The following calendar-year information is taken from the December.docxcherry686017
The following calendar-year information is taken from the December 31, 2011, adjusted trial balance and other records of Azalea Company.
1. Each team member is to be responsible for computing one of the following amounts. You are not to duplicate your teammates' work. Get any necessary amounts from teammates. Each member is to explain the computation to the team in preparation for reporting to class.
a. Materials used.
b. Factory overhead.
c. Total manufacturing costs.
d. Total cost of goods in process.
e. Cost of goods manufactured.
2. Check your cost of goods manufactured with the instructor. If it is correct, proceed to part (3).
3. Each team member is to be responsible for computing one of the following amounts. You are not to duplicate your teammates' work. Get any necessary amounts from teammates. Each member is to explain the computation to the team in preparation for reporting to class.
a. Net sales.
b. Cost of goods sold.
c. Gross profit.
d. Total operating expenses.
e. Net income or loss before taxes.
CALCULATE T TEST
Calculate the “t” value for independent groups for the following data using the formula provided in the attached word document. Using the raw measurement data presented, determine whether or not there exists a statistically significant difference between the salaries of female and male human resource managers using the appropriate t-test. Develop a testable hypothesis, confidence level, and degrees of freedom. Report the required “t” critical values based on the degrees of freedom. Show calculations.
Answer
The null hypothesis tested is
H0: There is no significant difference between the average salaries of female and male human resource managers. (µ1= µ2)
The alternative hypothesis is
H1: There is significant difference between the average salaries of female and male human resource managers. (µ1≠ µ2)
The test statistic used is
12
12
2
~
NN
DM
MM
tt
S
+-
-
=
Where
22
1122
1212
(1)(1)
11
2
DM
NsNs
S
NNNN
éùéù
-+-
=+
êúêú
+-
ëûëû
Here M1 = 62,200, M2 = 63,700
s1 = 9330.95, s2 = 6912.95
N1 = 10, N2 = 10 (See the excel sheet)
Then,
(
)
(
)
22
(101)9330.95(101)6912.95
11
101021010
DM
S
éù
-+-
éù
=+
êú
êú
+-
ëû
êú
ëû
= 3672.267768
Therefore test statistic,
62,20063,700
3672.267768
t
-
=
= -0.408466946
Degrees of freedom = N1 + N2 – 2 = 10 + 10 – 2 = 18
Let the significance level be 0.05.
Rejection criteria: Reject the null hypothesis, if the calculated value of t is greater than the critical value of t at 0.05 significance level.
The critical values can be obtained from the student’s t tables with 18 d.f. at 0.05 significance level.
Upper critical value = 2.1
Lower critical value = -2.1
0
.
4
0
.
3
0
.
2
0
.
1
0
.
0
X
D
e
n
s
i
t
y
-
2
.
1
0
0
.
0
2
5
2
.
1
0
0
.
0
2
5
0
D
i
s
t
r
i
b
u
t
i
o
n
P
l
o
t
T
,
d
f
=
1
8
Conclusion: Fails to reject the null hypothesis. The sample does not provide enough evidence to support the claim that there is significant difference ...
The following calendar-year information is taken from the December.docxcherry686017
The following calendar-year information is taken from the December 31, 2011, adjusted trial balance and other records of Azalea Company.
1. Each team member is to be responsible for computing one of the following amounts. You are not to duplicate your teammates' work. Get any necessary amounts from teammates. Each member is to explain the computation to the team in preparation for reporting to class.
a. Materials used.
b. Factory overhead.
c. Total manufacturing costs.
d. Total cost of goods in process.
e. Cost of goods manufactured.
2. Check your cost of goods manufactured with the instructor. If it is correct, proceed to part (3).
3. Each team member is to be responsible for computing one of the following amounts. You are not to duplicate your teammates' work. Get any necessary amounts from teammates. Each member is to explain the computation to the team in preparation for reporting to class.
a. Net sales.
b. Cost of goods sold.
c. Gross profit.
d. Total operating expenses.
e. Net income or loss before taxes.
