Monthly rent paid by undergraduates and graduate students. Undergraduate Student Rents (n = 10) 760 770 890 660 730 790 790 690 1,060 680 Graduate Student Rents (n = 12) 1,080 920 930 880 720 920 740 830 960 880 860 870 Click here for the Excel Data File (a) Construct a 99 percent confidence interval for the difference of mean monthly rent paid by undergraduates and graduate students, using the assumption of unequal variances. (Use Minitab. Round your final answers to 3 decimal places.) The 99% confidence interval is from to (b) What do you conclude? We cannot conclude there is a significant difference in means for undergraduate and graduate rent. We can conclude there is a significant difference in means for undergraduate and graduate rent.

Respuesta :

Answer:

(a) 99% Confidence interval =  [ -230.11 , 29.11 ]

(b) We cannot conclude there is a significant difference in means for undergraduate and graduate rent.

Step-by-step explanation:

We are given the Monthly rent paid by undergraduates and graduate students.

Undergraduate Student Rents (n = 10) : 760, 770, 890, 660, 730, 790, 790, 690, 1,060, 680

Graduate Student Rents (n = 12) : 1,080, 920, 930, 880, 720, 920, 740, 830, 960, 880, 860, 870

Firstly let [tex]X_1bar[/tex] = Sample mean of Undergraduate Student Rents

                          = Sum of all rent values ÷ n = 782

[tex]s_1^{2}[/tex] = variance of Undergraduate Student Rents = [tex]\frac{\sum (X_1-X_1bar)^{2} }{n-1}[/tex] = 14018

[tex]X_2bar[/tex] = Sample mean of Graduate Student Rents = 882.5

[tex]s_2^{2}[/tex] = variance of Graduate Student Rents = [tex]\frac{\sum (X_2-X_2bar)^{2} }{n-1}[/tex] = 9111.4

The pivotal quantity used here for confidence interval is;

                         [tex]\frac{(X_1bar -X_2bar) - (\mu_1-\mu_2)}{s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2} } }[/tex] ~ [tex]t_n__1+n_2-2[/tex]

where,

P(-2.845 < [tex]t_2_0[/tex] < 2.845) = 0.99

P(-2.845 < [tex]\frac{(X_1bar -X_2bar) - (\mu_1-\mu_2)}{s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2} } }[/tex] < 2.845) = 0.99

P(-2.845*[tex]s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}[/tex]<[tex](X_1bar -X_2bar) - (\mu_1-\mu_2)[/tex]<2.845*[tex]s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}[/tex] ) = 0.99

P([tex](X_1bar -X_2bar)[/tex] - 2.845*[tex]s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}[/tex] < [tex](\mu_1-\mu_2)[/tex] < [tex](X_1bar -X_2bar)[/tex] + 2.845*[tex]s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}[/tex] ) = 0.99

99% Confidence interval for [tex](\mu_1-\mu_2)[/tex] =

[ [tex](X_1bar -X_2bar)[/tex] - 2.845*[tex]s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}[/tex] , [tex](X_1bar -X_2bar)[/tex] + 2.845*[tex]s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}[/tex] ]

[(782 - 882.5) - 2.845*[tex]106.4\sqrt{\frac{1}{10}+\frac{1}{12}[/tex] , (782 - 882.5) + 2.845*[tex]106.4\sqrt{\frac{1}{10}+\frac{1}{12}[/tex] ]

 =  [ -230.11 , 29.11 ]

(b) After seeing the 99% confidence interval for the difference of mean monthly rent paid by undergraduates and graduate students, we cannot conclude that there is a significant difference in means for undergraduate and graduate rent because in the above interval 0 lies in between them .

                 

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