Suppose that the average waiting time for a patient at a physician's office is just over...

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Suppose that the average waiting time for a patient at aphysician's office is just over 29 minutes. In order to address theissue of long patient wait times, some physicians' offices areusing wait-tracking systems to notify patients of expected waittimes. Patients can adjust their arrival times based on thisinformation and spend less time in waiting rooms. The followingdata show wait times (minutes) for a sample of patients at officesthat do not have a wait-tracking system and wait times for a sampleof patients at offices with a wait-tracking system.

Without Wait-
Tracking System
With Wait-Tracking
System
2414
609
1033
2210
3418
4730
1212
1217
279
303
(a)Considering only offices without a wait-trackingsystem, what is the z-score for the 10th patient in thesample (wait time = 30 minutes)?
If required, round your intermediate calculations and finalanswer to two decimal places.
z-score =  
(b)Considering only offices with a wait-tracking system,what is the z-score for the 6th patient in the sample(wait time = 30 minutes)?
If required, round your intermediate calculations and finalanswer to two decimal places.
z-score =  
How does this z-score compare with thez-score you calculated for part (a)?
(c)Based on z-scores, do the data for offices without await-tracking system contain any outliers?
Based on z-scores, do the data for offices with await-tracking system contain any outliers?

Answer & Explanation Solved by verified expert
3.9 Ratings (517 Votes)

Solution:

In excel get the mean and standard deviation

Data>Data analysis>Descriptive statistics

we get

Without Wait-Tracking System With-WaitTracking System
Mean 27.8 Mean 15.5
Standard Deviation 16.03329868 Standard Deviation 9.489761
Sum 278 Sum 155
Count 10 Count 10

Solution(a)

z=x-mean/sd

z=30-27.8/16.03329868

z=0.14

z score=0.14

Solution(b)

z=x-mean/sd

z=30-15.5/9.489761

z=14.5/9.489761

z= 1.527963

z=1.53

z score=1.53

z score for with wait tracking system is high compared to z score for without wait tracking system.

Solution(b)

with z score we can find outliers using z scores

outliers <-3 or outlier above 3

Without Wait-Tracking System mean stddev X-mean Z-x-mean/sd
24 27.8 16.0333 -3.8 -0.23701
60 27.8 16.0333 32.2 2.00832
10 27.8 16.0333 -17.8 -1.11019
22 27.8 16.0333 -5.8 -0.36175
34 27.8 16.0333 6.2 0.386695
47 27.8 16.0333 19.2 1.197508
12 27.8 16.0333 -15.8 -0.98545
12 27.8 16.0333 -15.8 -0.98545
27 27.8 16.0333 -0.8 -0.0499
30 27.8 16.0333 2.2 0.137214
With-WaitTracking System Mean Standard deviation X-mean z=x-mean/sd
14 15.5 9.489761 -1.5 -0.15807
9 15.5 9.489761 -6.5 -0.68495
33 15.5 9.489761 17.5 1.844093
10 15.5 9.489761 -5.5 -0.57957
18 15.5 9.489761 2.5 0.263442
30 15.5 9.489761 14.5 1.527963
12 15.5 9.489761 -3.5 -0.36882
17 15.5 9.489761 1.5 0.158065
9 15.5 9.489761 -6.5 -0.68495
3 15.5 9.489761 -12.5 -1.31721

no outliers  for offices without a wait-tracking system as no z value is below -3 or above 3

no outliers  for offices with a wait-tracking system as no z value is below -3 or above 3


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