CALCULATE T TEST
Calculate the “t” value for independent groups for the following data using the formula provided in the attached word document. Using the raw measurement data presented, determine whether or not there exists a statistically significant difference between the salaries of female and male human resource managers using the appropriate t-test. Develop a testable hypothesis, confidence level, and degrees of freedom. Report the required “t” critical values based on the degrees of freedom. Show calculations.
Answer
The null hypothesis tested is
H0: There is no significant difference between the average salaries of female and male human resource managers. (µ1= µ2)
The alternative hypothesis is
H1: There is significant difference between the average salaries of female and male human resource managers. (µ1≠ µ2)
The test statistic used is
12
12
2
~
NN
DM
MM
tt
S
+-
-
=
Where
22
1122
1212
(1)(1)
11
2
DM
NsNs
S
NNNN
éùéù
-+-
=+
êúêú
+-
ëûëû
Here M1 = 62,200, M2 = 63,700
s1 = 9330.95, s2 = 6912.95
N1 = 10, N2 = 10 (See the excel sheet)
Then,
(
)
(
)
22
(101)9330.95(101)6912.95
11
101021010
DM
S
éù
-+-
éù
=+
êú
êú
+-
ëû
êú
ëû
= 3672.267768
Therefore test statistic,
62,20063,700
3672.267768
t
-
=
= -0.408466946
Degrees of freedom = N1 + N2 – 2 = 10 + 10 – 2 = 18
Let the significance level be 0.05.
Rejection criteria: Reject the null hypothesis, if the calculated value of t is greater than the critical value of t at 0.05 significance level.
The critical values can be obtained from the student’s t tables with 18 d.f. at 0.05 significance level.
Upper critical value = 2.1
Lower critical value = -2.1
0
.
4
0
.
3
0
.
2
0
.
1
0
.
0
X
D
e
n
s
i
t
y
-
2
.
1
0
0
.
0
2
5
2
.
1
0
0
.
0
2
5
0
D
i
s
t
r
i
b
u
t
i
o
n
P
l
o
t
T
,
d
f
=
1
8
Conclusion: Fails to reject the null hypothesis. The sample does not provide enough evidence to support the claim that there is significant difference ...
This paper is highlighted as the agile tasking simulations mitigation scenario that determines the handling method of various scenarios and the splicing
effect of certain developmental requirements primarily in the emulation of Ark Sciences and glass systems concepts. This paper has very good counsel for
risk mitigation techniques universally
This research paper explores the Effect of Organizational Justice dimensions (Distributive Justice, Procedural Justice, Interactional Justice) on Organizational Engagement in public sector banks of Pakistan: Mediating role of Work Engagement
Survey of Finance and Engineering Economics Presented byMoha.docxmattinsonjanel
Survey of Finance and Engineering Economics
Presented by
Mohammed Ali Alsendi
Nadia Mohammed Daabis
Instructor
Professor Wajeeh Elali
Time Value of Money
Time value of money refers to the concept that a dollar today is worth more than a dollar tomorrow.
Case study
NATASHA, 30 years old and has Bachelor of science degree in computer science.
Working as Tier 2 field service representative for a telephony corporation located in Seattle, Washington.
She has $75,000 that recently inherited from her aunt, and invested this money in 10 years treasury bond.
Terms of Common Inputs
Current Salary $38,000/-
She don’t expect to lose any income during the Certification or while she earning her MBA.
In both cases, she expect her salary differential will also grow at a rate of 3% per year, for as long as she keep working.
