Discrete Distribution Challenge

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Quiz on discrete distributions and probabilities

Créé par

Mercedes Matangcas

Philippines

Téléchargez la version pour jouer sur papier

Top 10 résultats

#	Jeux	Précision	temps
1	Plaza , J 11 Novembre 2025	% 100	00:21
2	Elino, Liporada, Andan 11 Novembre 2025	% 100	00:25
3	TOAA 11 Novembre 2025	% 100	00:25
4	Gallardo A. 11 Novembre 2025	% 100	00:28
5	Guarte, J. 11 Novembre 2025	% 100	00:32
6	Gayas, Neil Franzis 11 Novembre 2025	% 100	00:33
7	Orellanida A, K. 11 Novembre 2025	% 100	00:34
8	Lanoy, Y 11 Novembre 2025	% 100	00:37
9	Puzon. P 11 Novembre 2025	% 100	00:39
10	Rimando Francis 11 Novembre 2025	% 100	00:42

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

Discrete Distribution ChallengeVersion en ligne

Quiz on discrete distributions and probabilities

par Mercedes Matangcas

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

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

Yes

Probabilities in a probability mass function can be negative.

Yes

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

Yes

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

Yes

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

Yes

Variance is always equal to the square of the mean.

Yes

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

Yes

Vous pouvez intégrer le jeu dans un LMS compatible avec LTI 1.1 ou LTI 1.3 comme Canvas, Moodle ou Blackboard. Les scores seront ainsi automatiquement enregistrés dans le carnet de notes de la plateforme.

Discrete Distribution Challenge

Oui ou Non

À propos de cette activité

Créé par

Téléchargez la version pour jouer sur papier

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Discrete Distribution ChallengeVersion en ligne

par Mercedes Matangcas

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

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

Probabilities in a probability mass function can be negative.

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

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

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

Variance is always equal to the square of the mean.

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

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