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Hi everyone.
My name is Mrs. Jenkins.
I can't wait to learn with you today.
Today's lesson is from the unit, using IT to organise and present data.
Our lesson today is called Comparing Data, and by the end of today's lesson, you will be able to compare data about attributes.
We are going to look at two key words in today's lesson.
The first word is the word compare.
Can you say the word compare? Great job.
The second word is the word attribute.
Can you say the word attribute? Great job.
Okay.
So the word compare means looking at two or more things to see what is the same or different.
And the word attribute is a thing or quality about an object like its colour or size.
Throughout today's lesson, we're going to use both of those words, so keep an eye out for them.
Those words are compare and attribute.
Our lesson today is split into two learning cycles.
The first is called collect and record data about attributes.
The second is called compare attributes using data.
So we're going to begin with collect and record data about attributes.
We can describe and group objects using attributes.
So in the pictures you can see in the first column, we have got two different groups split by the number of wheels.
So objects with four wheels are in the top circle, and objects with two wheels are in the bottom.
And then if we move to the middle, we can see we've got things with wheels and things with wings.
And then in the last section we have number of eyes.
So we have monsters with one eye, and monsters with more than one eye.
Attributes can be used to describe people.
So we have got our class of Oak children here.
We have Sophia, Alex, Aisha, Izzy, Sam, Andeep, and Lucas.
How could you describe the Oak children? When objects or people are grouped by attribute, the groups do not need to be equal.
There can be groups that are larger or smaller.
We have grouped the children here.
We have Sophia, Aisha, and Izzy in one group, Alex in a group, and Sam, Andeep and Lucas in a group.
How have the Oak children been grouped? What did you think? They have been grouped by what they are wearing: skirts, shorts, or trousers.
Sophia, Aisha and Izzy are wearing skirts.
Alex is wearing shorts and Sam, Andeep and Lucas are wearing trousers.
Okay, let's have a little check how we are doing.
True or false? People can be grouped by their attributes.
Have a go.
How did you get on? True or false? People can be grouped by their attributes.
It is true.
People or objects can be grouped by their attributes such as what type of clothing they are wearing, their height or hair colour.
We have Izzy here.
Here are some of Izzy's attributes.
Her gender is a girl.
For earrings, she has none.
Her hairstyle is curly.
Her hair colour is black.
She has hair.
Her mood is happy and we can tell because she's got a bit of a smile on her face.
All of these attributes are visible.
Can you think of any attributes that are not visible? Okay, how did you get on? I've got Izzy's attributes here.
She is kind.
Her favourite subject is art.
Her favourite colour is blue.
Her favourite sport is football.
She has three brothers and she lives in a flat.
All of these attributes are part of Izzy, but it is not possible to know these things just by looking at her.
Okay, we're going to play a game.
You are going to put your thumbs up if you agree with any of the following.
Okay.
Thumbs up if you have a brother.
Okay, thumbs down.
Thumbs up if you like pizza.
Okay, thumbs down.
Thumbs up if you enjoy PE.
Okay, thumbs down.
Thumbs up if you enjoy maths.
Okay, thumbs down.
Thumbs up if you have a cat.
How did you get on? Did you put your thumbs up? All of those statements make you who you are.
They are attributes about you.
Although they're attributes about you, they're not visible to anyone.
Data can be collected about people including both visible and invisible attributes.
This could include finding out what the most common hair colour is, or what the most popular subject is in class.
Let's do a little check.
How can you describe attributes? A, only visible.
B, both visible and invisible, or C, only invisible.
Have a go.
How did you get on? I asked you how can you describe attributes.
A, only visible, B, both visible and invisible, or C, only invisible.
The answer was B.
Attributes can be both visible and invisible.
We're going to move on to our first task now.
I would like you to create a tally chart, collecting information about hair colour in your class.
So we have a tally chart and the options we have are black, brown, ginger, blonde, and other.
You're going to make a tally mark for each person you see with each hair colour, and then work out the total.
How did you get on? You were going to create a tally chart collecting information about hair colour in your class.
