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@AlexandervonHumboldt2
So let's look at the definition of Binomial setting
A binomial setting is one which satisfies the following conditions: 1) each observation falls into one of two categories called a success or failure 2) there is a fixed number of observations 3) the observations are all independent 4) the probability of success (p) for each observation is the same - equally likely
So let's go through and look at each one. 1) each observation falls into one of two categories called a success or failure Is this true or false?
false
Hmm, why do you think that?
oh i guess it is true because there is a 70% chance of making the basket and 30% not making it
so each time he tries to do a free throw there is a chance he succeeds and a chance he fails
Yes exactly!
Okay, so 1) is true, let's go on to two 2) there is a fixed number of observations
this is true, there are 10
Yes exactly.
3) the observations are all independent
i think this is true, but I am unsure why
You're right. Every single shot has a 70% chance of success. If he made the last shot, it doesn't improve his chances at this shot, because each shot is completely independent
Kinda like if I flip a coin and it lands on heads. The chance it lands on heads again next flip is still 50%, because previous results have no influence on this chance of success or failure
Does that make sense, or should I break it down further?
Alright and 4) the probability of success (p) for each observation is the same - equally likely
true? there is a 70% probability
Yep, you got it. So since all 4 requirements are satisfied, it is a binomial setting.
90% of that was you c: Any more problems you think you may need help with?
Alright then, have fun with it
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