Calculating Probability for Array of Balls

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The discussion revolves around calculating the probability of having three white balls at the beginning of an array containing four white and six red balls. The correct approach involves using permutations with repetition to determine the total possible arrangements of the balls. The calculation shows that there are 28 favorable arrangements where the first three balls are white, leading to a probability of 28 out of 210 total arrangements. Additionally, the conversation touches on the use of conditional probability to analyze the situation further. Ultimately, the focus is on understanding the correct mathematical methods to calculate these probabilities accurately.
etf
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Hi!
Here is my task:
There are 4 white and 6 red balls in array. Find probability that there are three white balls in beginning of array.
How to calculate m?
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Where in the world did you get 70? There are total of 10 balls, 4 white and 6 red. How many different orders are there?

If we require that there be exactly three white balls at the beginning (so the fourth ball must be red), then the last 6 balls are 1 white and 5 red. How many different orders are there?
 
Since there are 4 white and 6 red balls I should use formula for permutations with repetition to calculate all possible orders?
Orders of interest are where first three balls are white and other 7 balls (6 red and 1 white) could be in any order so m would be $$\binom{4}{3} \frac{7!}{6!1!}= 28$$ and $$P(A) = \frac{28}{210}$$?
 
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etf said:
Since there are 4 white and 6 red balls I should use formula for permutations with repetition to calculate all possible orders?
Orders of interest are where first three balls are white and other 7 balls (6 red and 1 white) could be in any order so m would be $$\binom{4}{3} \frac{7!}{6!1!}= 28$$ and $$P(A) = \frac{28}{210}$$?

You need to decide whether you want to use permutations or combinations. I think permutations are a more natural description of the actual, physical situation, and also would probably be what you would prefer to use if you were writing a Monte-Carlo simulation of the experiment for running on a computer. So: number the balls from 1--10; the first 4 are white and the remaining 6 are red. The sample space consists of all the permutations of the numbers (1,2,...,10), and we tacitly assume all are equally likely.

How many permutations are there altogether? How many permutations have numbers from 1--4 in the first three places? So, assuming we don't care what is in the 4th place, what would be the resulting probability? Next, if we assume we also want a non-white in position 4, how many permutations would there be now? What is the corresponding probability?

Another way to do the problem would be via conditional probability arguments. If the events E1, E2, E3 correspond to having a number from 1--4 in positions 1,2 and 3, respectively, then
P(E_1 \&amp; E_2 \&amp; E_3) = P(E_1) P(E_2 \&amp; E_3 | E_1),\\<br /> P(E_2 \&amp; E_3 | E_1) = P(E_3 | E_1 \&amp; E_2) P(E_2|E_1)
What is ##P(E_1)?## What is ##P(E_2 | E_1),## etc.?
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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