Answer:
There is a 2.7% chance that a particular death is due to an automobile accident?
Step-by-step explanation:
Automobile _____ 24 deaths
Cancer _________182 deaths
Heart disease ____333 deaths
Total ___________ 883 deaths
Probability = number of automobile accident deaths / total deaths
Probability = 24 / 883
Probability = 0.027
Probability = 2.7%
Answer:

Step-by-step explanation:
Given:

using the properties of log we can take the power 1/2 and multiply it.

now we can differentiate:



this is our answer!
Answer:
the admininstrative assistant can type 70 word in a minute i think
Step-by-step explanation:
Answer:
For this case if we want to conclude that the sample does not come from a normally distributed population we need to satisfy the condition that the sample size would be large enough in order to use the central limit theoream and approximate the sample mean with the following distribution:

For this case the condition required in order to consider a sample size large is that n>30, then the best solution would be:
n>= 30
Step-by-step explanation:
For this case if we want to conclude that the sample does not come from a normally distributed population we need to satisfy the condition that the sample size would be large enough in order to use the central limit theoream and approximate the sample mean with the following distribution:

For this case the condition required in order to consider a sample size large is that n>30, then the best solution would be:
n>= 30
Answer:
Step-by-step explanation:
He forgot the scale. It is 2 inches longer on the graph, but each inch represents 1/4 mile. So it is 2 quarter miles, or 1/2 mile