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# Using Data Clusters to Find Hacker

Media Type:
Video

Running Time: 4m 01s
Size: 10.9 MB

or

Source: Cyberchase: "Castleblanca"

### Collection Developed by:

Collection Credits

### Collection Funded by:

Funding for the VITAL/Ready to Teach collection was secured through the United States Department of Education under the Ready to Teach Program.

In this video segment from Cyberchase, Hacker has kidnapped Dr. Marbles and the CyberSquad is out to rescue him. Hacker has Dr. Marbles hidden somewhere in a castle in Castleblanca. The CyberSquad surveys the residents to try to find out where Hacker has been seen. They display their findings on a map so they can analyze their data and find Hacker.

Connections

Everyday Math (2004)
Teacher Lesson Guide, pp. 98- 102, 115-119
Student Reference, pp. 68, 262
Math Journal, pp. 35, 42-43
Math Master, p. 242, 246

Investigations/Scott Foresman (2006)
The Shape of the Data, all Investigations

Teaching Tips

Here are some Frame, Focus and Follow-up suggestions for using this video in a math lesson.

What is Frame, Focus and Follow-up?

Frame: Suppose your class was trying to gather information about the favorite ice cream flavors of students in your school. How would you go about doing this? Would it be important for each of the students taking the survey to answer the exact same questions? How could you organize the data to help you figure out which flavors students liked the most?

Focus: In this video segment, the CyberSquad gathers information about Hacker’s whereabouts by doing a survey of local residents in Castleblanca. What did they realize they had done wrong in their first survey? What did they do to make the survey results more helpful?

Follow Up: What did the CyberSquad mean when they were talking about data clusters? How did data clusters help them find Hacker? How did the CyberSquad use a map to chart their survey responses?

Transcript

JACKIE : So how come our survey found Dracula instead of Hacker?

MATT : Got me.

INEZ : I'm stumped.

DIGIT : Maybe we got lousy information! Oops! Sorry.

CAPED CREATURE #2 (TO #1): Ah, there you are!

DIGIT : That's it! Oh, earth-lies!

JACKIE : Not now, Didge. We're trying to figure out what went wrong with our survey.

DIGIT : Look over there!

INEZ : Hey! Those two sort of look like how we described Hacker! Mean and tall with a cape.

DIGIT : I uh...I think I said cloak instead of cape. And I know I said ugly instead of mean. But c'mon, Hacker is ugly!

JACKIE : Well, you weren't the only one, Didge. I did said large once or twice instead of tall.

MATT : I know I said creepy once. But I took it back.

INEZ : That's our problem! Because we asked different questions - we found different people.

MATT : And we found Dracula because he looked the most like all the things we said.

INEZ : We need to be more specific! We need to describe Hacker in more detail and ask exactly the same questions!

DIGIT : You mean we have to do our survey all over again?

MATT : If we expect to find Hacker, we do.

JACKIE : Look, his skin is green, right?

INEZ : And he's got a big, pointy chin.

MATT : Bingo! We ask who's seen a tall guy with a cape - green skin - and a pointy chin. That oughta narrow it down. Let's do it!

INEZ : Only one problem. How are we going to find everyone at night?

GOBLIN: Tickets! Get your Harvest Moon Ball tickets. Everyone in Castleblanca's gonna be here!

INEZ : That's it! We can collect our data right here! You heard what he said - everyone's going to be at the Ball.

MATT : Hey, mister! How about some tickets?

JACKIE : Frank, have you seen a tall green man with a cape and a pointy chin anywhere around town?

MATT : Where?

JACKIE : Thanks.

SAM ONE: A tall green man with a cape and a pointy chin? Huh, never saw him.

SAM TWO: Well, I did!

SAM ONE: No, you didn't!

SAM TWO: Did too!

SAM ONE: No, you didn't!

INEZ : Where did you see him?

SAM TWO: On the corner of Grizzly and Murky!

SAM ONE: When were we ever at Grizzly and Murky?

SAM TWO: Yesterday!

SAM ONE: Where was I?

INEZ : Uh, thanks guys. She places a red dot on her map.

DIGIT : Have you seen a tall green man with a cape and a pointy chin? Where did you see him? Thanks.

MATT : Have you seen a tall, green man with a cape and a pointy chin?

INEZ : Our sightings are all over the map!

MATT : Our's too!

JACKIE : And no clusters!

INEZ : But we asked the same question this time. What’s up?

DIGIT : Maybe Hacker's not even here.

MATT : Time out! We can compare the data and maybe then we'll get a better idea of where Hacker was sited. It’s all the same kind of data. Maybe then we’ll get a better idea of where everybody saw Hacker. What have we got?

JACKIE : Look at all these sightings bunched together. 5 of them - right here!

INEZ : But that looks like a swamp or something! We're looking for a castle, remember?

JACKIE : Maybe we just thought we were looking for a castle. We gotta go with the information that’s here.

JACKIE/INEZ/MATT : Okay! Let’s go for it.

INEZ : It's the Grim Wreaker!

DIGIT : I’m gonna take a closer look.

INEZ : You were right, Jackie. The answer to our question was hidden inside the data.

MATT : The cluster of data nailed him. Let’s go!

Standards

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