A questionnaire was distributed to students from various programs at a university to collect data about their demographics, interests, and opinions on marketing campaigns. The questionnaire collected information on gender, program of study, GPA, and interests of respondents. Most students responded positively to the questions regarding whether they would like to try the products, buy them if seen in a store, and actively seek them out. Analysis of the responses showed most students agreed or were neutral that the marketing campaign was attractive, well-executed, and beneficial for society.
Mat 510 Enhance teaching / snaptutorial.comBaileya19
For more classes visit
www.snaptutorial.com
MAT 510 Final Exam Set 1
Question 1
Improvement is needed for an organization to survive because:
Question 2
The Statistical Thinking Strategy has significant commonality with the scientific method. Which of the
MAT 510 Exceptional Education - snaptutorial.comDavisMurphyB11
For more classes visit
www.snaptutorial.com
MAT 510 Final Exam Set 1
Question 1
Improvement is needed for an organization to survive because:
Question 2
The usage of subliminal messages in advertising: an empirical investigation ...Target Research
L’obiettivo di questa analisi è investigare se i messaggi subliminali possono avere un effetto sulle valutazioni di una pubblicità, sul brand, sull’intenzione all’acquisto e sulla willingness-to-pay. L’esperimento è stato condotto su due pubblicità, una di un gin e una di un cheeseburger. Per ogni pubblicità, sono state create due versioni, una con messaggio subliminale sessuale e una senza alcun messaggio subliminale. La differenza nelle valutazioni delle due versioni della stessa pubblicità ha rivelato l’efficacia o meno dei messaggi subliminali.
My presentation in HBaseCon 2013 entitled "Using Apache HBase for Large Matrices". This describes an HBase backed Mahout matrix, as input/output to machine learning algorithms
Mat 510 Enhance teaching / snaptutorial.comBaileya19
For more classes visit
www.snaptutorial.com
MAT 510 Final Exam Set 1
Question 1
Improvement is needed for an organization to survive because:
Question 2
The Statistical Thinking Strategy has significant commonality with the scientific method. Which of the
MAT 510 Exceptional Education - snaptutorial.comDavisMurphyB11
For more classes visit
www.snaptutorial.com
MAT 510 Final Exam Set 1
Question 1
Improvement is needed for an organization to survive because:
Question 2
The usage of subliminal messages in advertising: an empirical investigation ...Target Research
L’obiettivo di questa analisi è investigare se i messaggi subliminali possono avere un effetto sulle valutazioni di una pubblicità, sul brand, sull’intenzione all’acquisto e sulla willingness-to-pay. L’esperimento è stato condotto su due pubblicità, una di un gin e una di un cheeseburger. Per ogni pubblicità, sono state create due versioni, una con messaggio subliminale sessuale e una senza alcun messaggio subliminale. La differenza nelle valutazioni delle due versioni della stessa pubblicità ha rivelato l’efficacia o meno dei messaggi subliminali.
My presentation in HBaseCon 2013 entitled "Using Apache HBase for Large Matrices". This describes an HBase backed Mahout matrix, as input/output to machine learning algorithms
Presentations with Polls - Meetoo Success TipsStephen Dann
Tips and Tricks on using the Meetoo live polling app to make
meetings and classes more effective. It really improves decision
making, learning and engagement tor all attendees. Check out www.meetoo.com for more.
Meta-Analyses in Experimentation: The Whats and HowsVWO
Ruben shows a step-by-step method of using research and experimentation to combine all learnings into behavioral insights. With this method, you will not only improve your research and conversion rate optimization practices but actually learn and provide a much more pleasant journey for your potential customers! This will undoubtedly help you increase conversion rates and become a lot more successful in your job.
A study of graduate & post graduate students regarding their career plansVaibhav Vaidya
Its a study done about career plans of students.
To study the trend of higher education.
Google form was made for collection of data and was shared with different field of students
The analysis of the data has been done using excel statistical sof.docxmattinsonjanel
The analysis of the data has been done using excel statistical software. First, the demand and popularity of each product has been analyzed using pie charts. The extracts from excel shows the distributions of the three product lines across age, sex and education. The three types of bicycles have analyzed in terms of the number of customers using them, sex, and education levels.
