OCR H446 - 2.3 Algorithms - Algorithms and Programming  02

OCR H446 - 2.3 Algorithms - Algorithms and Programming 02

12th Grade

85 Qs

quiz-placeholder

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OCR H446 - 2.3 Algorithms - Algorithms and Programming  02

OCR H446 - 2.3 Algorithms - Algorithms and Programming 02

Assessment

Quiz

Computers

12th Grade

Medium

Created by

Jason Davis

Used 40+ times

FREE Resource

85 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following graphs shows Constant Big-O notation?

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2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following graphs shows Linear Big-O notation?

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3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following graphs shows Polynomial Big-O notation?

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4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following graphs shows Exponential Big-O notation?

Media Image
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5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following graphs shows Logarithmic Big-O notation?

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Media Image

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes a Constant Big-O notation?

This means that the Size of the data set does not impact the Time complexity remains the same.

This means that Size of the data set increases so does the Time Complexity at the same rate.

This means that as the Size of the data set increases the algorithm takes much more time to run.

This means as algorithm takes increasingly more Time to run as the data set increases.

This means the data set takes a decreasing amount of Time more to complete as the data set increases,

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes a Linear Big-O notation?

This means that the Size of the data set does not impact the Time complexity remains the same.

This means that Size of the data set increases so does the Time Complexity at the same rate.

This means that as the Size of the data set increases the algorithm takes much more time to run.

This means as algorithm takes increasingly more Time to run as the data set increases.

This means the data set takes a decreasing amount of Time more to complete as the data set increases,

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