1. The probability joint density function of the continuous random variable X is given as follows. f(x,y) = {C(3x – Y); 1< x < 3 and 1). 2. 0.03 of the goods produced in a factory are defective. When a 25 unit sample is drawn for inspection a. What is the probability of having 4 defective goods? b. What is the probability of 2 or more defective goods? c. What is the probability of having 1 defective goods at most? 3. Suppose X is a binomial random variable with n=100 and p=0.3. Estimate P(X=40) by using the normal approximation.

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...
icon
Related questions
icon
Concept explainers
Topic Video
Question

Can you solve this problems?

1. The probability joint density function of the continuous random variable
X is given as follows.
f(x,y) = {c(3x
— у); 1 < х <3 and 1 < y < 2)
0;
otherwise
a. Calculate the value of c.
3.
b. Find P(x < 2, y >).
2. 0.03 of the goods produced in a factory are defective. When a 25 unit
sample is drawn for inspection
a. What is the probability of having 4 defective goods?
b. What is the probability of 2 or more defective goods?
c. What is the probability of having 1 defective goods at most?
3. Suppose X is a binomial random variable with n=100 and p=0.3. Estimate
P(X=40) by using the normal approximation.
Transcribed Image Text:1. The probability joint density function of the continuous random variable X is given as follows. f(x,y) = {c(3x — у); 1 < х <3 and 1 < y < 2) 0; otherwise a. Calculate the value of c. 3. b. Find P(x < 2, y >). 2. 0.03 of the goods produced in a factory are defective. When a 25 unit sample is drawn for inspection a. What is the probability of having 4 defective goods? b. What is the probability of 2 or more defective goods? c. What is the probability of having 1 defective goods at most? 3. Suppose X is a binomial random variable with n=100 and p=0.3. Estimate P(X=40) by using the normal approximation.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Application of Algebra
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Recommended textbooks for you
A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
Probability
ISBN:
9780134753119
Author:
Sheldon Ross
Publisher:
PEARSON
A First Course in Probability
A First Course in Probability
Probability
ISBN:
9780321794772
Author:
Sheldon Ross
Publisher:
PEARSON