The low product line has the highest demand as 80 customers selected, followed by middle product line with 61 customers and finally upper product line. The following extracts shows the demand of the three bicycles on the basis of number of customers, sex, and education.
Analyzing the popularity and demand for three bicycles using sex showed that males have a higher proportion of using bicycles than females. This is show in the following extract and chart.
Also, the level of education determines the use of bicycles. The demand for bicycles varies across the different levels of education. The analysis revealed that non-college high school diploma do not use bicycles. The following pie chart shows the proportion of each education level with respect to the use of bicycles.
Education
Number of Customers
Percentage
Non-High School Diploma
0
0%
High School Diploma
2
1%
Some-College -level work
67
37%
College Degree
97
54%
Graduate Degree at work
14
8%
However, the use of the three products line varied greatly with the age of customers. The following frequency distribution table shows the age group of customers and the frequency of using the three products line.
Bin
Frequency
Cumulative %
Bin
Frequency
Cumulative %
20
10
5.56%
25
62
34.44%
25
62
40.00%
30
45
59.44%
30
45
65.00%
35
32
77.22%
35
32
82.78%
40
16
86.11%
40
16
91.67%
20
10
91.67%
45
8
96.11%
45
8
96.11%
50
7
100.00%
50
7
100.00%
More
0
100.00%
More
0
100.00%
As it can be seen from the histogram, the distribution of age of customers and the frequency on uses of bikes is negatively skewed. That is, at early ages, customers use bicycles more than old ages. At age group 20-25, the demand of bicycles is high and it decreases as age increases. The mean age, median age, mode of an average customer is showed in the following table. The table also shows the average income that most customers receive,
Mean Age
28.98889
Mode Age
25
Median Age
27
Average Income
35672.22
Median Income
34000
More analysis have been done on individual products lines in order to determine the mean age of a customer at a given product line; average salary, average miles/ week, average times/ week among other analysis. The following discussion focuses on each of the three product lines.
a) Lower Product Line.
The following analysis shows the profile of an average customer who chooses to by Low Product Line.
Mean Age
28.6
Sex
Males
55%
Females
45%
Status
Single:
36%
Married.
64%
Mean Salary
30700
Average Miles
88
Average Time/week
3.01 ...
Qnt 351 final exam new april 2016 versionAdams-ASs
QNT 351 FINAL EXAM NEW APRIL 2016 VERSION
Buy Solutions: http://hwsoloutions.com/downloads/qnt-351-final-exam-new-april-2016-version/
QNT 351 FINAL EXAM
NEW APRIL 2016 VERSION
A time series trend equation for Hammer Hardware is Y’ = 5.6 + 1.2t, where sales are in millions of dollars and t increases by one unit for each year. If the value of sales in the base year of 2016 is $5.6 million, what would be the estimated sales amount for 2018?
$8 million
$6.8 million
Unable to determine from given information
$5.6 million
A weight-loss company wants to statistically prove that its methods work. They randomly selected 10 clients who had been on the weight loss program for between 55 and 65 days. They looked at their beginning weights and their current weight. The statistical test they should utilize is:
t test for difference in paired samples
z test for two population proportions
Fame, feeling and fluency: how people choose charity brands | Psychology of c...CharityComms
Seamus O'Farrell, director of planning and strategy, System1 Research
Visit the CharityComms website to view slides from past events, see what events we have coming up and to check out what else we do: www.charitycomms.org.uk
The Team Member and Guest Experience - Lead and Take Care of your restaurant team. They are the people closest to and delivering Hospitality to your paying Guests!
Make the call, and we can assist you.
408-784-7371
Foodservice Consulting + Design
Presentations with Polls - Meetoo Success TipsStephen Dann
Tips and Tricks on using the Meetoo live polling app to make
meetings and classes more effective. It really improves decision
making, learning and engagement tor all attendees. Check out www.meetoo.com for more.
Meta-Analyses in Experimentation: The Whats and HowsVWO
Ruben shows a step-by-step method of using research and experimentation to combine all learnings into behavioral insights. With this method, you will not only improve your research and conversion rate optimization practices but actually learn and provide a much more pleasant journey for your potential customers! This will undoubtedly help you increase conversion rates and become a lot more successful in your job.
