**TOPIC 10: SETS**

**Sets**

Forget

everything you know about number and forget that you even know what a

number is. This is where mathematics starts. Instead of mathematics with

numbers we will think about mathematics with things.

everything you know about number and forget that you even know what a

number is. This is where mathematics starts. Instead of mathematics with

numbers we will think about mathematics with things.

The

word set means collection of related things or objects. Or, things

grouped together with a certain property in common. For example, the

items you wear: shoes, socks, hat, shirt, pants and so on. This is

called a set. A set notation is simple, we just list each element or

member (element and member are the same thing), separated by comma, and

then put some curly brackets around the whole thing. See an example

below:

word set means collection of related things or objects. Or, things

grouped together with a certain property in common. For example, the

items you wear: shoes, socks, hat, shirt, pants and so on. This is

called a set. A set notation is simple, we just list each element or

member (element and member are the same thing), separated by comma, and

then put some curly brackets around the whole thing. See an example

below:

The Curly brackets are sometimes called “set brackets” or “Braces”.

Sets are named by capital letters. For example; A = {1, 2, 3, 4 …} and

**not**a = {1, 2, 3, 4, …}.
To show that a certain item belongs to a certain set we use the symbol

**∈**.
For example if set A = {1, 2, 3, 4} and we want to show that 1 belongs to set A (is an element of set A) we write 1∈A.

To

show the total number of elements that are in a given set, say set A,

we use the symbol n(A). Using our example A = {1, 2, 3, 4}, then, the

total number of elements of set A is 4. Symbolically , we write n(A) = 4

show the total number of elements that are in a given set, say set A,

we use the symbol n(A). Using our example A = {1, 2, 3, 4}, then, the

total number of elements of set A is 4. Symbolically , we write n(A) = 4

Description of a Set

A Set

Define a set

We

describe sets either by using words, by listing or by Formula. For

example if set A is a set of even numbers, we can describe it as

follows:

describe sets either by using words, by listing or by Formula. For

example if set A is a set of even numbers, we can describe it as

follows:

- By using words: A = {even numbers}
- By listing: A = {2, 4, 6, 8, 10,…}
- By Formula: A = {x: x = 2n, where n = 1,2,3,…} and is read as A is a set of all x such that x is an even number.

Example 1

Describe the following set by listing: N is a set of Natural numbers between 0 and 11

Solution

N = {1,2,3,4,5,6,7,8,9,10}

Example 2

Write the following named set using the formula: O is a set of Odd numbers:

Solution

O = {x: x = 2n – 1, whereby n = 1,2,3….}

Example 3

Write the following set in words: W = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}

Solution

W = {whole numbers} or W is a set of whole numbers.

The Members of a Set

List the members of a set

The objects in a set are called the members of the set or the elements of the set.

A set should satisfy the following:

- The members of the set should be distinct. (not be repeated)
- The members of the set should be well-defined. (well-explained)

Example 4

In question 1 to 3 list the elements of the named sets.

- A={x: x is an odd number <10}
- B={days of the week which begin with letter S}
- C={prime numbers less than 13}

Solution

1. A={1,3,5,7,9}

2. B={Saturday,Sunday}

3. C={2,3,5,7,11}

Naming a Set

Name a set

To describe a small set, we list its members between curly brackets {, }:

- {2, 4, 6, 8}
- { England, France, Iran, Singapore, New Zealand }
- { David Beckham } {}
- (the empty set, also written ∅)

We write a ∈ X to express that a is a member of the set X. For example 4 ∈ {2, 4, 6, 8}. a /∈ X means a is not a member of X.

Differentiate Sets by Listing and by Stating the Members

Distinguish sets by listing and by stating the members

By Stating the members: A = {even numbers}

By listing: A = {2, 4, 6, 8, 10,…}

**Types of Sets**

A Universal Set and an Empty Set

Define a universal set and an empty set

**Universal set**

This is a set that contains everything that we are interested in. The symbol for universal set is

U. for example, the set of Integers contains all the elements of sets

such as odd numbers, prime numbers, even numbers, counting numbers and

whole numbers. In this example the set of integers is the Universal set.

