if you want to remove an article from website contact us from top.

    what are the two requirements for a discrete probability​ distribution?

    James

    Guys, does anyone know the answer?

    get what are the two requirements for a discrete probability​ distribution? from EN Bilgi.

    Solved: What are the two requirements for a discrete

    What are the two requirements for a discrete probability distribution? Answer:Step 1 of 1Two Requirements for a Probability distributiona) Each probabilities must be between 0 and 1 b) The sum of the probabilities must be equal to 1. [The probability distribution of a discrete random variable X assigns a probability

    Textbooks / Statistics / Fundamentals of Statistics 4 / Chapter 6.1 / Problem 3AYU

    Solved: What are the two requirements for a discrete

    ISBN: 9780321838704 30

    Solution for problem 3AYU Chapter 6.1

    Fundamentals of Statistics | 4th Edition

    Get Full Solutions 406 Reviews 23 2 Problem 3AYU Problem 3AYU

    What are the two requirements for a discrete probability distribution?

    Step-by-Step Solution:

    Answer: Step 1 of 1

    Two Requirements for a Probability distribution

    a) Each probabilities must be between 0 and 1

    b) The sum of the probabilities must be equal to 1.

    [The probability distribution of a discrete random variable X assigns a probability to each possible values of the variable. Each probability is a number between 0 and 1, and the sum of the probabilities of all possible values equals 1.

    Let xi , i = 1, 2, . . . , k, denote a possible outcome for the random variable X, and let P(X = xi) = P(xi) = pi denote the probability of that outcome.

    Then 0 ≤ P(xi) ≤ 1 and  P(xi) = 1 since each probability falls between 0 and 1, and since the total probability equals 1.]

    Step 2 of 1

    Chapter 6.1, Problem 3AYU is Solved

    View Full Solution

    Textbook: Fundamentals of Statistics

    Edition: 4

    Author: Michael Sullivan,III

    ISBN: 9780321838704

    Fundamentals of Statistics was written by and is associated to the ISBN: 9780321838704. This textbook survival guide was created for the textbook: Fundamentals of Statistics, edition: 4. Since the solution to 3AYU from 6.1 chapter was answered, more than 315 students have viewed the full step-by-step answer. The full step-by-step solution to problem: 3AYU from chapter: 6.1 was answered by , our top Statistics solution expert on 04/03/17, 08:02AM. The answer to “What are the two requirements for a discrete probability distribution?” is broken down into a number of easy to follow steps, and 10 words. This full solution covers the following key subjects: ayu, Discrete, distribution, Probability, requirements. This expansive textbook survival guide covers 51 chapters, and 2146 solutions.

    Other solutions

    1AYU: What is a random variable?

    Michael Sullivan,III

    9780321838704 Statistics

    Fundamentals of Statistics

    4 Edition from 2 Reviews View Full Material

    2AYU: What is the difference between a discrete random variable and a con...

    Michael Sullivan,III

    9780321838704 Statistics

    Fundamentals of Statistics

    4 Edition from 2 Reviews View Full Material

    3AYU: What are the two requirements for a discrete probability distribution?

    Michael Sullivan,III

    9780321838704 Statistics

    Fundamentals of Statistics

    4 Edition from 3 Reviews View Full Material

    4AYU: In your own words, provide an interpretation of the mean (or expect...

    Michael Sullivan,III

    9780321838704 Statistics

    Fundamentals of Statistics

    4 Edition from 3 Reviews View Full Material

    5AYU: Determine whether the random variable is discrete or continuous. In...

    Michael Sullivan,III

    9780321838704 Statistics

    Fundamentals of Statistics

    4 Edition from 8 Reviews View Full Material

    6AYU: Determine whether the random variable is discrete or continuous. In...

    Michael Sullivan,III

    9780321838704 Statistics

    Fundamentals of Statistics

    4 Edition from 3 Reviews View Full Material

    People also purchased

    22P: (I) Calculate the rest energy of an electron in joules and in MeV (...

    Douglas C. Giancoli 9780130606204 Physics

    Physics: Principles with Applications

    6 Edition from 3 Reviews View Full Material

    60GP: a situation. For each problem, draw a motion diagram, a force ident...

    Douglas C. Giancoli 9780130606204 Physics

    Physics: Principles with Applications

    6 Edition from 4 Reviews View Full Material

    59GP: The sun is 30° above the horizon. It makes a 52-m-long shadow of a ...

    Douglas C. Giancoli 9780130606204 Physics

    Physics: Principles with Applications

    6 Edition from 4 Reviews View Full Material

    14RQ: In daily life, we see many cases of people who are caught misrepres...

    Paul G. Hewitt 9780321909107 Physics Conceptual Physics 12 Edition from 5 Reviews View Full Material

    88: If 1.5 mol C2H5OH, 1.5 mol C3H8, and 1.5 mol CH3CH2COCH3 are comple...

    Nivaldo J. Tro 9780321809247 Chemistry

    Chemistry: A Molecular Approach

    3 Edition from 6 Reviews View Full Material

    10BSC: Appendix B Data Sets.?Refer to the sample data for the given exerci...