A study of graduate & post graduate students regarding their career plansVaibhav Vaidya
Its a study done about career plans of students.
To study the trend of higher education.
Google form was made for collection of data and was shared with different field of students
The analysis of the data has been done using excel statistical sof.docxmattinsonjanel
The analysis of the data has been done using excel statistical software. First, the demand and popularity of each product has been analyzed using pie charts. The extracts from excel shows the distributions of the three product lines across age, sex and education. The three types of bicycles have analyzed in terms of the number of customers using them, sex, and education levels.
The low product line has the highest demand as 80 customers selected, followed by middle product line with 61 customers and finally upper product line. The following extracts shows the demand of the three bicycles on the basis of number of customers, sex, and education.
Analyzing the popularity and demand for three bicycles using sex showed that males have a higher proportion of using bicycles than females. This is show in the following extract and chart.
Also, the level of education determines the use of bicycles. The demand for bicycles varies across the different levels of education. The analysis revealed that non-college high school diploma do not use bicycles. The following pie chart shows the proportion of each education level with respect to the use of bicycles.
Education
Number of Customers
Percentage
Non-High School Diploma
0
0%
High School Diploma
2
1%
Some-College -level work
67
37%
College Degree
97
54%
Graduate Degree at work
14
8%
However, the use of the three products line varied greatly with the age of customers. The following frequency distribution table shows the age group of customers and the frequency of using the three products line.
Bin
Frequency
Cumulative %
Bin
Frequency
Cumulative %
20
10
5.56%
25
62
34.44%
25
62
40.00%
30
45
59.44%
30
45
65.00%
35
32
77.22%
35
32
82.78%
40
16
86.11%
40
16
91.67%
20
10
91.67%
45
8
96.11%
45
8
96.11%
50
7
100.00%
50
7
100.00%
More
0
100.00%
More
0
100.00%
As it can be seen from the histogram, the distribution of age of customers and the frequency on uses of bikes is negatively skewed. That is, at early ages, customers use bicycles more than old ages. At age group 20-25, the demand of bicycles is high and it decreases as age increases. The mean age, median age, mode of an average customer is showed in the following table. The table also shows the average income that most customers receive,
Mean Age
28.98889
Mode Age
25
Median Age
27
Average Income
35672.22
Median Income
34000
More analysis have been done on individual products lines in order to determine the mean age of a customer at a given product line; average salary, average miles/ week, average times/ week among other analysis. The following discussion focuses on each of the three product lines.
a) Lower Product Line.
The following analysis shows the profile of an average customer who chooses to by Low Product Line.
Mean Age
28.6
Sex
Males
55%
Females
45%
Status
Single:
36%
Married.
64%
Mean Salary
30700
Average Miles
88
Average Time/week
3.01 ...
Qnt 351 final exam new april 2016 versionAdams-ASs
QNT 351 FINAL EXAM NEW APRIL 2016 VERSION
Buy Solutions: http://hwsoloutions.com/downloads/qnt-351-final-exam-new-april-2016-version/
QNT 351 FINAL EXAM
NEW APRIL 2016 VERSION
A time series trend equation for Hammer Hardware is Y’ = 5.6 + 1.2t, where sales are in millions of dollars and t increases by one unit for each year. If the value of sales in the base year of 2016 is $5.6 million, what would be the estimated sales amount for 2018?
$8 million
$6.8 million
Unable to determine from given information
$5.6 million
A weight-loss company wants to statistically prove that its methods work. They randomly selected 10 clients who had been on the weight loss program for between 55 and 65 days. They looked at their beginning weights and their current weight. The statistical test they should utilize is:
t test for difference in paired samples
z test for two population proportions
Fame, feeling and fluency: how people choose charity brands | Psychology of c...CharityComms
Seamus O'Farrell, director of planning and strategy, System1 Research
Visit the CharityComms website to view slides from past events, see what events we have coming up and to check out what else we do: www.charitycomms.org.uk
The Team Member and Guest Experience - Lead and Take Care of your restaurant team. They are the people closest to and delivering Hospitality to your paying Guests!