Your tally chart might be a little bit different to this, but similar to the rest of the tally charts for your class.
And this is because my tally chart is based on a different group of children to your tally chart.
We're going to move on to our second learning cycle now, we're going to compare attributes using data.
When we have collected data about people's attributes, we can use the data to create a pictogram.
The pictogram can be used to compare people's attributes, finding out the most or least common attributes.
And remember, an attribute is a thing or quality about an object like its colour or size.
The Oak children were discussing which subject they think is the most popular in class.
June says, "I think the most popular subject will be maths," but Andeep says, "I think that art will be more popular than maths." How can we find out who is right? That's right.
The children could create a tally chart to collect the information about all the different children's favourite subjects.
For this tally chart, the children's favourite subject is the attribute.
This could be then used to create a pictogram where they could compare the different subjects, and which is the most popular.
So remember, compare is one of our key words.
It's looking at two or more objects to see what is the same and what is different.
Let's have a little check.
True or false.
Data about attributes can be collected in a tally chart.
Have a go.
How did you get on? I asked you true or false.
Data about attributes can be collected in a tally chart.
The answer was true.
Data about attributes can be collected in a tally chart, and then used to create a pictogram or other chart.
We have a tally chart here, which shows the favourite subjects of the Oak class children.
So we've got maths, english, science, art, and other.
And then all their tally marks next to the subjects that they have chosen.
We can use the tally chart to complete a pictogram.
Why do we have a row labelled other? Using other allows the voters to have an option if their favourite subject is not listed.
Sometimes when we are doing a survey about a topic that has lots of options, for example, subjects, there might be too many options to create in the table.
So we choose four main options, and then we have an other, so that if their subject is not listed, they've still got something to choose.
The pictogram can be used to compare how popular different subjects are.
It is also possible to count how many people were questioned.
In a pictogram, one picture represents each count.
Each picture is related to the subject it is for.
Okay, little check now.
Which is the most popular subject? How did you get on? I asked you which is the most popular subject.
Art is the most popular subject.
We can see that we have got more people choosing art than any of the other subjects.
We can see that seven children chose maths, six children chose english, five chose science, eight chose art, and four chose other.
Now that shows art is the most popular subject.
Attributes can be visible or invisible things that are personal to each person.
They can be visible and include things to do with appearance.
They can also be invisible and related to personality, and preferences like favourite sport, hobbies, and subjects.
We're going to start our next task now.
You're going to use the pictogram to answer the questions about children's favourite sports.
I'll read the questions to you now.
There are two sets of questions.
What was the most popular sport? How many people prefer swimming? How many children were questioned? So the second set of questions, how many more children chose football than rugby? What was the least popular sport? And how many children chose tennis? Have a go.
How did you get on? I asked you some questions about the pictogram.
I asked what was the most popular sport? How many people prefer swimming? How many children were questioned? How many more children chose football than rugby? What was the least popular sport? And how many children chose tennis? Let's have a look at the answers.
What was the most popular sport? And that was football.
How many people prefer swimming? Six people chose swimming.
How many children were questioned? And that is 25.
So we can add up our different columns to check.
So we have got six children choosing swimming, added to the four children choosing rugby gives us 10.
Add that to our eight children choosing football gives us 18 and our five children choosing tennis gives us 23.
And our two children choosing basketball gives us 25.
Our second set of questions.
How many more children chose football than rugby? Four children chose football than rugby.
What was the least popular sport? And that was basketball.
Only two people chose basketball.
And how many children chose tennis? And that was five.
How did you get on? You have worked so hard today in our lesson.
Let's summarise what we have learned.
Everyone has attributes that can be visible or invisible.
Remember, an attribute is a thing or quality about an object like its colour or size.
These attributes can differ from person to person.
Data can be collected about these attributes to compare the differences and find out information.
So when we compare, we are looking at two or more things to see what is the same or different.
Using a pictogram to compare different attributes, you can find the most popular or least popular things such as sports or food.
Great work everyone.
I hope to see you all again soon.