Keep using the interest rate as discount rate for the remainder of the problem
CAMPARISME SUMMARYOption 1 "Network Design"Option 2 "MBA"PositionTier 3Managerial PositionCost$5,000 $25,000 / YearPeriod1 year3 years Salery Increasment$10,000 $20,000 Payment DueEnd of 1 yearBegin of each yearRiskAbove 80% on an exam at end of courseEvening program which will take 3 years to complete
Summary
Timeline
Option 1
Option 2
t0
t1
t2
t3
$38,000
$39,140
$50,614.20
$52,132.62
$38,000 x 3%
($39,140+$10,000) x 3%
$50,614.20 x 3%
($5,000)
($25,000)
($25,000)
($25,000)
$39,140
$40,314.20
$41,523.626
$38,000 x 3%
$39,140x 3%
$39,140 x 3%
t4
$53,696.59
$63,369.33
($41,523.626+$20,000) x 3%
$52,132.62x 3%
Timeline Graph
Current Sutation 38000 39140 40314.200000000004 41523.626000000004 42769.334780000005 44052.414823400009 45373.987268102013 46735.206886145075 Certificate 38000 39140 50614.200000000004 52132.626000000004 53696.604780000009 55307.50292340001 56966.728011102015 58675.729851435077 MBA 38000 39140 40314.200000000004 62123.625999999997 63987.334779999997 65906.954823399996 67884.163468101993 69920.688372145058
Yearly Income
Treasury Bond
Amount $75,000
Period 10 years
Rate 3.52% (1st June, 2009)*
A marketable, fixed-interest government debt security with a maturity of more than 10 years. Treasury bond make interest payment annualy and the income that holders receive is only taxed the federal level.
t0
t1
t2
t10
($75,000)
Treasury Bond
$9027.19
$9027.19
$9027.19
…..
PVA(ordinary) = PMT 1 – (1+k)-n
K
$75,000 = x 1 – (1+0.0352)-10
0.0352
PMT = $9027.190
[ ]
[ ]
C ...
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
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or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
Twin deficits: An empirical analysis on the relationship between budget defic...IFPRIMaSSP
The twin deficits hypothesis asserts that a reduction in the budget deficit causes a reduction in the current account deficit. The Keynesian hypothesis proposes that the causality runs from budget deficits to current account deficits. However; conflicting theories have been proposed, arguing that possibility exists of reverse causality from current account to budget deficit and indeed that there is no relationship between the two deficits. Proponents of the Ricardian equivalence hypothesis suggest the absence of any relationship between the current account deficit and the budget deficit. This study uses the Autoregressive Distributed Lag method of co integration to test the three proposed hypotheses using annual time series data of Malawi over the period 1970 to 2012. Results from the analysis found a positive significant long run relationship between the budget deficit and the current account deficit. Implying that in the long run budget deficit does influence the current account deficit, asserting that the Keynesian proposition holds in Malawi. No evidence was found in support of the reverse causality or the Ricardian equivalence hypothesis.
InstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docxdirkrplav
InstructionDue Date: 6 pm on October 28 (Wed)
Part IProbability and Sampling Distributions1.Thinking about probability statements. Probability is measure of how likely an event is to occur. Match one of probabilities that follow with each statement of likelihood given (The probability is usually a more exact measure of likelihood than is the verbal statement.)Answer0 0.01 0.3 0.6 0.99 1(a) This event is impossible. It can never occur.(b) This event is certain. It will occur on every trial.(c) This event is very unlikely, but it will occur once in a while in a long sequence of trials.(d) This event will occur more often that not.2. Spill or Spell? Spell-checking software catches "nonword errors" that result in a string of letters that is not a word, as when "the" is typed as "the." When undergraduates are asked to write a 250-word essay (without spell-checking), the number X of nonword errors has the following distribution:Value of X01234Probability0.10.20.30.30.1(a) Check that this distribution satisfies the two requirements for a legitimate assignment of probabilities to individual outcomes.(b) Write the event "at least one nonword error" in term of X (for example, P(X >3)). What is the probability of this event?(c) Describe the event X ≤ 2 in words. What is its probability? 3. Discrete or continuous? For each exercise listed below, decide whether the random variable described is discrete or continuous and explains the sample space.(a) Choose a student in your class at random. Ask how much time that student spent studying during the past 24 hours.(b) In a test of a new package design, you drop a carton of a dozen eggs from a height of 1 foot and count the number of broken eggs.(c) A nutrition researcher feeds a new diet to a young male white rat. The response variable is the weight (in grams) that the rat gains in 8 weeks.4. Tossing Coins(a) The distribution of the count X of heads in a single coin toss will be as follows. Find the mean number of heads and the variance for a single coin toss.Number of Heads (Xi)01mean:Probability (Pi)0.50.5variance:(b) The distribution of the count X of heads in four tosses of a balanced coin was as follows but some missing probabilities. Fill in the blanks and then find the mean number of heads and the variance for the distribution with assumption that the tosses are independent of each other.Number of Heads (Xi)01234mean:Probability (Pi)0.06250.0625variance:(c) Show that the two results of the means (i.e. single toss and four tosses) are related by the addition rule for means. (d) Show that the two results of the variances (i.e. single toss and four tosses) are related by the addition rule for variances (note: It was assumed that the tosses are independent of each other). 5. Generating a sampling distribution. Let's illustrate the idea of a sampling distribution in the case of a very small sample from a very small .
