A research paper recommends using Poisson process to model the number of failures in commercial water pipes The paper also gives estimates the failure rate in units of failures per 100 miles of pipe per day; for four different types of pipe and for many different years_ For example, for cast iron pipe in 2005, the authors' estimate is the failure rate is 0.0864 failures per 100 miles per day: Suppose a town had 2500 miles of cast iron pipe underground in 2005 What is the probability of at least two failures
The units are ordered smallest to largest from top to bottom:
Picometer (pm) = 1 x 10⁻¹² meters
Nanometer (nm) = 1 x 10⁻⁹ meters
Micrometer (um) = 1 x 10⁻⁶ meters
Millimeter (mm) = 1 x 10⁻³ meters
Centimeter (cm) = 1 x 10⁻² meters
Decimeter (dm) = 1 x 10⁻¹ meters
Meters (m) = 1 meter
Kilometers (Km) = 1 x 10³ meters
Step-by-step explanation:
Let's make the number we're finding to be 
. So, it says that it will be divided by 4 and then added by 12 if we want this in algebraic expression it will be 
. It's also telling us that that expression is the same thing as our number divided by 3 and subtracted by 5. If we want an expression out of it it well be 
. Since they are the same, we have the equation below.
All we have to do now is to find .
<h3>Answer:</h3>
Our number must be 
. I think
Answer:
For on it depends on how many cards you have and how many 4's there are
Step-by-step explanation:
So say you had 16 cards and 3 of them were 4 the probability of you picking a 4 is 3 of 16.
