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All Computational Thinking

Authored by Kholifa Artikatama

Computers

10th Grade

Used 6+ times

All Computational Thinking
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40 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary objective of identifying data patterns?

To encrypt sensitive information

To store large datasets efficiently

To generate random data sequences

To make accurate predictions

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which characteristic of the school bus schedule allowed for the prediction of its future timings and routes?

Its random changes in route

Its consistent daily routine

Its unpredictable variations

Its dependence on weather conditions

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is the collection of data over a continuous period crucial for identifying patterns?

To ensure data is stored in a specific format

To increase the overall data volume

To observe and confirm regularity and repetition

To complicate the data analysis process

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the context of data analysis, how is a 'pattern' best described?

A phenomenon that occurs in a regular and repeated manner

An anomaly within a dataset

A random series of data points

A unique, non-repeating event

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If a consistent data pattern is identified, what can generally be inferred about its future occurrences?

They will always deviate significantly from the pattern.

They will likely continue to follow the established pattern.

They become entirely unpredictable.

They will cease to occur.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What constitutes a 'prediction' when working with data?

A random guess without any supporting evidence

An assumption based on intuition rather than facts

A definitive statement about a future event

An informed estimation of a future outcome derived from collected data

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the foundational step required before making any data-driven predictions?

Collecting and analyzing relevant data to identify patterns

Ignoring historical information

Formulating a random guess

Manipulating data to fit a desired outcome

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