Let fx.x(z, y) be the joint probability function for the random vector (X,Y) (discrete or continuous). If fx (1) > 0, then there must exist a y € R, such that fx.x(1, y) > 0. True False

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 29E
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2. Let fx.y(z, y) be the joint probability function for the random vector (X,Y) (discrete or continuous). If fx (1) > 0, then there must exist a y € R, such
that fx.y (1, y) > 0.
True
False
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Transcribed Image Text:question 2 2. Let fx.y(z, y) be the joint probability function for the random vector (X,Y) (discrete or continuous). If fx (1) > 0, then there must exist a y € R, such that fx.y (1, y) > 0. True False Previous Save For Later Next
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