Working through more examples of discrete probability distribution (probability mass functions)
Жүктеу.....
Пікірлер: 29
@Cheema011310 жыл бұрын
u just made it special. I wasn`t going to go looking for it had I not seen your comment on the first page.
@Ayplus11 жыл бұрын
Right before my exam :)
@leb5550
3 жыл бұрын
xD, Right before my exams aswell lol
@tasneem659
2 жыл бұрын
+1
@zannino7889
2 жыл бұрын
Same here lol
@GGGJJJay8 жыл бұрын
Can someone help explain this to me. Perhaps I'm just overthinking\looking things, but on the wikipedia page it also gives the die as an example. However it gives two dice as an example of NON uniform distribution. How is this so? To quote the page "If two dice are thrown and their values added, the resulting distribution is no longer uniform since not all sums have equal probability."
@enigma194
8 жыл бұрын
+GGGJJJay sum showing on the die, show two ones means the sum is 2, say you get 2 and 3 sum is 5 but getting 3 and 2 or 4 and 1 or 1 and 4 also totals 5, so the probability of sum 2 = 1/36 is not equal to sum 5 = 4/36
@deepakha9759
Жыл бұрын
Hope the below explanation clears things up even though I am 6 years late! If two dice are thrown, the possible sum of their values are 2, 3, 3, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 9, 9, 9, 9, 10, 10, 10, 11, 11, and 12. A total of 36 possible values. Here, we can easily calculate that the values have different probabilities. For example, P(2) = 1/36 P(3) = 2/36 = 1/18 P(7) = 6/36 = 1/6 P(10) = 3/36 = 1/12 Therefore, the above example doesn't qualify for Discrete Uniform Distribution.
@Alchemist102412 жыл бұрын
I think with this clear and simplistic explanation, kindergarten kids can get it too 🤣
@kilroymyboy11 жыл бұрын
Keep up this discrete math!!! ill be taking it next semester, if i pass :(
@ziiiiiiiiiii7325
2 жыл бұрын
did you pass?
@ibeatchildren8771
9 ай бұрын
Did you pass?
@jonskennerton96154 жыл бұрын
Thank you
@Don2717011 жыл бұрын
i wish you were my math teacher :(
@AhmedMunye11 жыл бұрын
Right after my exam lol.
@ashfaktime
6 жыл бұрын
lol
@alenjose3903
3 жыл бұрын
LOL
@weslaycock4663 жыл бұрын
Easily digested, delicious
@pilantra200011 жыл бұрын
Second that MrYoshi
@TheDibyendusarkarАй бұрын
It's a discrete random variable. Thus, it is not Probability Distribution Function rather, Probability Mass Function.
@tejasgowda.r39727 жыл бұрын
good
@orbsandtea11 жыл бұрын
Hah ! Aaahahaha ! Clever.
@hibaq461011 жыл бұрын
I HATE PROBABILITY.
@MianAShah
5 жыл бұрын
The probability would have been 11/192.
@idk-db6jt
5 жыл бұрын
@Data Crunching liking the video is different to probability therefore bringing in unknown variables
@dreamcars.clubyt
7 ай бұрын
Me too
@mikecrohard49934 жыл бұрын
Histogram for PMF (with single values)? Shame o.u.
@MrYoshi74111 жыл бұрын
Your not special at all for that. It is considered spam and causes more spam. Being first makes you nothing special, so do something real to make yourself special, because nobody is going to bother looking at this comment.
Пікірлер: 29
u just made it special. I wasn`t going to go looking for it had I not seen your comment on the first page.
Right before my exam :)
@leb5550
3 жыл бұрын
xD, Right before my exams aswell lol
@tasneem659
2 жыл бұрын
+1
@zannino7889
2 жыл бұрын
Same here lol
Can someone help explain this to me. Perhaps I'm just overthinking\looking things, but on the wikipedia page it also gives the die as an example. However it gives two dice as an example of NON uniform distribution. How is this so? To quote the page "If two dice are thrown and their values added, the resulting distribution is no longer uniform since not all sums have equal probability."
@enigma194
8 жыл бұрын
+GGGJJJay sum showing on the die, show two ones means the sum is 2, say you get 2 and 3 sum is 5 but getting 3 and 2 or 4 and 1 or 1 and 4 also totals 5, so the probability of sum 2 = 1/36 is not equal to sum 5 = 4/36
@deepakha9759
Жыл бұрын
Hope the below explanation clears things up even though I am 6 years late! If two dice are thrown, the possible sum of their values are 2, 3, 3, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 9, 9, 9, 9, 10, 10, 10, 11, 11, and 12. A total of 36 possible values. Here, we can easily calculate that the values have different probabilities. For example, P(2) = 1/36 P(3) = 2/36 = 1/18 P(7) = 6/36 = 1/6 P(10) = 3/36 = 1/12 Therefore, the above example doesn't qualify for Discrete Uniform Distribution.
I think with this clear and simplistic explanation, kindergarten kids can get it too 🤣
Keep up this discrete math!!! ill be taking it next semester, if i pass :(
@ziiiiiiiiiii7325
2 жыл бұрын
did you pass?
@ibeatchildren8771
9 ай бұрын
Did you pass?
Thank you
i wish you were my math teacher :(
Right after my exam lol.
@ashfaktime
6 жыл бұрын
lol
@alenjose3903
3 жыл бұрын
LOL
Easily digested, delicious
Second that MrYoshi
It's a discrete random variable. Thus, it is not Probability Distribution Function rather, Probability Mass Function.
good
Hah ! Aaahahaha ! Clever.
I HATE PROBABILITY.
@MianAShah
5 жыл бұрын
The probability would have been 11/192.
@idk-db6jt
5 жыл бұрын
@Data Crunching liking the video is different to probability therefore bringing in unknown variables
@dreamcars.clubyt
7 ай бұрын
Me too
Histogram for PMF (with single values)? Shame o.u.
Your not special at all for that. It is considered spam and causes more spam. Being first makes you nothing special, so do something real to make yourself special, because nobody is going to bother looking at this comment.