This paper is highlighted as the agile tasking simulations mitigation scenario that determines the handling method of various scenarios and the splicing
effect of certain developmental requirements primarily in the emulation of Ark Sciences and glass systems concepts. This paper has very good counsel for
risk mitigation techniques universally
This research paper explores the Effect of Organizational Justice dimensions (Distributive Justice, Procedural Justice, Interactional Justice) on Organizational Engagement in public sector banks of Pakistan: Mediating role of Work Engagement
Survey of Finance and Engineering Economics Presented byMoha.docxmattinsonjanel
Survey of Finance and Engineering Economics
Presented by
Mohammed Ali Alsendi
Nadia Mohammed Daabis
Instructor
Professor Wajeeh Elali
Time Value of Money
Time value of money refers to the concept that a dollar today is worth more than a dollar tomorrow.
Case study
NATASHA, 30 years old and has Bachelor of science degree in computer science.
Working as Tier 2 field service representative for a telephony corporation located in Seattle, Washington.
She has $75,000 that recently inherited from her aunt, and invested this money in 10 years treasury bond.
Terms of Common Inputs
Current Salary $38,000/-
She don’t expect to lose any income during the Certification or while she earning her MBA.
In both cases, she expect her salary differential will also grow at a rate of 3% per year, for as long as she keep working.
Keep using the interest rate as discount rate for the remainder of the problem
CAMPARISME SUMMARYOption 1 "Network Design"Option 2 "MBA"PositionTier 3Managerial PositionCost$5,000 $25,000 / YearPeriod1 year3 years Salery Increasment$10,000 $20,000 Payment DueEnd of 1 yearBegin of each yearRiskAbove 80% on an exam at end of courseEvening program which will take 3 years to complete
Summary
Timeline
Option 1
Option 2
t0
t1
t2
t3
$38,000
$39,140
$50,614.20
$52,132.62
$38,000 x 3%
($39,140+$10,000) x 3%
$50,614.20 x 3%
($5,000)
($25,000)
($25,000)
($25,000)
$39,140
$40,314.20
$41,523.626
$38,000 x 3%
$39,140x 3%
$39,140 x 3%
t4
$53,696.59
$63,369.33
($41,523.626+$20,000) x 3%
$52,132.62x 3%
Timeline Graph
Current Sutation 38000 39140 40314.200000000004 41523.626000000004 42769.334780000005 44052.414823400009 45373.987268102013 46735.206886145075 Certificate 38000 39140 50614.200000000004 52132.626000000004 53696.604780000009 55307.50292340001 56966.728011102015 58675.729851435077 MBA 38000 39140 40314.200000000004 62123.625999999997 63987.334779999997 65906.954823399996 67884.163468101993 69920.688372145058
Yearly Income
Treasury Bond
Amount $75,000
Period 10 years
Rate 3.52% (1st June, 2009)*
A marketable, fixed-interest government debt security with a maturity of more than 10 years. Treasury bond make interest payment annualy and the income that holders receive is only taxed the federal level.
t0
t1
t2
t10
($75,000)
Treasury Bond
$9027.19
$9027.19
$9027.19
…..
PVA(ordinary) = PMT 1 – (1+k)-n
K
$75,000 = x 1 – (1+0.0352)-10
0.0352
PMT = $9027.190
[ ]
[ ]
C ...
