// Numbas version: finer_feedback_settings {"name": "Which of these statements are true of PGFs", "extensions": [], "custom_part_types": [], "resources": [], "navigation": {"allowregen": true, "showfrontpage": false, "preventleave": false, "typeendtoleave": false}, "question_groups": [{"pickingStrategy": "all-ordered", "questions": [{"name": "Which of these statements are true of PGFs", "tags": [], "metadata": {"description": "", "licence": "None specified"}, "statement": "
Which of these statements are true of PGFs?
", "advice": "We can define a PGF for a continuous random variable is False as: P(X = x) = 0 for continuous random variables, so a PGF cannot be defined.
\nTwo different probability mass functions can lead to the same PGF if False as: there is a 1-1 correspondence between a PGF and its probability mass function.
\nWhich of these statements are true of PGFs?
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