🎲 probability
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Probability Venn
1. **Stating the problem:** We have two events $A$ (Chess club members) and $B$ (Science club members) with given probabilities:
$$P(A) = \frac{9}{13}, \quad P(B) = \frac{5}{13}, \
Probability Questions
1. Problem: Find the probability that no husband sits next to his wife when 4 married couples are arranged in a row.
Step 1: Total number of ways to arrange 8 people is $$8!$$.
Probability Problems
1. Problem: Find the probability that no husband sits next to his wife when 4 married couples are arranged in a row.
Step 1: Total number of ways to arrange 8 people is $$8!$$.
Probability Tree Venn
1. **Problem 1: Drawing a tree diagram and finding probabilities for card suits**
- A deck has 52 cards, 13 cards per suit (hearts, clubs, diamonds, spades).
Probabilitas Kondisional
1. Diberikan probabilitas:
- $P(A) = 0.25$
Heart Or King
1. **State the problem:** We want to find the probability that a card drawn from a standard deck of 52 cards is either a heart or a king.
2. **Recall the formula for the probabilit
Complementary Events
1. The problem is to find the probability of events 4 and 5 using the complementary events formula.
2. The complementary events formula states that $P(A) = 1 - P(A^c)$, where $A^c$
Probability Complements
1. **Problem 4a:** Find the complement probability $P(A^c)$ given $P(A) = 0.0175$.
The complement rule states:
Dice Sum 6
1. **Problem Statement:** We want to find the probability of getting a sum of 6 when two dice are rolled.
2. **Formula:** Probability is given by the ratio of favorable outcomes to
Probability Events
1. **Problem statement:**
We have events:
Random Variable
1. The problem asks: What is a random variable?
2. A random variable is a function that assigns a numerical value to each outcome in a sample space of a random experiment.
Find P Value
1. **State the problem:** We are given a discrete random variable with values $x_i = 1, 3, 7, 8$ and corresponding probabilities $p_i = 0.1, 0.4, p, 0.15$. We need to find the valu
Random Variable Distributions
1. **Problem:**
(a) Given a Poisson random variable $X$ with $P\{X=0\} = e^{-\mu}$, find $E[X]$.
Probability Distribution
1. **Problem statement:**
A box contains 6 discs: 4 blue and 2 red. Discs are drawn one by one without replacement. Let $X$ be the number of discs drawn up to and including the fir
Conditional Probability
1. **State the problem:** We want to find the probability that a customer tested Game A given that they recommended their game. This is a conditional probability problem.
2. **Reca
Cdf Jump Behavior
1. **Stating the problem:** We have a cumulative distribution function (CDF) $F:\mathbb{R} \to \mathbb{R}$ and a function $b:[0,1] \to \mathbb{R}$ defined by
$$
Probability Red Blue
1. **Problem statement:** A box contains 5 red, 3 blue, and 2 green marbles. Two marbles are drawn without replacement. Find the probability that exactly one red and one blue marbl
Possible Outcomes
1. Let's clarify the problem: You want to know how to write the possible outcomes correctly, which usually refers to listing all possible results of an experiment or event.
2. The
Probability Online Female
1. **State the problem:** We want to find the probability that a customer shops online given that the customer is female.
2. **Formula used:** The conditional probability formula i
Probability Union
1. **State the problem:**
We are given the probabilities of passing two exams: Statistics ($P(S) = 0.7$) and Math ($P(M) = 0.9$), and the probability of passing both exams ($P(S \c
Expected Value Standard Deviation
1. **Stating the problem:** We are given a discrete random variable with scores and their corresponding probabilities. We need to find the expected value (mean) and the standard de