So this is an analogy for a real world example but for simplicity. So if I were to flip a normal coin ten times I would expect heads 50% of the time or 5 head results. I could then compare this to the actual results after flipping.
Now imagine I have 10 different coins, the coins have varying odds of getting a head, it might only be 40% it might be higher at 60%. I would know the odds of each coin before any flips.
How would I calculate the equivalent 50% of heads expected this time when the odds are different each flip. The coin flips do not affect each others.
For arguments sake lets have the odds as 0.5, 0.2, 0.25, 0.3, 0.4, 0.35, 0.6, 0.7, 0.7, 0.8