This problem is solved by using R
Two sample t test output :
![R RGui (32-bit) - [R Console] R File Edit View Misc Packages Windows Help Q@STO > x1=C(1.74,1.76,0.93,2.62,0.57,1.79,4.23,3.8](http://img.homeworklib.com/questions/176208d0-e806-11ea-b296-170939669e7b.png?x-oss-process=image/resize,w_560)
Summary :
a. The null and alternative hypothesis will be

Test statistic (t) = 0.4057
Degree of freedom = n1 + n2 - 2 = 38
Critical value = -2.0244 , 2.0244
Conclusion : Do not reject H0 .There is insufficient evidence that the means differ.
b. p- value = 0.6872
c.the following assumptions is necessary for a)
Answer :D. Since the sample sizes are both less than 30, it must be assumed that both sampled populations are approximately normal.
d. 95 % confidence interval for population mean difference is given ( -0.91 , 1.36)
now, interpretation of confidence interval
Answer : C. You can conclude with 95% confidence that the difference between the population mean wait times of the two offices falls inside this interval.
Thank You!
Aprobion with a phone line that prevents a customer from receiving or making calls uptening to...
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