Question 1

A uniform distribution is defined on the interval from 1 ≤ x ≤ 5.Graph it,and explain how to determine the density function.​

Accepted Answer

To graph a uniform distribution on the i

Question 2

Z is a standard normal random variable.The P(1.05 $\leq$  z $\leq$  2.13)equals​

Accepted Answer

A) ​0.8365 
B) ​0.1303 
C) ​0.4834 
D) ​0.6618 
A) ​0.8365 
B) ​0.1303 
C) ​0.4834 
D) ​0.6618

Question 3

For an exponentially distributed random variable x with a mean of 8,the probability of x ≤ 8 is .5.

Accepted Answer

A) True 
 B)False

Question 4

The high school GPAs of applicants for admission to a college program are recorded and relative frequencies are calculated for the categories.
 $$\begin{array} { l l } 
\mathrm { GPA } & f ( x ) \
\hline x < 2.0 & .08 \
2.0 \leq x < 2.5 & .12 \
2.5 \leq x < 3.0 & .35 \
3.0 \leq x < 3.5 & .30 \
3.5 \leq x &
\end{array}$$ 
a.Complete the table to make this a valid probability distribution.
b.What is the probability an applicant's GPA will be below 3.0?
c.What is the probability an applicant's GPA will be 2.5 or above?

Accepted Answer

The answer of The high school GPAs of applicants for...

A uniform distribution is defined on the interval from 1 ≤ x ≤ 5.Graph it,and explain how to determine the density function.

Z is a standard normal random variable.The P(1.05 $\leq$ z $\leq$ 2.13)equals

For an exponentially distributed random variable x with a mean of 8,the probability of x ≤ 8 is .5.

Introduction

Introduction to Probability

Decision Analysis

Utility Game Theory

Time Series Analysis Forecasting

Intro to Linear Programming

LP Sensitivity Analysis

LP Applications

Distribution Network Models

Integer Linear Programming

Advanced Optimization Applications

Project Scheduling

Inventory Models

Waiting Line Models

Simulation

Markov Processes

Filters

Exam 3: Probability Distributions

A uniform distribution is defined on the interval from 1 ≤ x ≤ 5.Graph it,and explain how to determine the density function.​

Z is a standard normal random variable.The P(1.05 ≤\leq≤ z ≤\leq≤ 2.13)equals​

For an exponentially distributed random variable x with a mean of 8,the probability of x ≤ 8 is .5.

Introduction

Introduction to Probability

Decision Analysis

Utility Game Theory

Time Series Analysis Forecasting

Intro to Linear Programming

LP Sensitivity Analysis

LP Applications

Distribution Network Models

Integer Linear Programming

Advanced Optimization Applications

Project Scheduling

Inventory Models

Waiting Line Models

Simulation

Markov Processes

Filters

A uniform distribution is defined on the interval from 1 ≤ x ≤ 5.Graph it,and explain how to determine the density function.

Z is a standard normal random variable.The P(1.05 $\leq$ z $\leq$ 2.13)equals