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Data Science Quiz Lesson 4

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What does Data Science mean?

a)

uploading data

b)

axing data

c)

Transferring data

d)

Getting meaning from data

2.

What does visualisation mean?

a)

Showing data in a graph or picture way

b)

Showing data in a transfow way or picture way

c)

Showing data in a transfow way or graph way

3.

What does correlation mean?

a)

The two pieces of data link to each other

b)

The two pieces of data are not linked to each other

4.

What is an outlier?

a)

A piece of data that is not extreme value and does not match the rest of the data

b)

A piece of data that is an extreme value and does not match the rest of the data

5.

Regarding The Investigative Cycle, tick all the correct parts of it.

a)

Data

b)

Plan

c)

Analysis

d)

Problem

e)

Collection

6.

Regarding The Investigative Cycle, what is the definition for Problem?

a)

Predict an answer to the question(s) and devise a data collection plan

b)

Define the problem and pose investigable questions

c)

Visualize the data, identify patterns, trends, correlations, or outliers

7.

Regarding The Investigative Cycle, what is the definition for Analysis?

a)

Predict an answer to the question(s) and devise a data collection plan

b)

Define the problem and pose investigable questions

c)

Visualise the data, identify patterns, trends, correlations, or outliers

8.

Recap Question - What is a HDD?

a)

Hyper Drive Disco - the only way to disco

b)

Hard Disk Disco - The floor of the disco

c)

Hard Disk Drive - a way to save data permanently using a metal disk

d)

Hard Disk Drive - switches that turn on and off to replicate binary

9.

Recap Question - What is a SSD?

a)

Solid State Disco - the only way to disco

b)

Solid State Disco - The floor of the disco

c)

Solid State Drive - a way to save data permanently using a metal disk

d)

Solid State Drive- switches that turn on and off to replicate binary

10.

Recap Question - What is an outlier in data?

a)

data that fits the trend

b)

data that is significantly different to the rest of the data

c)

data that is a little different to the rest of the data