Math Problem Statement

sum equal to S, then: There are 2 six faced dice, one of them is Normal and the other is loaded in surf a way that the probability of getting a number is proportional to the number itself. The two dice are thrown together. If P(S) is the event of getting a Pick ONE option P(S≥11)=11/126 P(S≥11)=17/126 P(S≥11)=19/126 None of the above

Solution

We have two six-faced dice, one normal and the other loaded such that the probability of getting a number on the loaded die is proportional to the number itself. Let’s break down how to calculate the probability P(S11)P(S \geq 11), where SS is the sum of the numbers on the two dice when they are thrown together.

Step 1: Normal die probability

For the normal die, the probability of rolling any number between 1 and 6 is uniformly distributed, i.e., each outcome has a probability of: P(normal die=k)=16,k=1,2,3,4,5,6.P(\text{normal die} = k) = \frac{1}{6}, \quad k = 1, 2, 3, 4, 5, 6.

Step 2: Loaded die probability

For the loaded die, the probability of rolling a number is proportional to the number itself. Hence, the probabilities of getting 1, 2, 3, 4, 5, or 6 are proportional to 1, 2, 3, 4, 5, and 6, respectively. The sum of these weights is: 1+2+3+4+5+6=21.1 + 2 + 3 + 4 + 5 + 6 = 21. Thus, the probability of rolling a kk on the loaded die is: P(loaded die=k)=k21,k=1,2,3,4,5,6.P(\text{loaded die} = k) = \frac{k}{21}, \quad k = 1, 2, 3, 4, 5, 6.

Step 3: Find the probability of S11S \geq 11

Now we compute the probability of obtaining a sum S11S \geq 11, where S=x+yS = x + y and xx is the outcome of the normal die and yy is the outcome of the loaded die. The possible sums that are 11\geq 11 are 11 and 12.

Case 1: S=11S = 11

The pairs (x,y)(x, y) that sum to 11 are:

  • (5,6)(5, 6): Probability P(5,6)=16×621=121P(5, 6) = \frac{1}{6} \times \frac{6}{21} = \frac{1}{21},
  • (6,5)(6, 5): Probability P(6,5)=16×521=5126P(6, 5) = \frac{1}{6} \times \frac{5}{21} = \frac{5}{126}.

So, the total probability for S=11S = 11 is: P(S=11)=121+5126=6126+5126=11126.P(S = 11) = \frac{1}{21} + \frac{5}{126} = \frac{6}{126} + \frac{5}{126} = \frac{11}{126}.

Case 2: S=12S = 12

The only pair (x,y)(x, y) that sums to 12 is (6,6)(6, 6), with a probability: P(6,6)=16×621=121.P(6, 6) = \frac{1}{6} \times \frac{6}{21} = \frac{1}{21}.

Thus, the total probability for S11S \geq 11 is: P(S11)=P(S=11)+P(S=12)=11126+6126=17126.P(S \geq 11) = P(S = 11) + P(S = 12) = \frac{11}{126} + \frac{6}{126} = \frac{17}{126}.

Conclusion

The correct probability is: P(S11)=17126.P(S \geq 11) = \frac{17}{126}.

Thus, the correct answer is: P(S11)=17126.\boxed{P(S \geq 11) = \frac{17}{126}}.

Would you like further clarification or details on any part of this solution?

Here are 5 questions related to this problem:

  1. How do probabilities on a loaded die differ from a normal die?
  2. How would the probability change if both dice were loaded?
  3. What is the probability of obtaining S=7S = 7 with these two dice?
  4. How would the result change if the loaded die favored smaller numbers?
  5. Can the outcome probabilities be represented using a probability distribution function?

Tip: When dealing with a loaded die, remember that the probability of each face is not uniform but weighted according to the given distribution.

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Math Problem Analysis

Mathematical Concepts

Probability
Conditional Probability
Weighted Probability

Formulas

P(S ≥ 11) = P(S = 11) + P(S = 12)
P(S = 11) = P(normal die = 5) * P(loaded die = 6) + P(normal die = 6) * P(loaded die = 5)
P(S = 12) = P(normal die = 6) * P(loaded die = 6)

Theorems

Basic Probability
Law of Total Probability

Suitable Grade Level

Grades 11-12