**μ**orU. for example, the set of Integers contains all the elements of sets

such as odd numbers, prime numbers, even numbers, counting numbers and

whole numbers. In this example the set of integers is the Universal set.

Another

example of a Universal set is a Set of all English Alphabets which

contains all elements of a set of vowels and set of Consonants.

example of a Universal set is a Set of all English Alphabets which

contains all elements of a set of vowels and set of Consonants.

**Empty set or Null set**: is a set with

**no elements**. There aren’t any elements in it. Not one. Zero elements. For example;

**A set of Countries South of the South Pole.**

It is represented by

**Ø**or**{}.**
The Difference Between Finite and Infinite Sets

Distinguish between finite and infinite sets

**Finite sets:**is a set which its

**elements can be counted**.

We can say how many members are there. For example; a set B is a set of

numbers between 1 and 7. When we list the elements, then set B =

{2,3,4,5,6}. So, there 5 elements. This set is called finite set.

**Infinite set**:

this is a set whereby we cannot count the number of elements of the

set. We cannot tell how many members are there in a set. For example; A

is a set of all real numbers. Real numbers are all positive and negative

numbers including fractions. We cannot count the members of a set of

real numbers. Another example; B = {1,2,3,…}. Three dots means go on or

infinite, we will go on with no end. This types of sets are called

infinite sets.

The Difference Between Equivalent and Equal Sets

Distinguish between equivalent and equal sets

**Equivalent sets**:

Two sets are said to be equivalent if their members match exactly. For

example; if A = {a, b, c, d} and B = {w, x, y, z} the two sets match

like this:

Generally, two sets are equivalent if n(A) = n(B). Symbolically we write A ≡B which means A is equivalent to B.

**Equal sets**:

If two sets are equivalent and their members are alike, then the two

sets are said to be equal. For example; if A = {a, b, c, d} and B = {c,

a, b, d} then the two sets are equal since a is in set A and in set B, b

is in set A and in set B, c is in set A and in set B and d is in set A

and in B. Also, numbers of elements of the both sets are equal.

Therefore A = B (set A is equal to set B)

**Subsets**

A Subset

Define a subset

When we define a set, if we take piece of that set, we can form what is called a

example; if we have a set {a, b, c, d, e}, a subset of this is {b, c,

d}. Another subset is {a, b} or even another subset is {e} or {d} and so

on. However {a, f} is not a subset since it contains an element (f)

which it is not in the parent set.

**subset.**Forexample; if we have a set {a, b, c, d, e}, a subset of this is {b, c,

d}. Another subset is {a, b} or even another subset is {e} or {d} and so

on. However {a, f} is not a subset since it contains an element (f)

which it is not in the parent set.

Generally,

**A is a subset of B if and only if every element of A is in B.**symbolically we write A⊂B (means A is a subset of B).
Subsets of a Given Set

List subsets of a given set

For

example; if A = {1, 2, 3, 4}, B = {1, 2, 3} and C = {1, 2, 3, 4} then, B

is a proper subset of A i. e. B⊂A and C is an improper subset of A i.e.

C⊆A.

example; if A = {1, 2, 3, 4}, B = {1, 2, 3} and C = {1, 2, 3, 4} then, B

is a proper subset of A i. e. B⊂A and C is an improper subset of A i.e.

C⊆A.

Important note:

**an Empty set is a subset of any set.**
The Difference between Proper and Improper Subsets

Distinguish between proper and improper subsets

If every element in A is also in B, and

**there exist at least one element**in B**that is not**in A, we say that A is**Proper subset**of B.
And if every element in A is in B, and there is no element in B that is not in A, we say that A is an

**improper subset**of B and we write A = B or symbolically we write A⊆B or B⊆A.
The Number of Subsets in a Set

Calculate the number of subsets in a set

Consider an example below:

When

you look at the table, you will see that the number of subsets can be

obtained by 2 raised to the number of elements of the set under

consideration. Therefore, the formula for finding the number of subsets

of a set with n elements is given by

you look at the table, you will see that the number of subsets can be

obtained by 2 raised to the number of elements of the set under

consideration. Therefore, the formula for finding the number of subsets

of a set with n elements is given by

**2n**, n is a number of elements of a set.
Example: How many subsets are there in set A = {Red, White, Yellow}. List them.

