MAT312 Excel Lab #2 – Measuring Quality with Control Charts

MAT312 Excel Lab #2 – Measuring Quality with Control ChartsNOTE: You need to use the Excel functions/tools for any calculations rather than just
typing numbers into the cells. Please review Excel tutorial video “Constructing a Control
Chart using Line Graph Tool” located in Resources, along with the examples in Chapter 7,
section 5, and your ALEKS assignment before attempting the lab.
Paint manufacturing is a $53 billion industry in the US. For this assignment, you have
been asked to conduct quality control for a manufacturing company. One of their
products is paint, sold in 4-liter cans. While the cans are filled on an assembly line with
an automatic valve, there were some reports of significant variation in the amounts.
While some variation is expected, you have been tasked to see if this is just by chance,
or if the machine is operating outside of normal quality control limits.
Part 1
The Excel Lab #2 Data File Download Excel Lab #2 Data Filehas the results of the five
random samples taken each day over the course of 25 days. First, you will need to use
Excel functions to complete the four columns necessary to generate an x-bar chart. Then
use Excel to generate the x-bar chart itself.
Part 2
You will need to write up a brief report to submit to the executive board. This should
include a copy of your x-bar chart, a discuss of the three control chart rules (refer to
ALEKS) and the conclusions that you were able to make from your analysis.
You can find a sample report on page 268 in the textbook to see how a statistical report
can look.
Submit both your Excel file, and your report (as a word doc) through the assignment link
here in Canvas.
MAT312 Excel Labs – Scoring Rubric
MAT312 Excel Labs – Scoring Rubric
Criteria
This criterion is
linked to a
Learning
OutcomeExcel
File – Use of
Functions/Tools
(Must be
submitted as an
.xls or .xlsx file)*
This criterion is
linked to a
Learning
OutcomeExcel
File – Accuracy
of Data Analysis
Ratings
33.3 to >29.0 pts
Exemplary
• Values calculated
using Excel functions,
tools, cell references,
etc. • All required
analysis tasks
completed and
presented in Excel
Sheet(s) • All required
graphs generated within
Excel
33.3 to >29.0 pts
Exemplary
• Correct tests and
data analysis tools
used throughout •
All values
calculated
correctly • All
required graphs
accurately display
the correct results
29 to >25.0 pts
Developing
• Most values
calculated using Excel
functions, tools, cell
references, etc. • Some
necessary values are
just “typed” typed into
cells without utilizing
Excel functions
29 to >25.0 pts
Developing
• Correct tests and
data analysis tools
mostly used
throughout • Few
values calculated
incorrectly • All
required graphs
accurately display
the correct results,
but missing some
components
Pts
25 to >19.0 pts
Beginning
• Most necessary
values are just
“typed” into cells
without utilizing
Excel functions. •
Not all required
Excel tasks
completed.
19 to
>0 pts
Missing
25 to >19.0 pts
Beginning
• Many incorrect values
throughout • Incorrect
tests/techniques/tools
utilized in Excel • Graphs
not generated correctly, or
wrong graphs used
19 to
>0 pts
Missing
33.3 pts
33.3 pts
MAT312 Excel Labs – Scoring Rubric
Criteria
This criterion is
linked to a
Learning
OutcomeWritten
Report (Must be
submitted as a
PDF file)
Total Points: 100
Ratings
33.4 to >29.0 pts
Exemplary
• Report written as a
professional style report,
not just a list or outline of
tasks for a project. (similar
to the sample reports in the
textbook) • Appropriate
introduction and
conclusion • Statistical
analysis is accurate and
justified throughout • All
required tasks/questions
are discussed • All
necessary graphs/tables
are embedded effectively
29 to >25.0 pts
Developing
• Some portions of
the statistical
analysis missing
from the report •
Conclusion of stat
analysis not
effectively justified •
Not all necessary
graphs/tables
embedded within
report, or graphs are
not embedded, sized,
or labelled properly
Pts
25 to >19.0 pts
Beginning
• Report is just a
list or outline of
tasks completed. •
No necessary
graphs/tables. •
Conclusion of
statistical analysis
contradicts
statistical test
results.
19 to
>0 pts
Missing
33.4 pts
Student Name:
The data below was taken by a quality control manager to measure the exact amount of paint in the company’s 4-liter pain
references should be used to calculate and complete the four missing columns. These four columns should be used to gene
charts have to be actively linked to your excel data, not a copy/paste screenshot from somewhere. So that if a data value i
From a previous study, it’s known that σ = 0.25
Day
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
Obs 1
4.175
4.254
4.096
3.966
3.672
3.916
4.521
3.472
3.911
4.693
4.135
3.833
4.125
3.895
4.212
3.921
4.545
4.276
4.069
4.168
4.024
3.61
3.904
4.12
4.104
Obs 2
3.574
4.012
3.525
4.499
4.488
3.967
4.167
3.452
4.122
4.092
3.818
4.001
3.777
3.741
4.048
3.948
3.766
3.992
4.077
3.891
3.768
4.195
3.684
3.805
4.107
Obs 3
3.795
4.119
3.576
4.271
3.836
3.782
3.951
3.994
4.167
4.126
4.085
3.538
3.968
3.897
4.085
3.981
3.532
4.258
4.007
3.751
4.132
3.718
4.263
3.978
4.236
Obs 4
4.211
3.866
4.061
3.705
3.723
4.015
4.712
4.015
3.853
4.306
3.822
4.083
4.059
3.66
3.952
4.097
4.139
3.708
3.998
4.107
4.109
3.954
3.914
4.165
3.505
Use these columns for the x-bar chart
LCL
Center
x-bar (per day)
Obs 5
3.325
4.375
4.011
3.625
3.575
3.211
4.021
3.215
3.675
4.015
3.345
3.475
3.675
3.476
4.014
3.891
3.435
3.675
3.998
3.564
3.542
3.502
3.675
3.675
3.4
n the company’s 4-liter paint cans. Five samples were taken on each of 25 days. Excel functions and cell
umns should be used to generate your x-bar chart. Place you finished control chart in the spaces provided. These
ere. So that if a data value is changed, your control charts change with it.
r the x-bar chart
UCL
x-bar chart