Fair die tossing problems

  • Thread starter lhuyvn
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In summary, the conversation discusses the problem of calculating the probability of getting a six on 70 or more tosses out of 360 tosses of a fair die. The suggested approach is to use the normal approximation to the binomial distribution, taking into account the expected number of sixes and the standard deviation. The conversation also mentions the use of a series and the binomial distribution approach, with some corrections needed to obtain an accurate result. Ultimately, the conversation ends with a modification to the original equation being proposed.
  • #1
lhuyvn
11
0
Hi All,

With the given problem below, any suggestion?

A fair die is tossed 360 times. The probability that a six comes up on 70 or more of the tosses is

A. greater than 0.50
B.between 0.16 and 0.50
C.between 0.02 and 0.16
D.between 0.01 and 0.02
E. less than 0.01
 
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  • #2
With 360 tosses it probably best to use the normal approximation to the binomial distribution. The probability of a 6 on one roll is 1/6 so the expected number of 6s in 360 rolls is (1/6)(360)= 60. The standard deviation is sqrt((1/6)(5/6)(360= sqrt(50)= 5sqrt(2). Since the number of 6s must be an integer while the normal variable is continuous, use the "half-integer" correction: instead of "more than 70" use "more than 69.5". The standard variable would be (69.5- 60)/(5sqrt(2)). Use a table of the standard normal distribution to find the probability that z is larger than that.
 
  • #3
Surely you can use the series:

[tex]\frac{1}{6^{360}}\sum^{290}_{n=0} 5^n = \frac{1-5^{291}}{6^{360}(1-5)}[/tex]
 
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  • #4
my answer seems ridculously low though and it doesn't equal unity where it should :confused:

edited to add I see the mistake now I've assumed a specific order so the series doesn't work.
 
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  • #5
Well, you could take the binomial distribution approach. If you take the sum of the first 290 terms of:
[tex](\frac{1}{6} + \frac{1}{6})^{360})[/tex]
Then you get an exact answer.
 
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  • #6
jcsd said:
Surely you can use the series:

[tex]\frac{1}{6^{360}}\sum^{290}_{n=0} 5^n = \frac{1-5^{291}}{6^{360}(1-5)}[/tex]

I think what you mean is :

[tex]1- \frac {1} {6^{360}}\sum^{70}_{n=0} 5^{360-n}[/tex]

Edited to add : this makes it look like a near certainty (~ 1 - 10^-29), something's wrong !
 
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  • #7
Gokul43201 said:
I think what you mean is :

[tex]1- \frac {1} {6^{360}}\sum^{70}_{n=0} 5^{360-n}[/tex]

Edited to add : this makes it look like a near certainty (~ 1 - 10^-29), something's wrong !

I'm pretty sure the original equation was sound, but it needs the following modification to hold true:

[tex]\frac{1}{6^{360}}\sum^{290}_{n=0} ^{360}P_{n}5^n [/tex]
 
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1. What is a fair die tossing problem?

A fair die tossing problem is a mathematical problem that involves the probability of obtaining certain outcomes when tossing a fair die. A fair die is one that is equally likely to land on any of its sides when tossed.

2. How many possible outcomes are there when tossing a fair die?

There are six possible outcomes when tossing a fair die: 1, 2, 3, 4, 5, or 6. Each outcome has an equal probability of occurring, which is 1/6 or approximately 16.67%.

3. What is the probability of rolling a specific number on a fair die?

The probability of rolling a specific number on a fair die is 1/6 or approximately 16.67%. This is because there are six possible outcomes and each outcome has an equal probability of occurring.

4. What is the probability of rolling a certain sum on two fair dice?

The probability of rolling a certain sum on two fair dice depends on the sum being sought. For example, the probability of rolling a sum of 7 is 1/6 or approximately 16.67%, while the probability of rolling a sum of 2 is 1/36 or approximately 2.78%. The probabilities of different sums can be calculated using the appropriate mathematical formulas.

5. How can fair die tossing problems be applied in real life?

Fair die tossing problems can be applied in various real-life situations, such as in gambling, statistics, and decision-making. For example, casinos use fair die tossing problems to determine the odds of winning in different games. In statistics, fair die tossing problems can be used to model and analyze random events. In decision-making, they can be used to help make informed choices based on probabilities.

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