Solution: case 1, number of subsets

Set A has 3 elements. But

Number of subsets = 2n, so number of subsets of set A = 23 = 8

Therefore set A has 8 subsets

Case 2: list of subsets.

The subsets of set A are: { },{Red},{White},{Yellow},{Red,White},{Red,Yellow},{White,Yellow}, {Red,White,Yellow}.

**Operations With Sets**

Union of Two Sets

Find union of two sets

When

elements of two or more sets are put together with no repetition, we

get another set which is a union set. The symbol for union is ∪.

elements of two or more sets are put together with no repetition, we

get another set which is a union set. The symbol for union is ∪.

For example; if A = {a,b} and B = {a,b,c,d,e}, then A∪B = {a,b,c,d,e}.

Another example; if A = {a,b,c} and B = {5,6,2,4}, find A∪B.

Solution

A∪B = {a,b,c,5,6,2,4}

The Compliment of a Set

Find the compliment of a set

Complement means ‘

**everything that is not**’. For example; if A is a subset of a universal set, the**elements of a universal**set that are**not in A**are the complements of set A. complement of a set is denoted by C. So complement of set A is written as Ac. Or A′.
For example; if ∪= {0,1,2,3,4,5,6,7,8,9,} and A = {1,3,5,7,9}. Find Ac.

Solution

We are required to find elements which are not in A but are in ∪.

Therefore, Ac= {2,4,6,8}.

The Number of Elements in the Union and Intersection of two Sets

Find the number of elements in the union and intersection of two sets

If A = {a,b,c} and B = {5,6,2,4}, find A∪B.

Solution

A∪B = {a,b,c,5,6,2,4}

**Intersection**

If

we have two sets A and B and we decide to form a new set by taking only

common elements from both sets i.e. elements which are found both in A

and B. This new set is called intersection of set A and B. the symbol

for intersection is ∩. Intersection of sets A and B is denoted by A∩B.

for example; if A = {a,b,d,e} and B = {a b,d,f,g} then, the common

elements are: a, b and d. Therefore, A∩B = {a,b,d}. Another example; if A

= {1,3,5,7,9} and B = {2,4,6,8}. Find A∩B.

we have two sets A and B and we decide to form a new set by taking only

common elements from both sets i.e. elements which are found both in A

and B. This new set is called intersection of set A and B. the symbol

for intersection is ∩. Intersection of sets A and B is denoted by A∩B.

for example; if A = {a,b,d,e} and B = {a b,d,f,g} then, the common

elements are: a, b and d. Therefore, A∩B = {a,b,d}. Another example; if A

= {1,3,5,7,9} and B = {2,4,6,8}. Find A∩B.

Answer

When

you take a look at our sets, you will notice that there is no even a

single element which is in common. Therefore, intersection of set A and B

is an Empty set i.e. A∩B = or { }.

you take a look at our sets, you will notice that there is no even a

single element which is in common. Therefore, intersection of set A and B

is an Empty set i.e. A∩B = or { }.

**Venn Diagrams**

Reprsenting Sets by using Venn Diagrams

Represent a sets by using venn diagrams

The

diagrams are oval shaped. They we named after John venn, an English

Mathematician who introduced them. For example A = {1,2,3} in venn

diagram can be represented as follows:

diagrams are oval shaped. They we named after John venn, an English

Mathematician who introduced them. For example A = {1,2,3} in venn

diagram can be represented as follows:

is a universal set which can be a set of counting numbers and A is a subset of it.

