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🎲 probability

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Brown Ginger Probability
1. The problem asks for the probability that a student chosen at random has either brown hair or ginger hair. 2. We are given:
Prob Defective Watches
1. **Problem statement:** We have a pack of 10 watches, of which 3 are defective. We select 2 watches at random. We want to find the probability that at least one of the selected w
Mutually Exclusive Events
1. **State the problem:** We want to find two events from the list that are mutually exclusive when rolling a fair six-sided die once. 2. **Define the events:**
Probability Density
1. **Problem Statement:** The probability density function (pdf) $f(x)$ is defined as: $$f(x) = \begin{cases} c(x + 3), & 0 < x < 2 \\ c(7 - x), & 2 < x < 4 \\ 0, & \text{elsewhere
Mgf Geometric
1. The problem is to find the Moment Generating Function (MGF) for a random variable $X$ with probabilities $P(X=k) = \frac{1}{k}$ for $k=1,2,3,\ldots$ using the geometric series.
Mgf For 1 Over K
1. The problem is to find the moment generating function (MGF) of a random variable $X$ that takes values $1/k$ for $k=1,2,3,\ldots$ using the geometric series.\n\n2. Assume the PM
Mgf For 1 Over K
1. The problem asks us to find the Moment Generating Function (MGF) for a random variable defined as $X = \frac{1}{k}$, where $k = 1,2,3,\ldots$. 2. Typically, the MGF of a random
Frequency Tree Probs
1. For the lunch and gift shop problem, state given info: - Students brought packed lunch: 43
Binomial Poisson
1. **State the problem:** We have a probability $p=0.008$ that a new car has faulty brakes. A sample of $n=520$ cars is taken, and $X$ denotes the number of cars with faulty brakes
Total Probability Law
1. **Problem Statement:** Prove the Law of Total Probability: If $A_1, A_2, \dots, A_n$ are mutually exclusive and exhaustive events with $P(A_i) > 0$ for all $i=1,2,\dots,n$, and
Total Probability Law
1. **Problem Statement:** Prove the Law of Total Probability which states that if $A_1, A_2, ..., A_n$ are mutually exclusive and exhaustive events with $P(A_i) > 0$ for $i=1,2,...
Bacteria Poisson
1. The problem asks to find probabilities of numbers of bacteria in 1 mg of liquid, given that the mean number (\(\lambda\)) is 2 (assumed from provided probabilities). We use the
Poisson Bad Reactions
1. **State the problem:** Given the probability of a bad reaction from serum injection is 0.001, and 2000 individuals are injected, find: (i) The probability exactly 3 individuals
Watch Probability
1. **State the problem:** Find the probability that a randomly selected student wears a watch from the group of 10 students. 2. **Identify students who wear a watch:** These are al
Ybola Probability
1. **ප්‍රශ්නය ප්‍රකාශය**: යබෝල 15ක් ඇත, ඒ අතර රතු 3, කහ 4, යකාළ 3 සහ නිල් 5 යබෝල වේ. යතාරැවින් යබෝල 3ක් තෝරා ගනී. 2. **නියැදි අවකාශය (Sample space):**
Probability Formulas
1. The basic probability formula is given by: $$P(E) = \frac{\text{Number of favorable outcomes}}{\text{Total number of possible outcomes}}$$
Dice Probability
1. The problem asks to find the experimental probability of rolling a 1 on a fair six-sided die after a million rolls, given the theoretical probability is $\frac{1}{6}$.\n\n2. The
Markov Stationary
1. **State the problem:** Find a stationary distribution $\pi$ for the Markov chain with transition matrix $$
Venn Probability
1. Stating the problem: We have 255 students studying history (HIS), geography (GEO), and mathematics (MATH) with given numbers of students studying each and their intersections. W
Even Number Probability
1. **State the problem:** We have a spinner numbered 1 to 10 with equal probability for each number. We want the probability that the spinner lands on an even number every time in
Joint Probability
1. **Problem statement:** Given the joint PDF of random variables $X$ and $Y$ as $$f(x,y) = \frac{2}{75}(2x + y^2), \quad 0 \leq x \leq 3, 1 \leq y \leq 2$$ Find: (1) $P[1 \leq X \