Chapter 7

Question 1

A continuous probability distribution where the shape is always rectangular with a base determined by the minimum value of a and a height of maximum value of b.

Answer 1

uniform distribution

Question 2

The area of a uniform distribution always equal what?

Answer 2

1

Question 3

where is the mean located in a uniform distribution

Answer 3

the exact middle of the range between a and b.

Question 4

What are characteristics of a normal probability distribution

Answer 4

1. Bell shaped
2. Symmetrical
3. asymptotic (tails never touch x)
4. Location is determined by the mean

Question 5

A normal probability distribution with a mean equal to 0 and variance equal to 1

Answer 5

Standard normal deviation

Question 6

The signed distance between a selected value, designated x, and the mean, divided by the standard deviation.

Answer 6

z value, also called standard normal values
x-mean/standard deviation

Question 7

This continuous probability distribution usually describes times between events in a sequence.

Answer 7

exponential distribution

Question 8

How does exponential distribution skewness differ from uniform and normal distributions

Answer 8

It is positively skewed

Question 9

Referred to as the rate parameter

Answer 9

Lambda (looks like a weird A).

Question 10

Formula for uniform distribution

Answer 10

P(x)=1/b-a

Question 11

A signed distance between a selected value, designated x, and the mean, divided by the standard deviation

Answer 11

z value