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
Twin deficits: An empirical analysis on the relationship between budget defic...IFPRIMaSSP
The twin deficits hypothesis asserts that a reduction in the budget deficit causes a reduction in the current account deficit. The Keynesian hypothesis proposes that the causality runs from budget deficits to current account deficits. However; conflicting theories have been proposed, arguing that possibility exists of reverse causality from current account to budget deficit and indeed that there is no relationship between the two deficits. Proponents of the Ricardian equivalence hypothesis suggest the absence of any relationship between the current account deficit and the budget deficit. This study uses the Autoregressive Distributed Lag method of co integration to test the three proposed hypotheses using annual time series data of Malawi over the period 1970 to 2012. Results from the analysis found a positive significant long run relationship between the budget deficit and the current account deficit. Implying that in the long run budget deficit does influence the current account deficit, asserting that the Keynesian proposition holds in Malawi. No evidence was found in support of the reverse causality or the Ricardian equivalence hypothesis.
InstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docxdirkrplav
InstructionDue Date: 6 pm on October 28 (Wed)
Part IProbability and Sampling Distributions1.Thinking about probability statements. Probability is measure of how likely an event is to occur. Match one of probabilities that follow with each statement of likelihood given (The probability is usually a more exact measure of likelihood than is the verbal statement.)Answer0 0.01 0.3 0.6 0.99 1(a) This event is impossible. It can never occur.(b) This event is certain. It will occur on every trial.(c) This event is very unlikely, but it will occur once in a while in a long sequence of trials.(d) This event will occur more often that not.2. Spill or Spell? Spell-checking software catches "nonword errors" that result in a string of letters that is not a word, as when "the" is typed as "the." When undergraduates are asked to write a 250-word essay (without spell-checking), the number X of nonword errors has the following distribution:Value of X01234Probability0.10.20.30.30.1(a) Check that this distribution satisfies the two requirements for a legitimate assignment of probabilities to individual outcomes.(b) Write the event "at least one nonword error" in term of X (for example, P(X >3)). What is the probability of this event?(c) Describe the event X ≤ 2 in words. What is its probability? 3. Discrete or continuous? For each exercise listed below, decide whether the random variable described is discrete or continuous and explains the sample space.(a) Choose a student in your class at random. Ask how much time that student spent studying during the past 24 hours.(b) In a test of a new package design, you drop a carton of a dozen eggs from a height of 1 foot and count the number of broken eggs.(c) A nutrition researcher feeds a new diet to a young male white rat. The response variable is the weight (in grams) that the rat gains in 8 weeks.4. Tossing Coins(a) The distribution of the count X of heads in a single coin toss will be as follows. Find the mean number of heads and the variance for a single coin toss.Number of Heads (Xi)01mean:Probability (Pi)0.50.5variance:(b) The distribution of the count X of heads in four tosses of a balanced coin was as follows but some missing probabilities. Fill in the blanks and then find the mean number of heads and the variance for the distribution with assumption that the tosses are independent of each other.Number of Heads (Xi)01234mean:Probability (Pi)0.06250.0625variance:(c) Show that the two results of the means (i.e. single toss and four tosses) are related by the addition rule for means. (d) Show that the two results of the variances (i.e. single toss and four tosses) are related by the addition rule for variances (note: It was assumed that the tosses are independent of each other). 5. Generating a sampling distribution. Let's illustrate the idea of a sampling distribution in the case of a very small sample from a very small .
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
4. Regression Coefficients
b0= 141.35
b1= 24.775
b2= 19.075
b3= 9.925
b4= 16.775
b5= -0.325
b6= 1.375
b7= -1.825
The Regression Coefficient is the constant b in the regression equation.
5. INTERACTIONS GRAPHS AND INTERPRETATION
Credit History Low High
Good (-) 30.8 56.4
Fair(+) 49.8 142
0
100
200
Low High
AxisTitle
Credit History
High Low Chart
Good (-) Fair(+)
Mild Interaction – Its better to have
Positive credit which is higher than
negative credit which is low.