If

we have two sets, say Set A and B and these sets have some elements in

common and we are supposed to represent them in venn diagrams, their

ovals will overlap. For example if A = {a,b,c,d,e,} and B = {a,e,i,o,u}

in venn diagrams they will look like this:

we have two sets, say Set A and B and these sets have some elements in

common and we are supposed to represent them in venn diagrams, their

ovals will overlap. For example if A = {a,b,c,d,e,} and B = {a,e,i,o,u}

in venn diagrams they will look like this:

If

the two sets have no elements in common, then the ovals will be

separate. For example; if A = {1,2,3} and B = {5,6}. In venn diagram

they will appear like here below:

the two sets have no elements in common, then the ovals will be

separate. For example; if A = {1,2,3} and B = {5,6}. In venn diagram

they will appear like here below:

If

we have two sets, A and B and set A is a subset of set B then the oval

for set A will be inside the oval of set B. for example; if A = {b,c}

and B = {a,b,c,d} then in venn diagram it will look like this:

we have two sets, A and B and set A is a subset of set B then the oval

for set A will be inside the oval of set B. for example; if A = {b,c}

and B = {a,b,c,d} then in venn diagram it will look like this:

If

we have to represent the union or intersection of two or more sets

using venn diagrams, the appearance of the venn diagrams will depend on

whether the sets under consideration have some elements in common or

not.

we have to represent the union or intersection of two or more sets

using venn diagrams, the appearance of the venn diagrams will depend on

whether the sets under consideration have some elements in common or

not.

Information from Venn Diagrams

Interpret information from venn diagrams

Case 1: sets with elements in common.

Example 1: If A = {5,6,7,9,10} and B = {3,4,7,9,11} represent A union B and A intersection B in venn diagrams.

Solution

Case 1: A union B

Case 2: A intersection B

Example 2: A = {a,b,c,d,e,f}, B = {a,e} and C = {b,c,e,d}. Represent in venn diagrams A∪B∪C and A∩B ∩C.

Solution: case 1. A∪B∪C

Case 2: A ∩B∩C

Case 2: sets with no elements in common:

For example; A = {a,b,c,}, B = {d,f}, C = {h,g} on venn diagram will appear like this:

**Number of elements in two sets say set A and B i.e. n(A∪**

**B) is given by:**

**n(A∪**

**B) = n(A) + n(B) – n(A**∩

**B)**

proof: consider the venn diagram below:

From our venn diagram:

n(A) = x + y, n(B) = y + z, n(A∩B) = y and n(A∪B) = x + y + z thus;

n(A) + n(B) = (x + y) + (y + z)

= (x + y + z) + y

but x + y + z = n(A ∪B) and n(A∩B) = y

so,

n(A) + n(B) = n(A∪B) + n(A∩B)

make n(A∪B) be the subject of the formula

For example; if n(A) = 15, n(A∩B) = 3 and n(A∪B) = 24. Find n(B)

Soln;

Recall that: n(A∪B) = n(A) + n(B) – n(A∩B)

n(B) = n(A∪B) + n(A∩B) – n(A)

= 24 + 3 – 15

n(B) = 12

Therefore, n(B) = 12

**Word problems**

For

example; at Mtakuja primary school there are 180 pupils. If 120 pupils

like one of the sports, either netball or football and 50 pupils likes

netball while 30 pupils likes both netball and football. How many pupils

example; at Mtakuja primary school there are 180 pupils. If 120 pupils

like one of the sports, either netball or football and 50 pupils likes

netball while 30 pupils likes both netball and football. How many pupils

- likes football.
- Likes neither of the sport

Solutions.

Let be the universal set

N be the set of pupils who likes netball

F be the set of pupils who likes football

Thus,

n(F) = ?

n(N∩F) = 30

n(N∪F) = 120

n(μ) = 180

But we know that n(N∪F) = n(N) + n(F) – n(N∩F)

Thus, n(F) = n(N∪F) + n(N∩F) – n(N)

= 120 + 30 – 50

n(F) = 100

Therefore there are 100 pupils who likes football.

**2**. We have a total of 180 pupils at Mtakuja primary school

But only 120 pupils likes one of either the sport. so, those who likes neither of the sport will be 180 – 120 = 50

Therefore 50 pupils likes neither of the sport.

Alternatively: by using venn diagram

n(F) only = 120 – 30 -20 = 70

n(F) = those who likes both netball and football + those who likes football only

n(F) = 30 + 70 = 100

Therefore, there 100 pupils who likes football.

