A bank would like to study the waiting time of serving customers during the noon-to- 1 p.m. lunch period of their branches located at two places; in a commercial district of a city and in a residential area. Data are collected from a random sample of 20 customers, and the waiting time (in minutes) are recorded from both branches as follows: Commercial District Residential Area 4.21 5.55 3.02 5.13 4.77 9.66 5.90 8.02 5.79 8.73 2.34 3.54 3.20 4.50 6.10 3.82 8.01 8.35 6.68 5.64 At 1 percent significance level, can we conclude that the customers at branch which located in the residential area need to wait longer compared to the customers who entered bank branch in the

A bank would like to study the waiting time of serving customers during the noon-to- 1 p.m. lunch period of their branches located at two places; in a commercial district of a city and in a residential area. Data are collected from a random sample of 20 customers, and the waiting time (in minutes) are recorded from both branches as follows: Commercial District Residential Area 4.21 5.55 3.02 5.13 4.77 9.66 5.90 8.02 5.79 8.73 2.34 3.54 3.20 4.50 6.10 3.82 8.01 8.35 6.68 5.64 At 1 percent significance level, can we conclude that the customers at branch which located in the residential area need to wait longer compared to the customers who entered bank branch in the

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 30PPS

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Commercial District	Residential Area
4.21	5.55	3.02	5.13	4.77	9.66	5.90	8.02	5.79	8.73
2.34	3.54	3.20	4.50	6.10	3.82	8.01	8.35	6.68	5.64