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📘 probability and statistics

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Probability Transportation 65C11D
1. Given the survey data: | Mode | Male | Female | Total |
Mean Harmonic 684Ce7
1. **Problem statement:** We are given two numbers whose arithmetic mean (AM) is 13 and geometric mean (GM) is 12. We need to find the two numbers and their harmonic mean (HM). 2.
Probability Distributions 48296A
1. **Problem statement:** We have three parts involving different probability distributions: binomial, Poisson, and normal.
Discrete Variable
1. The first question asks: "A variable that can take on a countable, finite value." This describes a discrete random variable. 2. The formula for discrete random variables is that
Random Variable Types
1. **Problem B: Classify the random variables as discrete or continuous.** 2. **Discrete random variables** take countable values, often integers.
Monte Carlo Profits
1. **Problem:** Find the selling price for Trial 1 using the random number 81. - Selling Price probabilities:
Normal Distribution
1. **Problem Statement:** We will learn about the Normal Distribution, a key concept in probability and statistics used to calculate probabilities for continuous random variables.
Probability Statements
1. **Problem 1: True or False statements about probability and distributions** (a) Given $B \subset A$ and $P(B) > 0$, check if $P(A|B) \leq P(B|A)$.
Probability Statistics
1. Problem Q.1 (a): Given $P(A)=0.3$, $P(B)=0.4$, and $P(A \cap B)=0.2$, find $P(A|B)$ and $P(A|B^c)$. Formula: Conditional probability $P(A|B) = \frac{P(A \cap B)}{P(B)}$. Also, $
Probability Correlation
1. **Problem 1: Find marginal distributions and conditional distribution** Given joint pmf: $$P(x,y) = K(2x + 3y)$$ for $$x=0,1,2$$ and $$y=1,2,3$$.
Random Variate Generators
1. **Problem a**: Develop a formula for a random variate generator for the random variable $X$ with p.d.f. $$f(x) = \begin{cases} e^{2x} & -\infty < x \leq 0 \\ e^{-2x} & 0 < x < \
Random Number Generation
1. **Problem statement:** (a) Transform random numbers uniform on $[0,1]$ to uniform on $[-11,17]$.
Simulate Ratio
1. **Problem Statement:** We have three random variables \(X, Y, Z\) with normal distributions: - \(X \sim N(100, 100)\), meaning mean \(\mu_X = 100\) and variance \(\sigma_X^2 = 1
Probability Basics
1. The problem appears to involve probability and statistics concepts in the context of a category or assessment. 2. Since no specific question or data is provided, I will explain