<u>Answer:</u>
The total time taken to complete 25 miles is 7.6 hours.
Solution:
Ben walks 5 miles in 1 hour,
Second 5 miles in 1.4 hours,
Third 5 miles in 1.7 hours,
Last 5 miles in 1.8 hours
So he walked total 20 miles in (1+1.4+1.7+1.8) hours = 5.9 hours = 6 hours (approximately)
So his average speed is
miles/hours = 3.33 miles/hours.
i.e. he travels 3.3 miles in 1 hour,
Then, he travels 1 miles in
hours
Hence the total time he will take to walk 25 miles is 

That is approximately 7.57 or 7.6 hours.
Correct answer: 1) (f/g)(x)
Solution: f(x)=x^2-6x-27=(x+3)(x-9)
Answer:
Equation of a line is y = mx + c
Where m is the slope
c is the y intercept
Equation of the line using point
( 1 , - 4) and slope 5/2 is

Hope this helps you
Answer:
Im pretty sure the answer is 410 2/3
I hope this helped to answer your question.
Have a great day! :)
Answer:
Option B is correct.
Use the difference in sample means (10 and 8) in a hypothesis test for a difference in two population means.
Step-by-step Explanation:
The clear, complete table For this question is presented in the attached image to this solution.
It should be noted that For this question, the running coach wants to test if participating in weekly running clubs significantly improves the time to run a mile.
In the data setup, the mean time to run a mile in January for those that participate in weekly running clubs and those that do not was provided.
The mean time to run a mile in June too is provided for those that participate in weekly running clubs and those that do not.
Then the difference in the mean time to run a mile in January and June for the two classes (those that participate in weekly running clubs and those that do not) is also provided.
Since, the aim of the running coach is to test if participating in weekly running clubs significantly improves the time to run a mile, so, it is logical that it is the improvements in running times for the two groups that should be compared.
Hence, we should use the difference in sample means (10 and 8) in a hypothesis test for a difference in two population means.
Hope this Helps!!!