1
9-1 Project: Bank
Staffing and Service
Optimization Analysis
Report
QSO 511
9-1 Project:
Bank Staffing and Service Optimization
Analysis Report
May 1, 2024
By: Siham Gomez
,2
9-1 Project: Bank
Staffing and Service
Optimization Analysis
Report
Identify and analyze any data anomalies:
Service 4: An outlier is seen when you see the data in a box plot for "Service 4." A data point
that substantially deviates from the dataset's median or typical values is called an outlier.
Service 5: In a similar vein, another outlier is visible when you create a box plot for "Service 5,"
signifying a data point that is distant from the median.
, 3
9-1 Project: Bank
Staffing and Service
Optimization Analysis
Report
Impact of the identified anomalies on the integrity of the data set:
The data's integrity is significantly impacted by the anomalies in "Service 4" and "Service 5".
How to do it is as follows:
1. Data Untidiness: These irregularities raise the possibility that these particular services' data
entry errors or recording problems occurred. These kinds of anomalies in the data can cause
errors and inconsistencies in the dataset.
2. Statistical Disorder: These anomalies have the potential to dramatically distort the statistical
measurements employed for analysis, such as mean and standard deviation, because they are far
from the median. This may result in judgments and conclusions that are false.
9-1 Project: Bank
Staffing and Service
Optimization Analysis
Report
QSO 511
9-1 Project:
Bank Staffing and Service Optimization
Analysis Report
May 1, 2024
By: Siham Gomez
,2
9-1 Project: Bank
Staffing and Service
Optimization Analysis
Report
Identify and analyze any data anomalies:
Service 4: An outlier is seen when you see the data in a box plot for "Service 4." A data point
that substantially deviates from the dataset's median or typical values is called an outlier.
Service 5: In a similar vein, another outlier is visible when you create a box plot for "Service 5,"
signifying a data point that is distant from the median.
, 3
9-1 Project: Bank
Staffing and Service
Optimization Analysis
Report
Impact of the identified anomalies on the integrity of the data set:
The data's integrity is significantly impacted by the anomalies in "Service 4" and "Service 5".
How to do it is as follows:
1. Data Untidiness: These irregularities raise the possibility that these particular services' data
entry errors or recording problems occurred. These kinds of anomalies in the data can cause
errors and inconsistencies in the dataset.
2. Statistical Disorder: These anomalies have the potential to dramatically distort the statistical
measurements employed for analysis, such as mean and standard deviation, because they are far
from the median. This may result in judgments and conclusions that are false.