Exercise 1

1. If A = {Red,White,Blue} show by using symbol that Red, White and Blue are members of set A.

2. List the elements of set B if B is a set of counting numbers.

3. Which of the following sets are finite, infinite or empty sets.

- A = {y:y is an odd number}
- B = {1,3,7,…35}
- C = { }
- D = {Maths,Biology,Physics,Chemistry}
- E = {Prime numbers between 31 and 37}
- F = {….-2,-1,0,1,2,…}

4. If A = {1,4,9,16,25,36}, B = {1,4,9} and C = {1,3,4}, which of the following statement is true:

- A⊂B
- B⊂A
- A⊆C
- C⊆B

5. How many subsets are there in set A = {f,g,I,k,m,n}? List them all.

6.If A = {all letters of English Alphabets} and B = {c,d,g,h}.List the elements of B′.

7. Let B be a set of whole numbers and C a set of prime numbers found in a set of whole numbers, using venn diagram show B∩C.

8. Draw a venn Diagram and show by shading the required region:

9. If n(A) = 90, n(B) = 120 and n(A∩B) = 45. Find:

- n(A∪ B)
- n(B) only.
- n(A) only.

10.

In a certain meeting 40 people drank juice, 25 drank soda and 20 drank

both juice and soda. How many people were in the meeting, assuming that

each person took juice or soda?

In a certain meeting 40 people drank juice, 25 drank soda and 20 drank

both juice and soda. How many people were in the meeting, assuming that

each person took juice or soda?

**TOPIC 11:STATISTICS**

Statistics

is the study of the collection, analysis, interpretation, presentation

and organization of data. Statistics helps to present information using

picture or illustration. Illustration may be in the form of tables,

diagrams, charts or graphs.

is the study of the collection, analysis, interpretation, presentation

and organization of data. Statistics helps to present information using

picture or illustration. Illustration may be in the form of tables,

diagrams, charts or graphs.

Statistics

helps to present information using picture or illustration.

Illustration may be in the form of tables, diagrams, charts or graphs.

helps to present information using picture or illustration.

Illustration may be in the form of tables, diagrams, charts or graphs.

**Pictograms**

Information by Pictograms

Display Information by pictograms

This is a way of showing information using images. Each image stands for a certain number of things.

Interpretation of Pictograms

Interpret pictograms

For example here is a pictograph showing how many apples were sold over 4 months at a local shop.

Each picture of 1 apple means 10 apples and the half-apple means 5 apples.

Note that:

- The method is not very accurate. For example in our example we can’t show just 1 apple or 2 apples.
- Pictures should be of the same size and same distance apart. This helps easy comparison.
- The

scale depends on the amount of data you have. If the data is huge, then

one image can stand for large number like 100, 1000, 10 000 and so on.

**Bar Charts**

They are also called bar graphs. Is a graphical display of information using bars of different heights.

Horizontal and Vertical Bar Charts

Draw horizontal and vertical bar charts

For example; imagine you just did a survey of your friends to find what kind of movie they liked best.

We can show that on a bar graph as here below:

Scale: vertical scale: 1cm represents 1 kind of movie

Horizontal scale: 1 cm represents 1 movie they watched.

Interpretation of Bar Chat

Interpret bar chart

in a recent math test students got the following grades:

And this is a bar chart.

Scale: vertical scale: 1 cm represents 1 grade

Horizontal scale: 1 cm represents 2 students

**Line Graphs**

These are graphs showing information that is connected in some way. For example change over time.

Representing Data using Line Graphs

Represent data using line graphs

Example 1

you are learning facts about mathematics and each day you do test to see how Good you are.

**Solution**

We need to have a scale that helps us to know how many Centimeter will represent how many facts that you were correct.

Vertical scale: 1 cm represents 2 facts that you were right

Horizontal scale: 2 cm represents 1 day.

Interpretation of Line Graphs

Interpret line graphs

Example 2

The graph below shows the temperature over the year:

From the graph we can get the following data:

- The month that had the highest temperature was August.
- The month with the lowest temperature was February.
- The difference in temperature between February and may is (320-290)=30C.
- The total number of months that had temperature more than 300C was 9.

**Pie Chart**

This is a special chart that uses “

**pie slices**” to show relative size of data. It is also called Circle graph.
Data using Pie Charts

Display data using pie charts

Example 3

The

survey about pupils interests in subjects is as follows: 30 pupils

prefer English, 40 pupils refer French and 50 pupils prefer Kiswahili.

