🎲 probability
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Conditional Density 9Affd0
1. **Problem statement:** Given the joint pdf $$f_{X,Y}(x,y) = \frac{15}{2}(2 - x - y)$$ for $$0 < x < 1$$ and $$0 < y < 1$$, find the conditional density of $$X$$ given $$Y = y$$.
Conditional Density B6C537
1. **Problem Statement:**
(a) Given joint pdf $f_{X,Y}(x,y) = \frac{15}{2}(2 - x - y)$ for $0 < x < 1$, $0 < y < 1$, find the conditional density of $X$ given $Y = y$.
Die Throw Probability B73Eca
1. **Problem statement:** We roll a fair six-sided die repeatedly until we get a 1 or a 6. We want to find the probability that it takes at least 3 throws but no more than 5 throws
Die Throw Probability 7B2B72
1. **Problem statement:** We roll a fair six-sided die repeatedly until we get a 1 or a 6. We want to find the probability that it takes at least 3 throws but no more than 5 throws
Pmf Probabilities 977226
1. **Problem Statement:**
A discrete random variable $X$ has a probability mass function (pmf) given by:
Pmf Constant 6E7Fdc
1. **Problem statement:** A discrete random variable $X$ has a probability mass function (pmf) given by $f(x) = c(x + 1)$ for $x = 0, 1, 2, 3$. We need to find the constant $c$.
2.
Odd Number 38B122
1. Problem: Calculate the theoretical probability of getting an odd number when rolling a fair dice.
2. Formula: The theoretical probability of an event is given by
Odd Number 36A5D1
1. Problem: Calculate the theoretical probability of getting an odd number when rolling a fair dice.
2. Formula: The theoretical probability of an event $E$ is given by
Conditional Probabilities 842D6E
1. The problem is to understand and calculate the conditional probabilities $P(X_2|C_1)$ and $P(X_2|C_2)$.
2. Conditional probability $P(A|B)$ is defined as the probability of even
Minimum Games 8020E6
1. **Problem Statement:**
They can play a maximum of 8 games and want to guarantee winning the prize. We need to find the minimum number of board games they should play to ensure t
Roulette Mean Variance 34A702
1. **Problem Statement:** We have a roulette wheel with numbers 1 to 9 and their respective probabilities given as:
| X | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Venn Tree Diagrams 3229D9
1. The problem is to understand and use Venn diagrams and tree diagrams to represent sets and probabilities.
2. A Venn diagram visually shows the relationships between different se
Probability Definitions 92F620
1. **Stating the problem:** Define the following probability terms based on the context of rolling dice and flipping coins: Experiment, Sample Space, Event, Outcome, Probability, M
Seat Probability 7614Df
1. **Problem Statement:** We need to find the probability of being allocated certain types of seats on an airplane given the layout and which seats are occupied.
2. **Understanding
Seat Probability 029Ab2
1. **Problem Statement:**
You are given a seating layout on an aeroplane with some seats occupied (shaded) and some unoccupied. You are to find the probability of being allocated a
Pom Topic Formulas 6Bf3De
1. The topic you are asking about is related to \textbf{Probability of Occurrence of an Event (POM)} in probability theory.
2. The key formulas you need to know are:
Joint Pmf Analysis 0219Cf
1. **Problem statement:** Given the joint pmf of discrete random variables $X$ and $Y$ as
$$\begin{array}{c|ccc|c}
Joint Density Probability F69718
1. **Problem Statement:**
We have a joint density function:
Joint Pmf 84924E
1. **Problem Statement:**
We have a joint probability mass function (p.m.f) $p(x,y)$ for the number of calls $X$ and trips booked $Y$. Given $p(x,y)$ values, we need to find:
Green Square Probability 294B3A
1. The problem asks for the theoretical probability of landing on a green square (not including the "end" square) when rolling a 6-sided die and moving along a path with 54 squares
Test Positive Probability 18Abcf
1. **Problem statement:**
A patient undergoes two independent diagnostic tests for the same disease. Each test has 90% sensitivity and 95% specificity.