Make the call, and we can assist you.
408-784-7371
Foodservice Consulting + Design
Specific ServPoints should be tailored for restaurants in all food service segments. Your ServPoints should be the centerpiece of brand delivery training (guest service) and align with your brand position and marketing initiatives, especially in high-labor-cost conditions.
408-784-7371
Foodservice Consulting + Design
Senior Project and Engineering Leader Jim Smith.pdfJim Smith
I am a Project and Engineering Leader with extensive experience as a Business Operations Leader, Technical Project Manager, Engineering Manager and Operations Experience for Domestic and International companies such as Electrolux, Carrier, and Deutz. I have developed new products using Stage Gate development/MS Project/JIRA, for the pro-duction of Medical Equipment, Large Commercial Refrigeration Systems, Appliances, HVAC, and Diesel engines.
My experience includes:
Managed customized engineered refrigeration system projects with high voltage power panels from quote to ship, coordinating actions between electrical engineering, mechanical design and application engineering, purchasing, production, test, quality assurance and field installation. Managed projects $25k to $1M per project; 4-8 per month. (Hussmann refrigeration)
Successfully developed the $15-20M yearly corporate capital strategy for manufacturing, with the Executive Team and key stakeholders. Created project scope and specifications, business case, ROI, managed project plans with key personnel for nine consumer product manufacturing and distribution sites; to support the company’s strategic sales plan.
Over 15 years of experience managing and developing cost improvement projects with key Stakeholders, site Manufacturing Engineers, Mechanical Engineers, Maintenance, and facility support personnel to optimize pro-duction operations, safety, EHS, and new product development. (BioLab, Deutz, Caire)
Experience working as a Technical Manager developing new products with chemical engineers and packaging engineers to enhance and reduce the cost of retail products. I have led the activities of multiple engineering groups with diverse backgrounds.
Great experience managing the product development of products which utilize complex electrical controls, high voltage power panels, product testing, and commissioning.
Created project scope, business case, ROI for multiple capital projects to support electrotechnical assembly and CPG goods. Identified project cost, risk, success criteria, and performed equipment qualifications. (Carrier, Electrolux, Biolab, Price, Hussmann)
Created detailed projects plans using MS Project, Gant charts in excel, and updated new product development in Jira for stakeholders and project team members including critical path.
Great knowledge of ISO9001, NFPA, OSHA regulations.
User level knowledge of MRP/SAP, MS Project, Powerpoint, Visio, Mastercontrol, JIRA, Power BI and Tableau.
I appreciate your consideration, and look forward to discussing this role with you, and how I can lead your company’s growth and profitability. I can be contacted via LinkedIn via phone or E Mail.
Jim Smith
678-993-7195
jimsmith30024@gmail.com
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
The case study discusses the potential of drone delivery and the challenges that need to be addressed before it becomes widespread.
Key takeaways:
Drone delivery is in its early stages: Amazon's trial in the UK demonstrates the potential for faster deliveries, but it's still limited by regulations and technology.
Regulations are a major hurdle: Safety concerns around drone collisions with airplanes and people have led to restrictions on flight height and location.
Other challenges exist: Who will use drone delivery the most? Is it cost-effective compared to traditional delivery trucks?
Discussion questions:
Managerial challenges: Integrating drones requires planning for new infrastructure, training staff, and navigating regulations. There are also marketing and recruitment considerations specific to this technology.
External forces vary by country: Regulations, consumer acceptance, and infrastructure all differ between countries.
Demographics matter: Younger generations might be more receptive to drone delivery, while older populations might have concerns.
Stakeholders for Amazon: Customers, regulators, aviation authorities, and competitors are all stakeholders. Regulators likely hold the greatest influence as they determine the feasibility of drone delivery.
3. A data has been collected with the help of questionnaire from the students of
different age, group at university of arid agriculture.
The questionnaire has been divided into two sections, which indicate the gender,
course, CGPA and interest of the students.
The accumulative response is positive which shows that it is a good.
4. Q:1 Would you like to try such products?
Q:2 Would you buy such products if you happened to see it in a store?
