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Monthly rent paid by undergraduates and graduate students. Undergraduate Student Rents (n = 10) 870 710 730 810 770 830 820 660 980 700 Graduate Student Rents (n = 12) 1,150 740 910 920 860 780 910 820 940 920 830 880 Click here for the Excel Data File (a) Construct a 90 percent confidence interval for the difference of mean monthly rent paid by undergraduates and graduate students, using the assumption of unequal variances with Welch's formula for d.f. (Do not round the intermediate calculations. Round your final answers to 3 decimal places. Negative values should be indicated by a minus sign.) The 90% confidence interval is from ]to (b) What do you conclude? O We can conclude there is a significant difference in means for undergraduate and graduate rent. O We cannot conclude there is a significant difference in means for undergraduate and graduate rent.

Monthly rent paid by undergraduates and graduate students. Undergraduate Student Rents (n = 10) 870 710 730 810 770 830 820 660 980 700 Graduate Student Rents (n = 12) 1,150 740 910 920 860 780 910 820 940 920 830 880 Click here for the Excel Data File (a) Construct a 90 percent confidence interval for the difference of mean monthly rent paid by undergraduates and graduate students, using the assumption of unequal variances with Welch's formula for d.f. (Do not round the intermediate calculations. Round your final answers to 3 decimal places. Negative values should be indicated by a minus sign.) The 90% confidence interval is from ]to (b) What do you conclude? O We can conclude there is a significant difference in means for undergraduate and graduate rent. O We cannot conclude there is a significant difference in means for undergraduate and graduate rent.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Monthly rent paid by undergraduates and graduate students. Undergraduate Student Rents (n = 10) 810 770 870 710 730 830 820 660 980 700 Graduate Student Rents (n = 12) 1,150 740 910 920 860 780 910 820 940 920 830 880 Click here for the Excel Data File (a) Construct a 90 percent confidence interval for the difference of mean monthly rent paid by undergraduates and graduate students, using the assumption of unequal variances with Welch's formula for d.f. (Do not round the intermediate calculations. Round your final answers to 3 decimal places. Negative values should be indicated by a minus sign.) The 90% confidence interval is from to (b) What do you conclude? O We can conclude there is a significant difference in means for undergraduate and graduate rent. O We cannot conclude there is a significant difference in means for undergraduate and graduate rent.
Transcribed Image Text:Monthly rent paid by undergraduates and graduate students. Undergraduate Student Rents (n = 10) 810 770 870 710 730 830 820 660 980 700 Graduate Student Rents (n = 12) 1,150 740 910 920 860 780 910 820 940 920 830 880 Click here for the Excel Data File (a) Construct a 90 percent confidence interval for the difference of mean monthly rent paid by undergraduates and graduate students, using the assumption of unequal variances with Welch's formula for d.f. (Do not round the intermediate calculations. Round your final answers to 3 decimal places. Negative values should be indicated by a minus sign.) The 90% confidence interval is from to (b) What do you conclude? O We can conclude there is a significant difference in means for undergraduate and graduate rent. O We cannot conclude there is a significant difference in means for undergraduate and graduate rent.
D E Monthly Rents for College Students А Undergraduate Graduate 810 1150 770 910 870 920 710 860 730 780 830 910 820 740 660 820 980 940 700 920 830 880 Note: Data are for share of rent if there are multiple occupants in one living facility.
Transcribed Image Text:D E Monthly Rents for College Students А Undergraduate Graduate 810 1150 770 910 870 920 710 860 730 780 830 910 820 740 660 820 980 940 700 920 830 880 Note: Data are for share of rent if there are multiple occupants in one living facility.
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