    Mario F. Triola 9780321836960 Statistics

    Elementary Statistics

    12 Edition from 3 Reviews View Full Material

    Related chapters

    Chapter 4.5: Elementary Statistics | 12th Edition

    Mario F. Triola 9780321836960 Statistics

    Elementary Statistics

    12 Edition from 39 Reviews View Full Material

    Chapter 2: University Physics | 13th Edition

    Hugh D. Young, Roger A. Freedman

    9780321675460 Physics University Physics 13 Edition

    Source : studysoup.com

    STATISTICS 125

    STATISTICS 125 Learn with flashcards, games, and more — for free.

    STATISTICS 125 - CHAPTER 6.1 Discrete Random Variables

    162 studiers in the last day

    What are the two requirements for a discrete probability distribution?

    Click card to see definition 👆

    The first rule states that the sum of the probabilities must equal 1. The second rule states that each probability must be between 0 and 1, inclusive.

    Let P(x) = 1 1. ∑ P(x) = 1 2. 0 ≤ P(x) ≤

    Click again to see term 👆

    Determine whether the random variable is discrete or continuous. In each​ case, state the possible values of the random variable.

    ​(a) The number of points scored during a basketball game.

    ​(b) The time it takes to fly from City Upper A to City Upper B.

    Click card to see definition 👆

    (a) The random variable is discrete. The possible values are x = 0, ​1, ​2,....

    (b) The random variable is continuous. The possible values are t > 0.

    Click again to see term 👆

    1/6 Created by mmontesd STATISTICS 125

    Terms in this set (6)

    What are the two requirements for a discrete probability distribution?

    The first rule states that the sum of the probabilities must equal 1. The second rule states that each probability must be between 0 and 1, inclusive.

    Let P(x) = 1 1. ∑ P(x) = 1 2. 0 ≤ P(x) ≤

    Determine whether the random variable is discrete or continuous. In each​ case, state the possible values of the random variable.

    ​(a) The number of points scored during a basketball game.

    ​(b) The time it takes to fly from City Upper A to City Upper B.

    (a) The random variable is discrete. The possible values are x = 0, ​1, ​2,....

    (b) The random variable is continuous. The possible values are t > 0.

    Determine whether the random variable is discrete or continuous. In each​ case, state the possible values of the random variable.

    ​(a) The number of people in a restaurant that has a capacity of 300.

    ​(b) The distance a baseball travels in the air after being hit.

    (a) The random variable is discrete. The possible values are x=​0, ​1, ​2,...comma 300.

    (b)The random variable is continuous. The possible values are d > 0.

    Is the distribution a discrete probability​ distribution?

    x P(x) 0 0.07 1 0.34 2 0.27 3 0.15 4 0.17

    Yes, because the sum of the probabilities is equal to 1 and each probability is between 0 and​ 1, inclusive.

    Determine the required value of the missing probability to make the distribution a discrete probability distribution.

    x P(x) 3 0.34 4 ? 5 0.08 6 0.29

    In a discrete probability​ distribution, the sum of the probabilities must equal​ 1, and all probabilities must be greater than or equal to 0 and less than or equal to 1.

    Notice that all the given probabilities are greater than or equal to 0 and less than or equal to 1.

    The probability​ P(4) is missing from the distribution. To find​ P(4), first add all of the given probabilities.

    ∑ P(4) = 0.34 + 0.08 + 0.29 = 0.71

    Recall that the sum of all the probabilities must equal 1 in a discrete probability distribution. To find​ P(4), subtract the sum of the other probabilities from 1.

    1.00 - 0.71 = 0.29

    The value for​ P(4) is a valid probability because it is greater than or equal to 0 and less than or equal to 1.

    Thus, ​P(4)=0.29 makes the probability distribution valid.

    In the probability distribution to the​ right, the random variable X represents the number of marriages an individual aged 15 years or older has been involved in. Complete parts​ (a) through​ (f) below.

    x P(x) 0 0.263 1 0.576 2 0.127 3 0.029 4 0.004 5 0.001

    (a) Verify that this is a discrete probability distribution.

    In a discrete probability​ distribution, all of the probabilities are between 0 and​ 1, inclusive, and the sum of the probabilities is 1.

    Identify the smallest probability in this distribution.

    The smallest probability is 0.001.

    Identify the greatest probability in this distribution.

    The greatest probability is 0.576.

    So all of the probabilities are between 0 and​ 1, inclusive. Now find the sum of the probabilities.

    0.263+0.576+0.127+0.029+0.004+0.001=1

    So the sum of the probabilities is 1. This verifies that this is a discrete probability distribution.

    (b) Draw the graph of the discrete probability distribution. Describe the shape of the distribution.

    The distribution has one mode and is skewed right.

    Sets with similar terms

    Econ Stats Exam 3!!

