Fairness in Random Selection Methods

Fairness in Random Selection Methods

Assessment

Interactive Video

Mathematics, Fun, Education

5th - 8th Grade

Hard

Created by

Emma Peterson

FREE Resource

The video tutorial discusses three methods a magician can use to fairly select a volunteer from a group of 15 kids at a birthday party. Method one involves distributing 100 pieces of paper, which is unfair as not all kids receive the same number of papers. Method two uses 75 pieces of paper, ensuring each child gets an equal chance. Method three involves counting windows, which is not a reliable random number generator due to uneven distribution.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main goal of the magician at the birthday party?

To choose a volunteer fairly

To distribute gifts

To perform a magic trick

To entertain the kids

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is Method 1 considered unfair?

The magician chooses the birthday boy

The kids are not in a circle

Not all kids receive the same number of papers

The papers are not numbered

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many pieces of paper does each child receive in Method 2?

Five

Four

Six

Seven

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What makes Method 2 fair?

Each child receives an equal number of papers

The papers are colorful

The magician starts with the birthday boy

The magician moves clockwise

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In Method 3, what is used to select the volunteer?

The number of kids in the circle

The number of chairs in the room

The number of doors in the house

The number of windows in the room

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is the number of windows not a good random number generator?

It is not visible

It is too small

It is too large

It is not evenly distributed

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main issue with using the number of windows as a selection method?

It is not random

It is not evenly distributed

It is too predictable

It is too complex

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