There are two credit unions in the City of Waco that are comparing their two processes in servicing customers during the rush hour. The processes are very different in nature and the credit union bank managers are wanting to determine if there is a difference in wait time in minutes for the customers in each location at a 99.00% confidence interval/level or a .01 signficance level. A random sample of customer wait times in minutes are gathered during rush hour and that sample is listed below: check figure:t Stat =(4.1343) Waiting Time CU1CU2 4.219.66 5.555.90 3.028.02 5.135.79 4.778.73 2.343.82 3.548.01 3.208.35 4.5010.49 6.106.68 0.385.64 5.124.08 6.466.17 6.199.91 3.795.47 check figure t Stat =(4.1343)Waiting TimeCU1CU29.665.904.215.553.028.025.135.794.778.732.343.823.548.013.208.354.5010.496.686.100.385.645.124.086.176.466.199.913.795.47 What will be the hypothesis in this study?What will be the area of rejection in this study using the t Stat critical value?What will be the area of rejection in this study using the p critical value?Create the statement of rejection or not-rejection based upon the t Stat value and t Stat critical valueCreate the statement of rejection or not-rejection based upon the p value and p critical valueWhat will be the conclusion of this study?

Given that level of significance=0.1

Answered: unions in the City of Waco that are…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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There are two credit unions in the City of Waco that are comparing
their two processes in servicing customers during the rush hour.
The processes are very different in nature and the credit union
bank managers are wanting to determine if there is a difference
in wait time in minutes for the customers in each location at a 99.00% confidence
interval/level or a .01 signficance level.

A random sample of customer wait times in minutes are gathered during rush hour
and that sample is listed below:

check figure:	t Stat =	(4.1343)

Waiting Time
CU1	CU2
4.21	9.66
5.55	5.90
3.02	8.02
5.13	5.79
4.77	8.73
2.34	3.82
3.54	8.01
3.20	8.35
4.50	10.49
6.10	6.68
0.38	5.64
5.12	4.08
6.46	6.17
6.19	9.91
3.79	5.47

check figure t Stat =
(4.1343)
Waiting Time
CU1
CU2
9.66
5.90
4.21
5.55
3.02
8.02
5.13
5.79
4.77
8.73
2.34
3.82
3.54
8.01
3.20
8.35
4.50
10.49
6.68
6.10
0.38
5.64
5.12
4.08
6.17
6.46
6.19
9.91
3.79
5.47

What will be the hypothesis in this study?
What will be the area of rejection in this study using the t Stat critical value?
What will be the area of rejection in this study using the p critical value?
Create the statement of rejection or not-rejection based upon the t Stat value and t Stat critical value
Create the statement of rejection or not-rejection based upon the p value and p critical value
What will be the conclusion of this study?

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