๐ฒ probability
Step-by-step solutions with LaTeX - clean, fast, and student-friendly.
Prob Factory Red
1. **Problem statement:** We have two factories, A and B, producing red and black widgets with given probabilities. We select one factory uniformly at random, then sample two widge
Poisson Distribution
1. **Problem Statement:**
We want to understand the Poisson distribution, which models the number of events occurring in a fixed interval of time or space when these events happen
Binomial Mgf
1. The problem is to find the moment generating function (MGF) of the binomial probability distribution.
2. The binomial distribution models the number of successes in $n$ independ
Probability English Hindi
1. **Problem Statement:** We are given that 30% of students offered English, 20% offered Hindi, and 10% offered both English and Hindi. We need to find the probability that a rando
Probability Multiples
1. **Problem Statement:** A number is selected at random from the first thirty natural numbers (1 to 30). We need to find the probability that the number is a multiple of either 3
Probability Spade Jack
1. **Problem statement:** A card is drawn at random from a standard deck of 52 cards. We want to find the probability that the card is neither a spade nor a Jack.
2. **Formula for
Probability Balls
1. **Problem statement:** A bag contains 4 red balls, 6 blue balls, and 8 pink balls. One ball is drawn at random and replaced with 3 pink balls. We want to find the probability th
Probability Multiples
1. **Problem Statement:** We have tickets numbered from 1 to 20. We want to find the probability that a randomly drawn ticket has a number that is a multiple of 3 or 5.
2. **Formul
Magazine Survey
1. **Problem Statement:** We have a survey about residents reading three magazines: Newsweek (N), Vogue (V), and Elle (E). Given percentages and counts, we need to find:
- 117: Num
Probability Even
1. **แแแแ แถ**: แแแแถแแแถแแ แฉ แแแแ
แปแแแแแแธ แก แแแ แฉแ แแแ
แถแแแแแแถแแ แค แแแแ
แแแแแ แ แพแแแแแแแแแถแแฝแแแแแแแแแพแแแถแแแแ แค แแแแแแ แแแแแแผแแถแแแแแ
แแแฝแแแแแแถแ
แแแฝแแแแ (แแบแ
แแแฝแแแแแ
แแแแถแแแแ แข)แ
2. **แแทแแธแแแแ
Probability Divisible 5
1. **แแแ
แแแแธแแแแแแแแแ แถ**: แแ
แแพแแแแแถแแแถแแปแ แกแ แ แแแแแนแ แแถแแแแแแแแแธ 1 แแแ 100แ แแแ
แถแแแแแแแแแถแแแฝแแแแแแนแแแแแ
แแแแแแ แแแแแแผแแถแแแแแแแแ
แปแแแพแแแแแถแแแแแ
แแแแถแ
แแแนแ 5แ
2. **แแผแแแแแแแแแพแแแแถแแ**: แ
Probability Sum
1. **แแแ
แแแแธแแแแแแแแแ แถ**: แแแแแแแแแถแแแกแปแแกแถแแแแธแแแแแถแแแแแแแแแแถแ แแแแผแแแแแแแผแแถแแแแแแแแผแแแแแ
แแแแพแแแแถแแแกแปแแกแถแแแแถแแแแธแแแแแพ แฅ แฌแแแแพ แจแ
2. **แแแแแแแแแแแแแ แแทแแแผแแแแแ**:
Probability Independence
1. **Stating the problem:** We are given two events A and B with probabilities P(A) and P(B), and the formula for the probability of both events occurring together: $$P(A \text{ an
Event Independence
1. **Stating the problem:** We are given probabilities related to two events $A$ and $B$ and asked to determine if they are independent.
2. **Recall the definition of independence:
Probability Union
1. **แแแ
แแแแธแแแแแแแแแ แถ**: แแแฑแแแแแแนแแแแทแแถแแแ A แแทแ B แแแแแถแแแแแผแแถแ P(A) = 0.55 แแทแ P(B) = 0.25แ แแแแนแแแแทแแถแแแแแถแแแแธแแแแแแทแแ
แปแแแแแแปแแแแแถ (mutually exclusive)แ แแแแผแแแแแแแผแแถแ P(A \cu
Probabilities Independent
1. **แแแ
แแแแธแแแแแแแแแ แถ**: แแแแถแแแแแนแแแแทแแถแแแ A แแทแ B แแทแแแถแแแแแแแแถ แแแ $P(A) = x$, $P(B) > y$, แแทแ $0 \leq x < y \leq 1$แ แแแแนแแแถ $P(A \cup B) = 0.56$ แแทแ $P(A \cap B) = 0.09$แ แแแ
Conditional Probability
1. **State the problem:** We have a set of outcomes with probabilities and two events:
- Event A: "the outcome is a divisor of 1"
Conditional Probability
1. **State the problem:** We have outcomes with probabilities and two events:
- Event A: outcome is a divisor of 1
Conditional Probability
1. **State the problem:** We have outcomes 1, 2, and 3 with probabilities 0.2, 0.6, and 0.2 respectively.
We define event $A$ as "the outcome is a divisor of 3" and event $B$ as "t
Conditional Probability
1. **State the problem:** We have outcomes 1, 2, and 3 with probabilities 0.5, 0.4, and 0.1 respectively.
We define event A as "the outcome is a divisor of 3" and event B as "the o
Conditional Probability
1. **State the problem:** We have a probability table with outcomes and their probabilities. We define two events:
- Event A: The outcome is a divisor of 3.