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Discrete uniform distribution 

Khan Academy
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Working through more examples of discrete probability distribution (probability mass functions)

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9 дек 2012

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Комментарии : 30   
@Cheema0113
@Cheema0113 10 лет назад
u just made it special. I wasn`t going to go looking for it had I not seen your comment on the first page.
@Ayplus
@Ayplus 11 лет назад
Right before my exam :)
@leb5550
@leb5550 3 года назад
xD, Right before my exams aswell lol
@tasneem659
@tasneem659 2 года назад
+1
@zannino7889
@zannino7889 2 года назад
Same here lol
@kilroymyboy
@kilroymyboy 11 лет назад
Keep up this discrete math!!! ill be taking it next semester, if i pass :(
@ziiiiiiiiiii7325
@ziiiiiiiiiii7325 2 года назад
did you pass?
@ibeatchildren8771
@ibeatchildren8771 10 месяцев назад
Did you pass?
@GGGJJJay
@GGGJJJay 9 лет назад
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
@enigma194 8 лет назад
+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
@deepakha9759 Год назад
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.
@Alchemist10241
@Alchemist10241 3 года назад
I think with this clear and simplistic explanation, kindergarten kids can get it too 🤣
@Don27170
@Don27170 11 лет назад
i wish you were my math teacher :(
@jonskennerton9615
@jonskennerton9615 4 года назад
Thank you
@AhmedMunye
@AhmedMunye 11 лет назад
Right after my exam lol.
@ashfaktime
@ashfaktime 6 лет назад
lol
@alenjose3903
@alenjose3903 3 года назад
LOL
@weslaycock466
@weslaycock466 3 года назад
Easily digested, delicious
@TheDibyendusarkar
@TheDibyendusarkar 2 месяца назад
It's a discrete random variable. Thus, it is not Probability Distribution Function rather, Probability Mass Function.
@pilantra2000
@pilantra2000 11 лет назад
Second that MrYoshi
@tejasgowda.r3972
@tejasgowda.r3972 7 лет назад
good
@hibaq4610
@hibaq4610 11 лет назад
I HATE PROBABILITY.
@GenAITutorials
@GenAITutorials 5 лет назад
The probability would have been 11/192.
@idk-db6jt
@idk-db6jt 5 лет назад
@Data Crunching liking the video is different to probability therefore bringing in unknown variables
@dreamcars.clubyt
@dreamcars.clubyt 8 месяцев назад
Me too
@user-le2cg7ey9r
@user-le2cg7ey9r 17 дней назад
Second that
@orbsandtea
@orbsandtea 11 лет назад
Hah ! Aaahahaha ! Clever.
@mikecrohard4993
@mikecrohard4993 4 года назад
Histogram for PMF (with single values)? Shame o.u.
@MrYoshi741
@MrYoshi741 11 лет назад
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.
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