Exploring Minimum Spanning Trees in Algorithms

Exploring Minimum Spanning Trees in Algorithms

Assessment

Interactive Video

Computers

6th - 10th Grade

Medium

Created by

Jackson Turner

Used 2+ times

FREE Resource

8 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a minimum spanning tree?

A tree that has no edges.

A tree that spans only a subset of vertices.

A tree that spans all vertices with the minimum possible weight.

A tree that spans all vertices with the maximum possible weight.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is required for a graph to have a minimum spanning tree?

All edges must have a certain value assigned to them.

The graph must have no cycles.

All edges must have the same value.

The graph must be a complete graph.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you calculate the weight of a spanning tree?

By multiplying the values of all edges.

By summing the values of all edges.

By summing the values of all vertices.

By counting the number of edges.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If a spanning tree has edges with values 2, 4, 3, 2, 3, and 6, what is its weight?

22

21

20

18

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the weight of a spanning tree with edges valued at 3, 4, 3, 2, 3, and 6?

22

20

18

21

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What defines a minimum spanning tree?

It has the maximum possible sum of edge values.

It has no edges.

It has the smallest possible sum of edge values.

It has the same sum of edge values as any other spanning tree.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Can a graph have more than one minimum spanning tree?

Yes, but they must have the same weight.

No, it must have at least three.

Yes, but they must have different weights.

No, it can only have one.

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key property of every minimum spanning tree?

The sum of the edges is as high as possible.

The sum of the edges is as low as possible.

It has the same number of edges as the original graph.

It includes all possible edges.

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