Lesson video

Hello.

My name's Mrs. Jones.

And I'm really pleased you decided to join this lesson today.

In this lesson, we will look at data and where we can find data that is useful.

Data can help us answer questions.

And data can be interesting facts.

Making sure we use the right data to help us answer a question is important.

So let's get started and learn about data and finding the right data to help us answer a question.

Welcome to today's lesson.

Today's lesson is called Data as Clues, from the unit Data Detectives.

And by the end of this lesson, you'll be able to identify useful data that can help answer a question.

There are two keywords to today's lesson.

Data.

Data is numbers, words, or pictures collected to learn something.

Source.

Source is where data comes from.

There are two sections to today's lesson.

The first is recognize data as clues we can use, and the second is identify useful pieces of data.

So let's start with recognize data as clues we can use.

At Oak Academy Zoo, a rhino called Ruby is missing.

We will look at data to find clues about what might have happened.

Data is made up of facts that we collect.

These facts are written down so they can be checked later.

We collect data by counting, measuring, and observing.

Each method gives us different facts.

Jacob says, "Observing means watching carefully.

" Examples of data include numbers, times, measurements, and written observations.

Data always comes from a source.

Remember, the source is where the data comes from.

A source is where the data is recorded or collected.

So you can see here we have data in the middle.

And from that, that's our source, we then have data.

We have a log, timetable, list, map, and record.

Different sources can give us different clues.

For example, logs, records, and timetables.

Sofia says, "Different records tell us different things.

A log is written regularly to record what happens.

" And Sofia also says, "A record keeps important information so it can be checked later.

" Sofia says, "A timetable shows what happens and when.

" When a question is asked, data can be used to help answer it.

The data chosen becomes a clue.

Data is different from a guess.

Data is based on recorded facts, not opinions.

Sofia says, "I think it might rain tomorrow.

" And Jacob says, "That is a guess, as we are not sure yet.

" Sofia says, "There are four rhinos in the enclosure.

" And Jacob says, "That is a fact because we counted them.

" Let's have a quick check.

Which of these is data?

Is it a, I think Ruby escaped, b, there are three rhinos in the enclosure, and c, Ruby looks unhappy.

Have a think.

Which of those is data?

Pause the video to consider your answer and then we'll check it.

Let's check your answer.

The answer is b, there are four rhinos in the enclosure.

Because we can check that, we can count the rhinos.

Well done if you got that correct.

Using data helps us investigate fairly and carefully.

This is important when explaining what has happened.

Sofia says, "Data is written down so everyone can check it.

" Jacob says, "That means we are not just guessing what happened.

" Let's have a quick check.

True or false?

Everything someone says about Ruby the rhino is data.

Is that true or false?

Pause the video to have a think if you think that is true or false.

Is everything someone says about Ruby the rhino data?

Pause the video and then we'll check your answer.

Let's check your answer.

The answer was false.

Well done if you got that.

Why is it false?

Pause the video and have a think.

Could you explain why that is false?

And then I'll show you the answer.

Let's check your answer.

Not everything said is data.

Data is recorded facts.

Opinions or guesses are not data.

Well done if you got that correct.

Let's do the activity.

Which of these could be used as data to investigate Ruby?

And we've got four here to look at.

So first one is Ruby was eating at 8:30.

The second, I think Ruby escaped.

The third one, the enclosure was checked at 11.

And the fourth one is Ruby is my favorite animal.

So have a think.

Which of those could be used as data to investigate Ruby?

And can you explain why?

Pause the video to complete the activity and then we'll go through the answers.

Let's check your answers.

Sofia says, "Ruby was eating at 8:30 can be used as data because it is a recorded fact.

" Jacob says, "The enclosure was checked at 11.

This can be used as data because it is a recorded fact.

" Well done if you got those two.

Well done for completing the activity.

Let's move on to the second part of today's lesson, identify useful pieces of data.

Not all data is useful for every question.

Some data helps answer a question and some does not.

Jacob says, "It depends on what we are trying to find out.

" To decide if data is useful, you must consider the question.

Different questions need different data.

Sofia says, "The price of a coffee in the cafe is 1.

20 pound, but that would not tell us when Ruby was last seen.

" The data there is not helpful to the question on what happened to Ruby.

Jacob says, "But the zookeeper log might have some useful data.

" Let's have a quick check.

What data would be most useful for answering when Ruby was last seen?

Is it a, the cafe menu prices, b, how many lions are in the zoo, or c, a zookeeper log?

Pause the video and have a think.

Which one of those, a, b, or c, would be the most useful for answering when Ruby was last seen?

And then we'll check your answer.

Let's check your answer.

The answer was c, a zookeeper log.

Well done if you got that correct.

The question is: when was Ruby last seen in her enclosure?

To answer a question about when, you will need data that includes times.

A zookeeper log is a useful source.

Zookeeper logs record observations at specific times.

And here we've got the zookeeper log for the rhino enclosure.

So we can see that at 8:30, Ruby was eating.

At 9:30, Ruby was asleep.

At 10:00, the zoo opened and Ruby was walking around the enclosure.

At 10:30, the rhino talk to visitors took place.

At 11:00, the enclosure was checked and Ruby not seen.

This data includes times and observations.

It could be useful for our question.

By looking at the data and comparing the times, you can notice what has changed.

"Something is different at 11:00," Jacob says.

Can you see there on the zookeeper log that at 11:00 the enclosure was checked and Ruby not seen?

Ruby was last seen before 11:00.

This is a clue based on data.

The zookeeper log is useful because it records times, it records observations, and it helps answer the question.

Some data would not help you answer this question.

For example, what Ruby ate or the weather that day.

This data is interesting but not useful here.

Let's have a quick check.

True or false?

If a piece of data is interesting, it will help you answer the question.

Pause the video and have a think.

Is that true or false?

If a piece of data is interesting, it will help you answer the question.

Is that true or false?

Pause the video, have a think, and then we'll check your answer.

Let's check your answer.

The answer was false.

Why is that false?

Have a think.

Can you explain why that is false?

And then I'll show you the answer.

Let's check your answer.

Interesting data is not always useful.

Its usefulness depends on the question being asked.

If when is in the question, time observations are useful.

Well done if you got that correct.

Let's do the activity.

Use the zookeeper log to answer the questions.

So here we have that zookeeper log for the rhino enclosure.

At 8:30, Ruby is eating.

At 9:30, Ruby is asleep.

At 10:00, the zoo opened and Ruby is walking around the enclosure.

At 10:30, there is a rhino talk to visitors.

At 11:00, the enclosure is checked and Ruby's not seen.

So use that zookeeper log to answer these questions.

What time was Ruby fed?

What time did the first visitors see Ruby?

When was Ruby last seen in her enclosure?

Pause the video, have a look at that zookeeper log, and answer those questions, and then we'll go through the answers.

Let's have a look at the answers.

So Sam says, "Ruby was fed at 8:30.

" So there's the answer to the first question.

The second, "Ruby was seen walking around the enclosure at 10:00.

" And Jacob, for the last one, says, "Ruby was last seen before 11:00.

" Well done if you got those correct.

In summary, data is made up of facts that are collected when you count, measure, or observe.

Data is recorded so it can be checked and used later.

Data can be collected from different sources, such as logs, records, and timetables.

When a question is asked, you can answer it using clues found in data.

Some data is more useful than others, depending on the question being asked.

Well done for completing this lesson, Data as Clues.