#I'm not sure how an explanation is wrong
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solution just says "expected value $\neq$ probability thus is false"
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This might be a little above your pay grade but the reason its confusing in this instance is because of how closely related probability of success and expected values are in a binomial distribution (as it is here). If probability for egg breaking is p and you have n eggs then the expected number of egg breaks happens to be np.
The expected number of broken eggs in a carton of 6 eggs is 0.12 that means the probability of getting a broken egg is 0.02. As it so happens the probability of getting exactly one broken egg in a carton of 6 is 6C1(0.02)^1(0.98)^5 roughly 0.10 or 10% ish...
Its better if you can more clearly commit to intuition that expected number and probability very different but related concepts. What do you understand of it right now explain it in your own words
Sorry connection dropped. 12% of 1 egg broken per pack of 6 eggs over a high # of packages, ie 200.
Well, the given thing is E(number of broken eggs per carton), not P(carton contains a broken egg).
In fact, we can calculate it.
Suppose X ~ Bin(n = 6, p) is the number of broken eggs per carton. Then:
E(X) = np
So, p = E(X)/n. Thus, the probability that a carton contains a broken egg is:
P(X > 0) = 1 - (1 - p)^n = 1 - (1 - E(X)/n)^n = 1 - (1 - 0.12/6)^6 ≈ 0.11
So since the probability is < than the expected # of eggs then there's like 1% chance of getting a 2nd egg broken?
No, that doesn't mean anything.
Those things aren't connected.
Expected value and prooability are fundamentally different. They don't even have the same unit in general.
So to make it as simple as possible , expected value is like 3 eggs broken 2% of the time and probability is you'll have about 1 egg broken per 8 packages?
Not sure what you mean.
If X is the number of broken eggs in a pack, then E(X) is the average number of broken eggs in a pack and P(X > 0) is the probability of at least one broken egg in a package.
In general E(X) and P(X > 0) are not connected.
@full willow has given 1 rep to @hollow umbra
You're welcome!
I recommend recalling some formulas about E(X) and Var(X) in general.
And you can do some exercises on binomial distribution if you want.
Thanks but the mathematics prerequisite for https://www-teluq-ca.translate.goog/site/etudes/offre/prog/programme-court-en-science-des-donnees/?_x_tr_sl=fr&_x_tr_tl=en&_x_tr_hl=en-US doesn't touch statistics so I'm doing the minimum for precalculus right now.
Formation à distance | Se familiariser avec les applications de la science des données par 1) le recueil, le nettoyage, le traitement, le stockage et l'analyse de mégadonnées; 2) l'analyse statistique de données et l'usage de modèles de simulation appliqués à des donn&eacu...
This is probability theory, not statistics.
You will get to statistics later, maybe next semester.
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