to, but no chance
Reading books (apart from school work/homework) 2989 5092 2657 332
Playing outdoor games/sports 4207 3874 2657 332
Swimming 2325 4871 2989 885
Playing indoor games/sports 2806 3572 3572 1120
Watching TV 7195 3210 554 111
Going to parties 2103 5314 2878 775
Dancing at discos, etc. 4427 3432 2657 554
Voluntary work to help others 775 3321 5203 1771

Total sample size = 11070 persons
Figures are for Great Britain
Table 9 - Frequency of selected leisure activities reported by 16 year olds, 1974
(Source: Social Trends, No. 8, 1977, page 184)

 

  Age (years)
0-4 5-9 10-14 15 16
Males Fatal and Serious 999 2688 1485 187 173
Slight 2420 6799 4128 433 457
  Fatal and Serious 584 1289 1136 139 164
Slight 1506 3947 3441 481 458

Table 10 - Pedestrian casualties, 1975: severity. sex and age
(Source: RoadAccidents, Great Britain, 1975 (HMSO). From Tables 26 and 27.)

 

Activity Often Sometimes Never or hardly ever Like to, but no chance
Reading books 30 51    
Playing outdoor games/sports 42      
Swimming 23     9
Playing indoor games/sports 28      
Watching TV 72      
Going to parties 21      
Dancing at discos, etc. 44   27  
Voluntary work 8      

Table 11 - Frequency of selected leisure activities reportedby 16 year olds, 1974 (Hundreds)

 

Page R3
  South-east except GLC Greater London East Anglia South West West Midlands East Midlands Yorkshire and Humberside North West North Wales Scotland Northern Ireland
Length of time on register                        
Males                        
up to 2 weeks 12124 11845 2814 5799 6700 4498 6946 9657 5567 3858 9547 -
over 2 and up to 4 weeks 9786 10018 2320 5242 5877 3671 5768 9024 4744 3757 8644 -
over 4 and up to 8 weeks 14226 13465 3185 7875 7746 5541 7778 13318 6236 5210 14840 -
over 8 weeks 93938 91989 20785 64299 71836 43116 64997 116676 60657 46581 93518 -
Total 130074 127317 29104 83215 92159 56826 85489 148675 77204 59406 126549 39521
Females                        
up to 2 weeks 5091 4182 817 2305 2670 1593 2561 4080 2203 1709 4468 -
over 2 and up to 4 weeks 4207 3460 763 2200 2582 1417 2200 3903 1912 1730 4328 -
over 4 and up to 8 weeks 5797 4559 1068 3319 3801 2395 3415 5726 3117 2578 7494 -
over 8 weeks 27908 23123 5600 20153 24761 13415 19857 36641 21431 15868 36733 -
Total 43003 35324 8248 27977 33814 18820 28033 50350 28663 21885 53023 17139

Table 12 - Regional analysis of unemployment: February 10, 1977
(Figures for Northern Ireland showing the length of time on the register are available only quarterly in respect of March, June, September and December.
(Source: Departement of Employment Gazette, March 1977, page 278)

 

Length of time on register Region
SE GL EA SW WM EM Y+H NW N W SC NI
Males  
Up to 2 weeks 12 12 3 6 7 5 7 10 6 4 10 -
Over 2 and up to 4 weeks 10       6           9 -
Over 4 and up to 8 weeks 14       8           15 -
Over 8 weeks 94       72           94 -
Total 130 127 29 83 92 57 85 149 77 59 127 39
Females  
Up to 2 weeks 5       3           5 -
Over 2 and up to 4 weeks 4       3           4 -
Over 4 and up to 8 weeks 6       4           7  
Over 8 weeks 28       25           37 -
Total 43 35 8 28 34 19 28 50 29 22 53 17

Table 13 - Regional Analysis of Unemployment: February 10, 1977 (Numbers in thousands)
(Source: Department of Employment Gazette, March 1977, page 278)

 

Length of time on register Region
NW SC SE GL WM Y+H SW N W EM NI EA
Males  
Up to 2 weeks 10 10 12 12 7 7 6 6 4 5 - 3
Over 2 and up to 4 weeks 9 9 10                  
Over 4 and up to 8 weeks 13 15 14                  
Over 8 weeks 117 94 94                  
Total 149 127 130 127 92 85 83 77 59 57 39 29
Females  
Up to 2 weeks 4 5 5                  
Over 2 and up to 4 weeks 4 4 4                  
Over 4 and up to 8 weeks 6 7 6                  
Over 8 weeks 37 37 28                  
Total 50 53 43 35 34 28 28 29 22 19 17 8

Table 14 As Table 13 but with the columns reordered (Numbers in thousands)
(Source: Department ofEmployment Gazette, March 1977, page 278)

 

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