The random variable X has the discretevariable in the set {-1,- 0.5, 0.7, 1.5, 3} thecorresponding probabilities are assumed tobe {0.1, 0.2, 0.1, 0.4, 0.2}. Plot its distributionfunction and state is it a discrete or continuousdistribution function.

Answered: Image /qna-images/answer/48334828-3e6f-4679-97a2-437a7946cdc9.jpg

Answered: The random variable X has the discrete…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

Would it be 200-260/34.3 or 200-300/34.3? I don't understand this sorry.
Since the probability function of the random variable X is as shown in the picture, calculate the expected value and variance.
Q4: The probability mass function of a discrete random variable X is given by the following table: X 1 2 3 4 5 6 P(X) 1/36 3/36 5/36 7/36 9/36 11/36 Find 1- Cumulative distribution function. 2- Draw a graph of the probability mass function and cumulative distribution function. 3- Mean and variance. 4- Standard deviation.
Decide whether the random variable X is discrete or continuous. X represents the tension at which a randomly selected guitars strings have been strong.
A student takes a test in which they have to indicate whether each of n statements is true or false. The student knows nothing at all about the subject matter and guesses the answers randomly. Let X denote the number of correct answers (a) Write down expressions for the expectation, E(X), and the variance, var(X). Suppose the student gets three marks for every correct answer but loses one mark for every incorrect answer. Let Y denote the student’s total score. (b) Show that Y = 4X −n. (c) Write down expressions for E(Y ) and var(Y ).
Find the variance for the probability distribution 4 0 1 2 3 P(X=x) 0.04 0.18 0.34 0.23 0.21 Select one: а. 1.12 b. 1.26 с. 1.59 d. 3.79
Let be a normally-distributed random variable with mean u= 100 and variance 2 = 16: Select which statement is true. P(94 < X< 106) = 0.68 approximately. P(92 < X< 108) = 0.68 approximately. P(86 < X<114) = 0.68 approximately. none of these P(96 < X< 104) = 0.68 approximately.
Let X be a random variable with the following probability values. F(x)= c(1-2x2+x®), x= 0,1,2,3,4,5. (a) Find the value of c to make it a probability distribution. (b) Establish the probability distribution of X (table). (c) Find the mean of the random variable X.
X is a discrete random variable such that the possible values are {a, a+1, a+2, ... b-1, b}. The random variable has a mean of 7 and a variance of 4. What is the Pr(X<=6|X>4)?
Assume that X₁, X2,..., Xn are independent and identically distributed random variables with expectation and finite variance o2. What is the approximate distribution of Sn = X₁ + X₂ + + Xn? (State all parameters of the distribution.)
For a large population of people, the probability distribution for the random variable X = the number of meals a person ate yesterday and the assigned probabilities is given below: Meals, X Probability (a) Find P(X= 5), the probability that a randomly selected person ate 5 meals yesterday. P(X= 5) = 1 3 4 5 0.17 0.35 0.24 0.17 ? (b) Find P(X ≤ 2), the probability that a randomly selected person ate 2 or fewer meals yesterday. P(X ≤ 2) = (c) Find the probability that a randomly selected person ate 1 meal or ate 5 meals yesterday. P = (d) Find P(X > 1), the probability that a randomly selected person ate more than 1 meal yesterday. P(X > 1) =
Q4: The probability mass function of a discrete random variable X is given by the following table: X 1 2 3 4 5 6 P(X) 1/36 3/36 5/36 7/36 9/36 11/36 Find 1- Cumulative distribution function. 2- Draw a graph of the probability mass function and cumulative distribution function. 3- Mean and variance. 4- Standard deviation.

SEE MORE QUESTIONS

Recommended textbooks for you

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

SEE MORE TEXTBOOKS

The random variable X has the discrete variable in the set {-1,- 0.5, 0.7, 1.5, 3} the corresponding probabilities are assumed to be {0.1, 0.2, 0.1, 0.4, 0.2}. Plot its distribution function and state is it a discrete or continuous distribution function.