Show this information in a pie chart.

survey about pupils interests in subjects is as follows: 30 pupils

prefer English, 40 pupils refer French and 50 pupils prefer Kiswahili.

Show this information in a pie chart.

**How to make them?**

Step 1: put all you are data into a table and then add up to get a total.

Step

2: divide each value by the total and then multiply by 360 degrees to

figure out how many degrees for each “pie slice” (we call pie slice a

sector) We multiply by 360 degrees because a full circle has a total of

360 degrees.

2: divide each value by the total and then multiply by 360 degrees to

figure out how many degrees for each “pie slice” (we call pie slice a

sector) We multiply by 360 degrees because a full circle has a total of

360 degrees.

Step

3: draw a circle of a size that will be enough to show all information

required. Use a protractor to measure degrees of each sector. It will

look like the one here below:

3: draw a circle of a size that will be enough to show all information

required. Use a protractor to measure degrees of each sector. It will

look like the one here below:

Interpretation of Pie Charts

Interpret pie charts

Example 4

**Interpreting the pie charts.**

How many pupils are between 121-130cm tall?

The

angle of this section is 36 degrees. The question says there are 30

pupils in the class. So the number of pupils of height 121 – 130 cm is:

angle of this section is 36 degrees. The question says there are 30

pupils in the class. So the number of pupils of height 121 – 130 cm is:

36/360 x 30 = 3

**Frequency Distribution Tables**

**Frequency**

is how often something occurs. For example; Amina plays netball twice

on Monday, once on Tuesday and thrice on Wednesday. Twice, once and

thrice are frequencies.

By

**counting frequencies**we can make**Frequency Distribution table.**
Frequency Distribution Tables from Raw Data

Make frequency distribution tables from raw data

For example; Sam’s team has scored the following goals in recent games.

2, 3, 1, 2, 1, 3, 2, 3, 4, 5, 4, 2, 2, 3.

How to make a frequency distribution table?

•Put the number in order i.e. 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 5

•Write how often a certain number occurs. This is called tallying

- how often 1 occurs? (2 times)
- how often 2 occurs? (5 times)
- how often 3 occurs? (4 times)
- how often 4 occurs? (2 times)
- how often 5 occurs? (1 times)

•Then, wrote them down on a table as a Frequency distribution table.

From the table we can see how many goals happen often, and how many goals they scored once and so on.

Interpretation of Frequency Distribution Table form Raw Data

Interpret frequency distribution table form raw data

**Grouped Distribution Table**

This

is very useful when the scores have many different values. For example;

Alex measured the lengths of leaves on the Oak tree (to the nearest cm)

is very useful when the scores have many different values. For example;

Alex measured the lengths of leaves on the Oak tree (to the nearest cm)

9,

16, 13, 7, 8, 4, 18, 10, 17, 18, 9, 12, 5, 9, 9, 16, 1, 8, 17, 1, 10,

5, 9, 11, 15, 6, 14, 9, 1, 12, 5, 16, 4, 16, 8, 15, 14, 17.

16, 13, 7, 8, 4, 18, 10, 17, 18, 9, 12, 5, 9, 9, 16, 1, 8, 17, 1, 10,

5, 9, 11, 15, 6, 14, 9, 1, 12, 5, 16, 4, 16, 8, 15, 14, 17.

**How to make a grouped distribution table?**

**Step 1**:

Put the numbers in order. 1, 1, 1, 4, 4, 5, 5, 5, 6, 7, 8, 8, 8, 9, 9,

9, 9, 9, 9, 10, 10, 11, 12, 12, 13, 14, 14, 15, 15, 16, 16, 16, 16,

17, 17, 17, 18, 18,

**Step 2**: Find the

**smallest**and the

**largest**values in your data and calculate the

**range**.

The smallest (minimum) value is 1 cm

The largest (maximum) value is 18 cm

The range is 18 cm – 1 cm = 17 cm

**Step 3**:

Find the size of each group. Calculate an approximate size of the

group by dividing the range by how many groups you would like. then,

round that group size up to some simple value like 4 instead of 4.25

and so on.

