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
Answer:
Option B
Step-by-step explanation:
Given that a candy manufacturer is interested in the distribution of colors in each of its packages of candy sold. The manufacturer randomly sample packages from multiple batches at one factory.
Because he resorts to only one factory, there may be bias in the sample. Other factories may have different processes of the settings and also if a diversified sample is taken then it is likely to represent the whole population, and hence results would be more accurate
Option A is incorrect since only one factory was done
C and D are not selected because one factory result cannot be generalised to all other factors in the same country or outside.
So answer would be
B) No, because the other factories may have different processes or the settings
Answer:x
x ≥ - 7
Step-by-step explanation:
Answer:
x= negative 3
Step-by-step explanation:
-6 divided by 2 is -3
the answer is 1 2 and 3 because they cant be divided by anything
