The joint probability distribution of X and Y in table can be used to findMarginal probability distribution of YMarginal probability distribution of XY = response time(Nearest second)X = number of Bars of Signal StrengthP(Y)40.150.10.05?0.020.10.05?20.020.030.2?0.010.020.25?P(X)?Answer:

For the given data Find marginals of x and y

Answered: The joint probability distribution of X…

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

normal distribution has mean = 38 and sd= 4 (a) Find the z score corresponding to x = 28 (b) Find the z score corresponding to x = 45.
Students in a statistics course take their first exam and the class gets μ = 75.75 and σ = 7.75. The distribution is normally distributed (bell curve shaped). The professor takes all the scores and turns them into z-scores. What is true of the new z-score distribution that the professor has made? Group of answer choices
Applying the Normal Distribution and Central Limit Theorem The population of adult women in the United States has a mean height of 65 inches (5'5") and a standard deviation of 3.5 inches. Let X = the height of an American female. Thus, X~ N(65, 3.5). Use the scenario above to determine the selected probabilities below. You may wish to use the Normal Distribution Calculator hosted by the University of lowa's Department of Mathematical Sciences. Remember: the formatting of this calculator may vary slightly from what is used in class. (link: Normal Distribution Calculator) a. What is the probability of randomly selecting a female shorter than 58 inches tall? P(X<58) = (Include five decimal places.) b. Determine the 90th percentile for the distribution. (This Normal Distribution Percentile Calculator may be useful.) x = inches. (Include one decimal place.) c. If 100 women were randomly chosen, what is the probability that the sample mean of this group would be less than 64.5 inches? P(X <…
Service time for a customer coming through a checkout counter in a retail store is a random variable with the mean of 4.0 minutes and standard deviation of 2.0 minutes. Suppose that the distribution of service time is fairly close to a normal distribution. Suppose there are two counters in a store, n₁ = 46 customers in the first line and n₂ = 52 customers in the second line. Find the probability that the difference between the mean service time for the shorter line X₁ and the mean service time for the longer one X₂ is more than 0.3 minutes. Assume that the service times for each customer can be regarded as independent random variables. Round your answer to two decimal places (e.g. 98.76). P = !
Question * Given X be the life time of a bulb having a probability density function f(x) =-e for x>0 and 0 elsewhere. The mean life time of the bulbs is equal to: %3D O 1/2 O None of these O 1/4 Question* Let X and Y be two independent continuous random variables with marginal distribution
The joint probability distribution of x and y is as follows: У p(x, y) 1 .10 .04 .02 1 .08 .20 .06 .06 .14 .30 Q1. What is the value of the marginal probability P(x = 1)? %D Q2. What is the value of the marginal probability P(y = 1)?
The Weibull distribution is widely used in statistical problems relating to aging of solid insulating materials subjected to aging and stress. Use this distribution as a model for time (in hours) to failure of solid insulating specimens subjected to AC voltage. The values of the parameters depend on the voltage and temperature; suppose a = 2.6 and B = 220. (a) What is the probability that a specimen's lifetime is at most 250? Less than 250? More than 300? (Round your answers to five decimal places.) at most 250 less than 250 more than 300 0.7520 0.7520 0.1065 x X X (b) What is the probability that a specimen's lifetime is between 100 and 250? (Round your answer to four decimal places.) 0.6312 (c) What value (in hr) is such that exactly 50% of all specimens have lifetimes exceeding that value? (Round your answer to three decimal places.) 191 Xhr
Service time for a customer coming through a checkout counter in a retail store is a random variable with the mean of 1.0 minutes and standard deviation of 0.5 minutes. Suppose that the distribution of service time is fairly close to a normal distribution. Suppose there are two counters in a store, n = 11 customers in the first line and n2 = 30 customers in the second line. Find the probability that the difference between the mean service time for the shorter line X1 and the mean service time for the longer one X2 is more than 0.5 minutes. Assume that the service times for each customer can be regarded as independent random variables. Round your answer to two decimal places (e.g. 98.76). P = i
Time between accidents in an industrial setting are exponentially distributed with a mean of 100,000 man-hours of operation. Determine the probability that next accident will occur before 80,000 man-hours of operation. Pr(Next accident is before 80000 hrs)=
λ = 100 for a Y random variable with a Poisson distribution. Find the probability that the Y random variable is between 96 and 112 using the Normal approximation of the Poisson distribution.

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