Let us say we want 5 groups. Divide the range by 5 i.e. 17/5 = 3.4. then round up to 4

**Step 4**: Pick a

**Starting value**

that is less than or equal to the smallest value. Try to make it a

multiple of a group size if you can. In our case a start value of

**0**make the most sense.

Step 5: Calculate the list of groups (we must go up to or past the largest value).

In

our case, starting at 0 and with a group size of 4 we get 0, 4, 8, 12,

16. Write down the groups. Include the end value of each group. (must

be less than the next group):

our case, starting at 0 and with a group size of 4 we get 0, 4, 8, 12,

16. Write down the groups. Include the end value of each group. (must

be less than the next group):

The largest group goes up to 19 which is greater than the maximum value. This is good.

Step 6: Tally to find the frequencies in each group and then do a total as well.

**Done!**

**Upper and Lower values**

Referring our example; even though Alex measured in whole numbers, the data is

For instance 3 cm means the actual value could have been any were

between 2.5 cm to 3.5 cm. Alex just rounded numbers to whole numbers.

And 0 means the actual value have been any where between -0.5 cm to 0.5

cm. but we can’t say length is negative.

**continuous**.For instance 3 cm means the actual value could have been any were

between 2.5 cm to 3.5 cm. Alex just rounded numbers to whole numbers.

And 0 means the actual value have been any where between -0.5 cm to 0.5

cm. but we can’t say length is negative.

**3.5 cm**is called**upper real limit**or**upper boundary**while**–0.5 cm**is called**lower****real limit**or**lower boundary**. But since we don’t have negative length we will just use 0. So regarding our example the lower real limit is 0.
The limits that we used to group the data are called limits. For example; in a group of 0 – 3,

**0**is called**lower limit**and**3**is called**upper limit**.
See an illustration below to differentiate between Real limits and limits.

Class size is the difference between the upper real limit and lower real limit i.e

**. class size = upper real limit – lower real limit**
We use the symbol

**N**(capital N) to represent the total number of frequencies.**Class Mark of a class Interval**

This

is a central (middle) value of a class interval. It is a value which is

half way between the class limits. It is sometimes called mid-point of a

class interval. Class mark is obtained by dividing the sum of the upper

and lower class limits by 2. i.e.

is a central (middle) value of a class interval. It is a value which is

half way between the class limits. It is sometimes called mid-point of a

class interval. Class mark is obtained by dividing the sum of the upper

and lower class limits by 2. i.e.

Class mark =

Referring to our example class marks for the class intervals are;

Interpretation of Frequency Distribution Tables

Interpret frequency distribution tables

Example 5

interpretation of frequency distribution data:

total number of cars in the survey:

6 + 3 + 5 + 1 = 15

There are 6 cars with one person in, 3 cars with two people, 5 cars with three people, and 1 car with four people.

the most likely number of people in a car:

Cars

in the survey are most likely to have 1 person in them as this is the

tallest bar – 6 of the cars in the survey had one occupant.

in the survey are most likely to have 1 person in them as this is the

tallest bar – 6 of the cars in the survey had one occupant.

**Frequency Polygons**

This is a graph made by joining the middle-top points of the columns of a frequency Histogram

Drawing Frequency Polygons from Frequency Distribution Tables

Draw frequency polygons from frequency distribution tables

For example; use the frequency distribution table below to draw a frequency polygon.

Solution

In

a frequency polygon, one interval is added below the lowest interval

and another interval is added above the highest interval and they are

both assigned zero frequency. The points showing the frequency of each

class mark are placed directly over the class marks of each class

interval. The points are then joined with straight lines.

a frequency polygon, one interval is added below the lowest interval

and another interval is added above the highest interval and they are

both assigned zero frequency. The points showing the frequency of each

class mark are placed directly over the class marks of each class

interval. The points are then joined with straight lines.

