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Data Science Analysis Principles Quiz

Total questions: 1

Worksheet time: 20mins

Name
Class
Date
1-10.
1.

Which of the following is an example of a traditional software mentioned in the intersection of Technology/Automation and Business?

a)

Excel

b)

Python

c)

Tableau

d)

R

2.

How does the diagram suggest that machine learning differs from traditional statistical methods?

a)

Machine learning involves automation and advanced algorithms, while traditional statistics focus on basic calculations like sum and mean

b)

Machine learning only uses Excel

c)

Traditional statistics require no data

d)

Machine learning ignores business context

3.

Which of the following is NOT mentioned as a traditional tool or method in the image?

a)

Excel

b)

SAS

c)

Traditional statistics (sum, average)

d)

Deep learning neural networks

4.

What is a possible consequence of drawing conclusions from models that do not consider the business context?

a)

Conclusions that do not make sense for the business.

b)

Increased customer satisfaction.

c)

Guaranteed sales growth.

d)

Accurate market predictions.

5.

What does "Soma, media, estatística tradicional" refer to in the context of data analysis?

a)

Traditional statistical methods like sum and average

b)

Advanced neural networks

c)

Cloud computing platforms

d)

Data encryption techniques

6.

According to the Venn diagram, which concept is found at the intersection of Business and Mathematics/Statistics?

a)

Traditional statistics (sum, mean, etc)

b)

Data Science

c)

Machine Learning

d)

Traditional software (Excel, SAS, etc)

7.

Which three main areas are represented in the Venn diagram related to Data Science?

a)

Tecnologia/Automações, Negócios, Matemática/Estatística

b)

Física, Química, Biologia

c)

Engenharia, Medicina, Direito

d)

Literatura, História, Geografia

8.

If a business wants to use "soma, media, estatística tradicional" for analysis, which two areas are they combining according to the diagram?

a)

Negócios and Matemática/Estatística

b)

Tecnologia/Automações and Negócios

c)

Tecnologia/Automações and Matemática/Estatística

d)

Negócios and Literatura

9.

What does the acronym CRISP-DM stand for in the context of data mining?

a)

Cross Industry Standard Process for Data Mining

b)

Computer Industry Standard Process for Data Mining

c)

Cross Industry Standard Procedure for Data Management

d)

Computerized Industry Standard Process for Data Modeling

10.

In the CRISP-DM process, what is the main focus of the "Preparação / Visualização (comunicação dos resultados)" phase?

a)

Communicating results through preparation and visualization

b)

Collecting raw data from various sources

c)

Validating the accuracy of the data model

d)

Understanding the business objectives