6. Interactions graphs and interpretation
Mortgage Size Low High
<$500,000 30.8 69.4
>$500,000 41.8 142
Mortgage Size Low High
<$500,000 30.8 69.4
>$500,000 41.8 142
30.8
69.441.8
142
0
100
200
300
Low High
Mortgage
<$500,000 >$500,000
Mild Interaction – The mortgage
that is greater than $500,000 has
the highest approval times. It is
better to have the higher approval
time.
7. Interactions graphs and interpretation
Region Low High
Western 54.6 142
Eastern 30.8 120.6
0
100
200
300
Low High
Region
Western Eastern
Mild Interaction – The eastern region
has the highest approval time. It is
better to be in the eastern region for
the mortgage approval times.
8. INTERACTIONS GRAPHS AND INTERPRETATION
Interactions can be synergistic or antagonistic:
Synergistic interaction is positive.
Two variables involved produce an effect that is larger than would be predicted if the effects of
the two were additive.
Antagonistic Interaction is negative.
The effects of the two factors is smaller than would be predicted by the additive effects of the
two factors.
The easiest way to interpret interactions is to construct a plot of the averages of the four groups.
Researched by Hoerl and Snee (2012).
9. INTERACTIONS GRAPHS AND INTERPRETATION
Synergy
Stems from the idea that integration involves unity and wholeness. Through this unity
synergy can be achieved.
Synergy manifests itself through a positive interaction effect.
Antagonistic
The opposite of synergy
Exhibits negative returns.
Failure to achieve consistency.
Researched by Kolsarici, C., & Vakratsas, D. (2018).
10. ANALYSIS OF THE SAMPLE SIZE
Objective – Agreement must be obtained to ensure success.
Output variables Identify the output or measure the process performance.
Identify the levels of input to be studied.
Verify the available resources for the size of the experiment.
Time – the amount of time for the number of tests performed and when the results are needed.
Funds – How much money to spend depends on the amount spent on personnel and the
experimentation. No more than 20% should be spent on the first experiment.
.
11. ANALYSIS OF THE SAMPLE SIZE
Replication - replicating some or all of the experiment is important as it
increases the sensitivity of the experiment. By doing so assists us in
detecting smaller differences.
Randomization – Running a test in an experiment in a random order. This
guards against any unknown changes that may have occurred during the
conduct of the experiment.
The planning t the results f the test. Will the data be collected electronically or manually.
Researched by Hoerl and Snee (2012).
12. VARIABLES OF INTEREST TO MEASURE
AND STUDY
Annual Salary
Marital Status
Criminal Background Check
Debt to Earnings Ratio
13. INTERACTIONS BETWEEN DOE WITH 3
FACTOR EXPERIMENT
Factorial experiments enable us to identify interactions and is a three-factor experiment. The three possible
two factor interactions are (x1x2, x1x3, x2x3) and one three factor interaction (x1x2x3). Although they are rarely
important in real applications, a three factor interaction would mean that the interaction of x1 and x2 is
dependent on the level of x3 .
Researched by Hoerl and Snee (2012).
14. RECOMMENDATIONS AND
CONCLUSION OF THE DOE
Use the annual salary, marital status, background checks and debt to earnings ratio instead of
just the credit check, region and mortgage size.
Use other sample times for the approval rate because the interaction effect charts have mild
interaction instead of strong interaction.
Use different sample numbers because the effect numbers, which are the difference between
the avg(+) minus the avg(-), are below 20 and some are negative numbers.
15. REFERENCES
Singleton, C., Gilman, J., Rollit, J., Zhang, K., Parker, D. A., & Love, J. (2019). A design of experiments approach for the rapid
formulation of a chemically defined medium for metabolic profiling of industrially important microbes.
PLoS ONE, 14(6), 1–18. https://doi.org/10.1371/journal.pone.0218208
Hoerl, R., Snee, Ron. (2012) Statistical Thinking, Improving Business Performance. Hoboken, New Jersey: John Wiley & Sons, Inc.
Kolsarici, C., & Vakratsas, D. (2018). Synergistic, Antagonistic, and Asymmetric Media Interactions. Journal of Advertising,
47(3), 282–300. https://doi.org/10.1080/00913367.2018.1471757