Q:3 Would you actively seek out such products in a store in order to purchase it?
Q:4 I would favor such Marketing Campaign?
Q:5 It is good Marketing Campaign?
Q:6 Such Marketing Campaigns are beneficial for society?
Q:7 This marketing campaign has attractive contents?
Q:8 This marketing campaign has excellent execution?
Q:9 I like this campaign?
5. Frequency Distribution
Cumulative frequency distribution
Graphical representation of data
Measure of central tendency
• Mean
• Median
• Mode
• Percentile
• Quartile
Measure of dispersion:
• Range
• Variance
• Standard Deviation
• Co-efficient of variance
Relative Measure
• Z-Score
• Outlier
6. Q:1 Would you like to try such products?
Would you like to try such products?
Classes
Frequency Relative
frequency
Percent
frequency
Cumulative
Frequency
Cumulative
Percent
Strongly
Disagree
3 0.06 6.0
3
6.0
Disagree 11 0.22 22.0 14 28.0
Neutral 13 0.26 26.0 27 54.0
Agree 17 0.34 34.0 44 88.0
Strongly
Agree
6 0.12 12.0
50
100.0
Total 50 1.0 100.0
•Frequency distribution :
Cross Tabulation With respect to class:
Would you like to try such products? * Class Crosstabulation
Questions
Class Total
BBA MBA MS MDM OTHERS
Strongly Disagree 0 3 0 0 0 3
Disagree 0 6 2 3 0 11
Neutral 2 5 1 2 3 13
Agree 0 15 0 2 0 17
Strongly Agree 0 4 0 2 0 6
Total 2 33 3 9 3 50
8. Interpretation:
In the above we analyze the 50 student about their class who gave the opinion about the “Would you like to try such
products” in it we collect the data from MBA, MDM, BBA, MS and Others And conclude that many student like the product.
Particulars Formulas Analysis
Mean 3.2400
Median Middle Value or Average middle Value 3.00
Mode Most Repeated Value 4.00
Percentile(m=64) 4.00
Quartile
Q1
Q2
Q3
25%
50%
75%
2.00
3.00
4.00
Five Number summary Minimum value
Q1
Q2
Q3
Maximum Value
1.00
2.00
3.00
4.00
5.00
Range range = xmaximum – xminimum
4.00
Variance 1.247
Standard Deviation 1.1168
Co-efficient of Variance 34.50%
Z-score Give the below in the table
Outlier Analyze With the Help of Z-Score There is no outlier in the given
output
10. In the above we describe the opinion of the Student from which we collect the information about the
“Would you like to try such products?” In the tabular and graphical form.
Now we go our next Question which is
Q:2 Would you buy such products if you happened to see it in a store?
Frequency Distribution :
Would you buy such products if you happened to see it in a store?
Frequency
Relative
Frequency
Percent
frequency
Cumulative
Frequency
Cumulative
percent
Strongly Disagree 1 0.02 2 1 2
Disagree 5 0.10 10 6 12
Neutral 16 0.32 32 22 44
Agree 23 0.46 46 45 90
Strongly Agree 5 0.10 10 50 100
Total 50 1.00 100
Cross Tabulation With Respect to Class:
Questions
Class Total
BBA MBA MS MDM OTHERS
Strongly Disagree 0 1 0 0 0 1
Disagree 0 2 1 1 1 5
Neutral 1 11 2 2 0 16
Agree 1 14 0 6 2 23
Strongly Agree 0 5 0 0 0 5
Total 2 33 3 9 3 50
12. Interpretation:
In the above we analyze the 50 student about their class who gave the opinion about the “Would you buy such products if you
happened to see it in a store?” in it we collect the data from MBA, MDM, BBA, MS and Others And conclude that many student
like the product.
