Discrete random variables

In summary, the probability of a student randomly guessing exactly 2 of the 4 answer questions correctly and at least 3 of the 5 answer questions correctly is 0.2552. However, there may be some confusion with the wording of the question as the given answer corresponds to getting exactly 2 questions correct from the first set of 4 options and at most 1 question correct from the second set of 5 options.
  • #1
skhan
2
0
A multiple choice test contains 12 questions, 8 of which have 4 answers each to choose from and 4 of which have 5 answers to choose from. If a student randomly guesses all of his answers, what is the probability that he will get exactly 2 of the 4 answer questions correct and at least 3 of the 5 answer questions correct?
ANS: 0.2552

Heres what I did:

Out of the 8-four answer questions, the student gets 2 of them = (8C2)
Out of the 4-five answer questions, the student gets 3 of them = (4C3)

Therefore:

[8C2(.25)^2(.75)^6][ 4C3(.2)^3(.8)^1+ 4C4(.2)^4(.8)^0].

So:

The probability of getting exactly two of the eight four-option questions is 0.31146240234375.

The probability of getting at least three of the four five-option questions is 0.0272.

Those two are clearly independent. The product of those probabilities is 0.00847177734375.

BUT...the answer is suppose to be 0.2552 apparently.

Any input?
 
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  • #2
Your method for this question seems right. All that I've found is that maybe the question was not written correctly. The answer given corresponds exactly for the situation where the student guesses exactly two questions from the first set (4 options) and at most 1 from the second set (5 options). This would mean having 2 correct guesses from the first set but not more than 3 correct answers overall. Hope this helped
 
  • #3


Your calculation is correct, but there may be a small rounding error in the final answer. The exact probability is 0.2552083333333333, which rounds to 0.2552. So your answer is correct, it just may differ slightly due to rounding.
 

1. What is a discrete random variable?

A discrete random variable is a type of random variable that can only take on a finite or countably infinite number of possible values. These values are typically whole numbers and are determined by chance or probability.

2. How is a discrete random variable different from a continuous random variable?

A discrete random variable can only take on a finite or countably infinite number of possible values, while a continuous random variable can take on any value within a certain range. Additionally, a discrete random variable is usually associated with a probability mass function, while a continuous random variable is associated with a probability density function.

3. What is the expected value of a discrete random variable?

The expected value of a discrete random variable is the theoretical average of all possible values it can take on, weighted by their respective probabilities. It is calculated by multiplying each possible value by its corresponding probability and summing them together.

4. How is the standard deviation of a discrete random variable calculated?

The standard deviation of a discrete random variable is calculated by taking the square root of the variance. The variance is calculated by taking the sum of squared differences between each possible value and the expected value, multiplied by their respective probabilities.

5. What are some real-world examples of discrete random variables?

Some common examples of discrete random variables include the number of heads in a series of coin flips, the number of children in a family, and the number of defects in a batch of products. They can also be used to model things like customer arrivals in a store or the number of goals scored in a soccer game.

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