How do you graphically portray the probability distribution of a discrete random variable?

Q: Why can’t all the probabilities for a Poisson random variable be displayed in a probability…

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Q: Discuss the applications of error probability?

A: Before discussing the applications of error probability, first we discuss about the error…

Q: What is the shape of a x ^ 2 distribution?

A: If Xi’s follows standard normal distribution for all i = 1, 2, .., n, then ΣXi2 follows chi square…

Q: What is probability distribution (continuous)?

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Q: Explain the probability distribution of Size n random distribution?

A: The probability distribution of size n for random variables describes how the probabilities are…

Q: What are the difficulties of learning random variable and probability distribution?

A: We know that the,  A random variable is a variable whose value is unknown OR a function that…

Q: How do you determine the values of a random variable?

A: A random variable is a numerical description of the outcome of a statistical experiment. A random…

Q: What is the difference between discrete and continuous probability distributions?

A: From the question, We'll distinguish between discrete and continuous distribution.

Q: What requirements are necessary for a normal probability distribution to be a standard normal…

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Q: What is a random variable?

A: A random variable is a variable whose possible values are numerical outcomes of a random phenomenon.…

Q: the variance of the probability distribution

A: It is given that k=1/6.

Q: What is a discrete random variable?

A: DISCRETE RANDOM VARIABLE →Discrete random variable is a random variable with a finite or a countable…

Q: What does the mean of a probability distribution tell us? How do you interpret the mean of a…

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Q: How do you recognize when a probability problem requires the use of the basic rules of probability,…

A: a) If the total number of favorable cases and total possible cases are given then it is appropriate…

Q: Describe what the expected value or mean of a probability distribution represents geometrically.

A: Geometric distribution P[X=x]=pqx           x=0,1,2,3.....…

Q: What is the difference between the two types of random variables?

A: Random variables are those that assume numerical values determined by the outcome of an experiment.…

Q: What is the Advantage and Disadvantage of Using the Binomial Probability Distribution

A: A binomial probability distribution is used when the number of trials are few and the probability of…

Q: What is the expected value of the probability distribution of the discrete random variable X?

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Q: How do you know whether a random variable is continuous or discrete?

A: Discrete variable : It is countable. The discrete variables comes from counting number. It assumes…

Q: what is the difference between a Binomial probability distribution and the Poisson probability…

A: The binomial distribution is measure the number of certain random events within a certain frame is…

Q: One advantage and one disadvantage of the binomial probability distribution.

A: Advantage:-  The binomial distribution model allows us to compute the probability of observing a…

Q: What is a linear probability model? What are the drawbacks of linear probability models

A: In this problem, we need to write about the linear probability model and its drawbacks.

Q: Explain one actual application of a discrete probability distribution or a poisson distribution in…

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Q: In which aspects of your life can you associate the ideas of discrete random variables and…

A: [Polling] Exit polls to predict outcome of elections [Experiments] Using sample data from…

Q: Define the Mean and Variance of Sums of Random Variables?

A: The mean of a random variable X is a weighted average of the possible values that the random…

Q: what can you learn about random variable and probability distribution?

A: Random variable and probability distribution : First understand both terms separate - Random…

Q: describe a probability distribution.

A: We have to check whether the Given Formula of P(x)  is Probability Distribution or not, We know that…

Q: What does the probability distribution of a discrete random variable tell you?

A: The discrete random variable is obtained by counting values for which there are no in-between…

Q: How does reducing the Probability of a Type I Error is done?

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Q: What are the two requirements for a discrete probability​ distribution?

A: Discrete random variable: A random variable which takes countable finite values.Discrete probability…

Q: What is the difference between a discrete probability distribution and a continuous probability…

A: A discrete distribution is one in which the data can only take on certain values, for example…

Q: What is meant by the term Cumulative Distribution Function? And how would you apply it to the…

A: Lets assume that we have been provided with a discrete probability function such that : X 3 4 6 7…

Q: How do you claculate Empirical probability?

A: Solution: Let A be the event.

Q: Explain when the Poisson probability distribution is used.

A: A Poisson distribution is a distribution of probability that can be used to illustrate how many…

Q: 1. What does the mean of a probability distribution tell us? How do you interpret the mean of a…

A: We have to tell about mean of probability distribution. We have to tell why values of discrete…

Q: do we compute the mean or expected value, standard deviation, and variance given a discrete…

A: Let the discrete probability function be as follows x P (X) 1 0.2 2 0.4 3 0.1 4 0.3

Q: What is the relationship between the joint probability and marginal probabilities of two independent…

A: The relationship between the joint probability and marginal probabilities of two independent events…

Q: Find the expected value of the probability model.

A: Expected value of probability model E(x)=∑xiPxi

Q: Calculate the mean for the discrete probability distribution

A: The mean or expected value for discrete probability distribution is μ =  ∑x.P(x)

Q: How does the probability of union of disjoint events exhibit itself when dealing with a (discrete or…

A: Introduction: Suppose there are n events, A1, A2, …, An. The general formula for the probability of…

Q: What type of probability involves repeating an experiment and recording the relative frequency of…

A: Probability which involves repeating an experiment and recording the relative frequencies of the…

Q: 1. How do you determine the values of a random variable? 2. How do you know whether a random…

A: 1) To determine the possible values of a random variable, First of all we have to list all possible…

Q: How would you use the normal distribution to find approximately the frequency of exactly 5 successes…

A: Given  n=100 , p=0.1

Q: What is the shape of a χ2χ2-distribution?

A: The Chi-Square  distribution curve is skewed to the right and its shape depend on the degree of…

Q: what is the random variable for the height of buildings? how do you find the probability…

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Q: A description of the distribution of the values of a random variable and their associated…

A: Given that, A description of the distribution of the values of a random variable and their…

Q: Explain Probability Distribution of a Continuous Random Variable?

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Q: True or false For a normally distributed random variable, P(X > µ) = .5

A: The question is based on a normal dist. Given : P ( X > μ ) = 0.5

Q: What is the shape of most probability distribution? Why do you think so?

A: Probability distribution is a mathematical function, and it describes that the random variable (x)…

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.