Discrete Distribution Challenge

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About this activity

Quiz on discrete distributions and probabilities

Created by

Mercedes Matangcas

Philippines

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1	Plaza , J November 11, 2025	% 100	00:21
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Discrete Distribution ChallengeOnline version Quiz on discrete distributions and probabilities by Mercedes Matangcas 1 The probability mass function p(x) = P(X = x) gives the probability for each possible value. Yes No 2 Variance is always equal to the square of the mean. Yes No 3 Probabilities in a probability mass function can be negative. Yes No 4 P(X ≤ x) always equals P(X < x) for all x. Yes No 5 The set of possible values must be a consecutive integer interval. Yes No 6 The distribution illustrates the probability of each possible outcome of X. Yes No 7 The expected value of X is E[X] = Σ x·p(x) over all values. Yes No 8 A value with P(X = x) = 0 is included in the distribution’s support. Yes No 9 The probability of a given value is non-negative and can be zero for some values. Yes No 10 A discrete random variable takes countable values with associated probabilities summing to 1. Yes No

Discrete Distribution ChallengeOnline version

Quiz on discrete distributions and probabilities

by Mercedes Matangcas

The probability mass function p(x) = P(X = x) gives the probability for each possible value.

Yes

Variance is always equal to the square of the mean.

Yes

Probabilities in a probability mass function can be negative.

Yes

P(X ≤ x) always equals P(X < x) for all x.

Yes

The set of possible values must be a consecutive integer interval.

Yes

The distribution illustrates the probability of each possible outcome of X.

Yes

The expected value of X is E[X] = Σ x·p(x) over all values.

Yes

A value with P(X = x) = 0 is included in the distribution’s support.

Yes

The probability of a given value is non-negative and can be zero for some values.

Yes

A discrete random variable takes countable values with associated probabilities summing to 1.

Yes

You can integrate the game into an LMS compatible with LTI 1.1 or LTI 1.3 such as Canvas, Moodle, or Blackboard. This way, the scores will be automatically saved into the platform’s gradebook.

Discrete Distribution Challenge

Yes or No

About this activity

Created by

Download the paper version to play

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Yes or No

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Yes or No

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Yes or No

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Yes or No

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Yes or No

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Discrete Distribution ChallengeOnline version

by Mercedes Matangcas

The probability mass function p(x) = P(X = x) gives the probability for each possible value.

Variance is always equal to the square of the mean.

Probabilities in a probability mass function can be negative.

P(X ≤ x) always equals P(X < x) for all x.

The set of possible values must be a consecutive integer interval.

The distribution illustrates the probability of each possible outcome of X.

The expected value of X is E[X] = Σ x·p(x) over all values.

A value with P(X = x) = 0 is included in the distribution’s support.

The probability of a given value is non-negative and can be zero for some values.

A discrete random variable takes countable values with associated probabilities summing to 1.

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