4/4 Alfabetizzazione di dati

Cos’è l’alfabetizzazione dei dati?

Leggere e comprendere i dati: Metodi e strumenti

Raccogliere e comunicare dati e informazioni: Metodi e strumenti

Dati per lo sviluppo sostenibile

Compito Pratico

1 Quiz

Final Quiz for Alfabetizzazione di dati

Final Quiz for Alfabetizzazione di dati

4/4 Alfabetizzazione di dati Compito Pratico Final Quiz for Alfabetizzazione di dati

Time limit: 0

Quiz Summary

0 of 10 questions completed

Questions:

Information

You have already completed the quiz before. Hence you can not start it again.

Quiz is loading…

You must sign in or sign up to start the quiz.

You must first complete the following:

Results

Quiz complete. Results are being recorded.

Results

0 of 10 questions answered correctly

Your time:

Time has elapsed

You have reached 0 of 0 point(s), (0)

Earned Point(s): 0 of 0, (0)
0 Essay(s) Pending (Possible Point(s): 0)

Categories

Not categorized 0%

1
2
3
4
5
6
7
8
9
10

Current
Review
Answered
Correct
Incorrect

Question 1 of 10

1. Question
Data Literacy is:
- The ability to read, work with and analyze data
- Only the ability to read and work with data
- The ability to read, work with, analyze, and argue with data
- The ability to generate data
Correct

Incorrect
Question 2 of 10

2. Question
According to DigiComp 2.0, Data Literacy comprises:
- Three data literacy competences dimensions
- Four data literacy competences dimensions
- Two data literacy competences dimensions
- Five data literacy competences dimensions
Correct

Incorrect
Question 3 of 10

3. Question
The following categories are considered to be types of data:
- Qualitative, quantitative and confounding
- Central tendency, discrete and continuous
- Nominal, ordinal and qualitative
- None of the above
Correct

Incorrect
Question 4 of 10

4. Question
First-party data:
- Is collected directly from the source
- Is aggregated from various sources
- It comes directly from the company that collected it
- None of the above
Correct

Incorrect
Question 5 of 10

5. Question
The main data collection tools can be:
- Data storytelling
- Surveys and graphs
- Interviews and focus groups discussions
- Infographics and photographs
Correct

Incorrect
Question 6 of 10

6. Question
Data Storytelling is:
- A methodology for communicating information, tailored to a specific audience, with a compelling narrative
- An often used data collection tool
- A competence dimension of some Data Literacy frameworks.
- A type of data.
Correct

Incorrect
Question 7 of 10

7. Question
The three data analysis fundamental aspects are:
- Observation, data storytelling and key questions
- Confounding variables, observation and correlation
- Causation, data storytelling and correlation
- None of the above
Correct

Incorrect
Question 8 of 10

8. Question
What is one of the key rules which should be followed when creating data sets?
- Law of large numbers
- Observation Method
- DigiComp 2.0 Framework
- Digital storytelling approach
Correct

Incorrect
Question 9 of 10

9. Question
Big data is:
- A field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex;
- A data concept which is no longer relevant
- A concept which is not related with the fact that the digital world produces more data
- Small sets of data
Correct

Incorrect
Question 10 of 10

10. Question
A good data story leverages three major components:
- Sound, text and image
- Data, narrative, and visuals
- Narrative, text and sound
- Data; visuals and text
Correct

Incorrect

Login

Accessing this course requires a login. Please enter your credentials below!

Username or Email Address

Password

Remember Me

Lost Your Password?

Register

Don't have an account? Register one!

Register an Account

Username

Email

Password:
Confirm Password:

Registration confirmation will be emailed to you.