    49 terms rabrohau

    Econ Stats Ch 5

    55 terms pemartin3

    OBA 311 midterm redone

    23 terms mbrown1078

    Statistics Chapter 5: Discrete Probability Di…

    28 terms Kassidee_StevePLUS

    Sets found in the same folder

    Statistics - 1.2

    12 terms Marie_Thomas534PLUS

    STAT3

    8 terms quizlette420737

    5.1 pearson homework

    18 terms tmkelly96

    STATISTICS 3.1 - 3.2 Notes

    12 terms kaycasti6

    Other sets by this creator

    Statistics Math 125 - Module 1 Homework 2.1

    10 terms mmontesd

    Statistics Math 125 - Module 1 Quiz 1

    22 terms mmontesd

    Statistics Math 125 - Module 1 Homework 1.6

    10 terms mmontesd

    Statistics Math 125 - Module 1 Homework 1.5

    Source : quizlet.com

    What are the two requirements for the probability distributions of discrete random variables?

    In the development of the probability function for a discrete random variable, two conditions must be satisfied: (1) f(x) must be nonnegative for each value of the random variable, and (2) the sum of the probabilities for each value of the random variable must equal one.

    What are the two requirements for the probability distributions of discrete random variables?

    Asked By: Israe Amdursky | Last Updated: 19th June, 2020

    Category: personal finance options

    4.5/5 (996 Views . 24 Votes)

    In the development of the probability function for a discrete random variable, two conditions must be satisfied: (1) f(x) must be nonnegative for each value of the random variable, and (2) the sum of the probabilities for each value of the random variable must equal one.

    Click to see full answer

    Furthermore, what are the 2 requirements for a discrete probability distribution?

    A probability experiment that has the following conditions:

    Each trial can have only two outcomes or outcomes that can be reduced to two. outcomes.

    There must be a fixed number of trials.

    The outcomes of each trial must be independent of each other.

    The probability of success must remain the same for each trial.

    Additionally, how do you create a probability distribution of a discrete random variable? A discrete random variable has a countable number of possible values. The probability of each value of a discrete random variable is between 0 and 1, and the sum of all the probabilities is equal to 1. A continuous random variable takes on all the values in some interval of numbers.

    Also know, what is a probability distribution for a discrete random variable?

    The probability distribution. of a discrete random variable X is a list of each possible value of X together with the probability that X takes that value in one trial of the experiment. Each probability P(x) must be between 0 and 1: 0≤P(x)≤1. The sum of all the probabilities is 1: ΣP(x)=1.

    How do you calculate the mean of a discrete random variable?

    Use the following formula to compute the mean of a discrete random variable. where xi is the value of the random variable for outcome i, μx is the mean of random variable X, and P(xi) is the probability that the random variable will be outcome i.

    Example 1.

    Number of hits, x Probability, P(x)

    0 0.10 1 0.20 2 0.30 3 0.25

    35 Related Question Answers Found

    What are the laws for a discrete probability density function?

    For discrete probability ∑i pi = 1, where the sum is over all possible outcomes. About Rule 1: pi = 0 implies that the given outcome never happens, whereas pi = 1 implies that this outcome is the only possibility (and always happens). Any value inside the range (0,1) means that the outcome occurs some of the time.

    What makes a discrete probability distribution valid?

    To be a valid discrete probability distribution, we need: the sum of the probabilities of all the possible values of the random variable to be 1, i.e., X Pr ( X = x ) = 1 ; the probabilities of each possible value of the random variable to lie between 0 and 1, i.e., 0 ≤ Pr ( X = x ) ≤ 1 .

    What are the two criteria for a valid probability distribution?

    b) Discrete Probability distribution consists of the values a random variable can assume and the corresponding probabilities of the values. a) All probabilities must between 0 and 1 b) The sum of the probabilities must add up to 1. Continuous RANDOM VARIABLE – The number of values that X can assume is INFINITE.

    How do you find the probability distribution?

    How to find the mean of the probability distribution: Steps

    Step 1: Convert all the percentages to decimal probabilities. For example:

    Step 2: Construct a probability distribution table.

    Step 3: Multiply the values in each column.

    Step 4: Add the results from step 3 together.

    What is a proper probability distribution?

    A probability function is a function which assigns probabilities to the values of a random variable. All the probabilities must be between 0 and 1 inclusive. The sum of the probabilities of the outcomes must be 1.

    What is an example of a discrete random variable?

    A discrete variable is a variable which can only take a countable number of values. In this example, the number of heads can only take 4 values (0, 1, 2, 3) and so the variable is discrete. The variable is said to be random if the sum of the probabilities is one. Probability Density Function.

    What are the different probability distributions?

    There are many different classifications of probability distributions. Some of them include the normal distribution, chi square distribution, binomial distribution, and Poisson distribution. A binomial distribution is discrete, as opposed to continuous, since only 1 or 0 is a valid response.

    What makes a discrete probability distribution?

    A discrete distribution describes the probability of occurrence of each value of a discrete random variable. A discrete random variable is a random variable that has countable values, such as a list of non-negative integers. Thus, a discrete probability distribution is often presented in tabular form.

    Interested in items for sale? ⬇️

    Sell 𝘺𝘰𝘶𝘳 stuff

    Source : findanyanswer.com

    Do you want to see answer or more ?
    James 6 month ago
    4

    Guys, does anyone know the answer?

    Click For Answer