Interpretation of Frequency Polygons

Interpret frequency polygons

The frequency polygon below represents the heights, in inches, of a

group of professional basketball players. Use the frequency polygon to

answer the following questions:

group of professional basketball players. Use the frequency polygon to

answer the following questions:

**Histograms**

Is a graphical display of data using bars of different heights. It is similar to

**bar charts**, but a Histogram groups numbers into**ranges (intervals)**. And you decide what range to use.
Drawing Histograms from Frequency Distribution Table

Draw histograms from frequency distribution table

For

example; you measure the height of every tree in the orchard in

Centimeters (cm) and notice that, their height vary from 100 cm to 340

cm. And you decide to put the data into groups of 50 cm. the results

were like here below:

example; you measure the height of every tree in the orchard in

Centimeters (cm) and notice that, their height vary from 100 cm to 340

cm. And you decide to put the data into groups of 50 cm. the results

were like here below:

Represent the information above using a histogram.

Solution

In order to draw histogram we need to calculate class marks. We will use class marks against frequencies.

**Scale:**vertical scale: 1 cm represents 5 trees

horizontal scale: 1 cm represents 50 cm (range of trees heigths).

Interpretation of Histograms

Interpret histograms

The histogram below represents scores achieved by 250 job applicants on a personality profile.

- Percentage of the job applicants scored between 30 and 40 is10%
- Percentage of the job applicants scored below 60 is90%
- Job applicants scored between 10 and 30 is100

**Cumulative Frequency Curves**

Cumulative means “

**how much so far**”. To get cumulative totals just add up as you go.
Drawing Cumulative Frequency Curves from a Cumulative Frequency Distribution Table

Draw cumulative frequency curves from a cumulative frequency distribution table

For example; Hamis has earned this much in the last 6 months.

**How to get cumulative frequency?**

The first line is easy, the total earned so far is the same as Hamis earned that month.

But, for February, the total earned so far is Tsh 12 000 + Tsh 15 000 = Tsh 27 000.

for

March, we continue to add up. The total earned so far is Tsh 12 000 +

Tsh 15 000 + Tsh 13 000 = 40 000 or simply take the cumulative of

February add that of March i.e. Tsh 27 000 + Tsh 13 000 = Tsh 40 000.

March, we continue to add up. The total earned so far is Tsh 12 000 +

Tsh 15 000 + Tsh 13 000 = 40 000 or simply take the cumulative of

February add that of March i.e. Tsh 27 000 + Tsh 13 000 = Tsh 40 000.

The rest of the months will be:

April: Tsh 40 000 + Tsh 17 000 = Tsh 57 000

May: Tsh 57 000 + Tsh 16 000 = Tsh 73 000

June: TSh 73 000 + Tsh 20 000 = Tsh 93 000

The results on a

**cumulative frequency table**will be as here below:**The last cumulative total should math the total of all earnings.**

Graph for cumulative polygon is drawn with cumulative frequency on vertical axis and real upper limits on Horizontal axis.

Scale: Vertical scale: 1cm represents Tsh 20 000

Give number to months. i.e. January =2, February =3 and so on

**Note**: To draw an Orgive, plot the points vertically above the upper real limits of each interval and then

**join the points by a smooth curve**. Add real limit to the lowest real limit and give it zero frequency.

Interpretation of a Cumulative Frequency Curve

Interpret a cumulative frequency curve

Interpretation:

Its Cumulative Frequency Curve or Orgive will be:

Exercise 1

1. Represent the data in the table below using pictures (pictograms)

2. The following table represent the number of pupils with their corresponding height.

**FORM TWO MATHEMATICS OTHER TOPICS**

**FORM TWO MATHEMATICS STUDY NOTES TOPIC 1-2.**

**FORM TWO MATHEMATICS STUDY NOTES TOPIC 3-4**

**FORM TWO MATHEMATICS STUDY NOTES TOPIC 5-7**

**FORM TWO MATHEMATICS STUDY NOTES TOPIC 8-9.**

**FORM TWO MATHEMATICS STUDY NOTES TOPIC 10-11.**

**O’LEVEL MATHEMATICS NOTES ****FORM ONE MATHEMATICS STUDY NOTES****FORM TWO MATHEMATICS STUDY NOTES****FORM THREE MATHEMATICS STUDY NOTES****FORM FOUR MATHEMATICS STUDY NOTES**