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I was watching an online course on the topic Bayesian Networks and I have a question regarding the calculation of marginal probabilities. Hier is the given network: enter image description here

and the corresponding course video can be found here: https://de.coursera.org/lecture/probabilistic-graphical-models/reasoning-patterns-KMjHs

In the slides the tutor gets P(L=1) = 0,5

Could someone explain to me the steps of applying the sum rule in order to get to that answer? Thank you in advance!

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