Please help me to find the probability of this question.

In summary, the lecturer gives spot quizzes in randomly selected classes and asks questions from the material covered in the previous class. The probability of passing the quiz for a student who was present in the last class is 0.85, while for a student who was absent it is only 0.20. There are 30 students in the class today, 5 of whom were absent last class. To calculate the probability that more than 25 students will pass, we can use the binomial distribution with X representing the number of students who pass out of 25 present last class and Y representing the number of students who pass out of 5 absent last class. To calculate the probability that 3 students who missed class and 2 students who
  • #1
hpt001
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(Moderator's note: thread moved from "Set Theory, Logic, Probability, Statistics ")

"A lecturer gives spot quizzes in randomly selected classes. In those quizzes he asks questions from the material covered in the previous class. From experience it is known that a student has 0.85 chance of passing the quiz if the student was present in the last class. For a student who was absent last class, that chance is only 0.20. There are 30 students in the class today. Five of those students were absent in the last class. The lecturer has given a spot quiz today."

What is the probability that more than 25 students will pass?
 
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  • #2
Can you calculate the probability that of the 30 students, 3 that skipped class fail (the other two pass) and 2 that did attend also fail (the other 23 pass)?

Can you do the same, more generally, in the situation where n of the students who missed class and a of the students who attended will fail the test (so 5 - n and 25 - a pass)?
 
  • #3
This is the way I tried to solve this.
Let
X = The number of students that pass out of 25 students present last class.
Y = The number of students that pass out of 5 students absent last class.
T = Total number of students pass out of 30 students.
X~Bin(25,0.85) and Y~Bin(5,0.20)

PX(x) = 25Cx(0.85x)(0.1525-x ), x = 0,1,2,...25

PY(y) = 5Cy(0.20y)(0.805-y ), y = 0,1,2,3,4,5

The # of passes can be any of following
(Present Absent) Last class
25 and 1 or 2 or 3 or 4 or 5
24 and 2 or 3 or 4 or 5
23 and 3 or 4 or 5
22 and 4 or 5
21 and 5

Pr(T>25) = Pr[(X=25)[tex]\cap[/tex](Y=1)[tex]\cup[/tex](X=25)[tex]\cap[/tex](Y=2)[tex]\cup[/tex](X=25)[tex]\cap[/tex](Y=3)......[tex]\cup[/tex](X=25)[tex]\cap[/tex](Y=5)]

= Pr(X=25).Pr(Y=1)+Pr(X=25).Pr(Y=2)+......+Pr(X=22).Pr(Y=5)+Pr(X=21).Pr(Y=5)

But I'm not sure that whether this method is correct or not.
 

1. What is probability?

Probability is a measure of the likelihood that a certain event will occur. It is expressed as a number between 0 and 1, where 0 represents impossibility and 1 represents certainty.

2. How do you calculate probability?

The probability of an event is calculated by dividing the number of desired outcomes by the total number of possible outcomes. For example, if you want to find the probability of rolling a 4 on a six-sided die, you would divide the number of ways to roll a 4 (1) by the total number of outcomes (6), resulting in a probability of 1/6.

3. What is the difference between theoretical and experimental probability?

Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely. Experimental probability is based on actual data collected from conducting an experiment. It may differ from theoretical probability due to chance or other factors.

4. How can probability be used in real life?

Probability is used in many real-life situations, such as predicting the weather, determining the likelihood of a sports team winning a game, or making decisions based on risk assessment. It is also used in fields such as finance, medicine, and engineering to analyze and make informed decisions based on uncertain outcomes.

5. Can probability be greater than 1?

No, probability cannot be greater than 1. A probability of 1 represents certainty, meaning that the event is guaranteed to occur. Any number greater than 1 would imply that the event is more than certain, which is not possible.

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