Particulars Formulas Analysis
Mean 3.5200
Geometric Mean
Harmonic mean
Median Middle Value or Average middle Value 4.00
Mode Most Repeated Value 4.00
Percentile(m=67) 4.00
Quartile
Q1
Q2
Q3
25%
50%
75%
3.00
4.00
4.00
Five Number summary Minimum value
Q1
Q2
Q3
Maximum Value
1.00
3.00
4.00
4.00
5.00
Range range = xmaximum – xminimum
4.00
Variance 0.785
Standard Deviation .8861
Co-efficient of Variance 25.17%
Z-score Give the below in the table
Outlier Analyze With the Help of Z-Score There is no outlier in the
given output
14. Q:3 Would you actively seek out such products in a store in order to purchase it?
Would you actively seek out such products in a store in order to purchase it?
Question
Frequency Relative
Frequency
Percent
Frequency
Cumulative
Frequency
Cumulative
Percent
Strongly
Disagree
4 0.08 8.0
4
8.0
Disagree 8 0.16 16.0 12 24.0
Neutral 17 0.34 34.0 29 58.0
Agree 13 0.26 26.0 42 84.0
Strongly agree 8 0.16 16.0 50 100.0
Total 50 1.0 100.0
•Frequency Distribution:
Would you actively seek out such products in a store in order to purchase it?
Questions
Class Total
BBA MBA MS MDM OTHERS
Strongly Disagree 0 3 1 0 0 4
Disagree 1 3 1 2 1 8
Neutral 0 14 0 2 1 17
Agree 1 9 0 2 1 13
Strongly agree 0 4 1 3 0 8
Total 2 33 3 9 3 50
•Cross Tabulation:
16. Interpretation:
The above graph and table shown the response of the students about the actively Seek out the goods. In the store or not and we
analyze that Neutral Student are more in it which means they neither interested active seek out the Goods.
Particulars Formulas Analysis
Mean 3.2600
Harmonic mean
Median Middle Value or Average middle Value 3.00
Mode Most Repeated Value 3.00
Percentile(m=67) 3.00
Quartile
Q1
Q2
Q3
25%
50%
75%
2.7500
3.00
4.00
Five Number summary Minimum value
Q1
Q2
Q3
Maximum Value
1.00
2.7500
3.00
4.00
5.00
Range range = xmaximum – xminimum
4.00
Variance 1.399
Standard Deviation 1.1572
Co-efficient of Variance 35.50%
Z-score Give the below in the table
Outlier Analyze With the Help of Z-Score There is no outlier in the
given output
20. Particulars Formulas Analysis
Mean 3.2600
Geometric Mean
Harmonic mean
Median Middle Value or Average middle Value 3.00
Mode Most Repeated Value 3.00
Percentile(m=67) 3.0300
Quartile
Q1
Q2
Q3
25%
50%
75%
2.00
3.00
4.00
Five Number summary Minimum value
Q1
Q2
Q3
Maximum Value
1.00
2.00
3.00
4.00
5.00
Range range = xmaximum – xminimum
4.00
Variance 1.584
Standard Deviation 1.2586
Co-efficient of Variance 38.61%
Z-score Give the below in the
table
Outlier Analyze With the Help of Z-Score There is no outlier in
the given output
Interpretation:
In it we take the Suggestion from the Student about the Product, and the result is mostly agree or neutral. Which help us to makes the
decision making.
24. Particulars Formulas Analysis
Mean 3.3000
Geometric Mean
Harmonic mean
Median Middle Value or Average middle Value 4.00
Mode Most Repeated Value 4.00
Percentile(m=43) 4.00
Quartile
Q1
Q2
Q3
25%
50%
75%
2.7500
4.00
4.00
Five Number summary Minimum value
Q1
Q2
Q3
Maximum Value
1.00
2.7500
4.00
4.00
5.00
Range range = xmaximum – xminimum
4.00
Variance 1.520
Standard Deviation 1.2330
Co-efficient of Variance 37.36%
Z-score Give the below in the table
Outlier Analyze With the Help of Z-Score There is no outlier in the
given output
Interpretation:
In it we take the opinion from the students about the campaign of the product, and we conclude that many students agree from the
marketing campaign about the product and we show it graph and table in the above.
28. Particulars Formulas Analysis
Mean 3.4400
Geometric Mean
Harmonic mean
Median Middle Value or Average middle Value 3.00
Mode Most Repeated Value 3.00
Percentile(m=67) 4.00
Quartile
Q1
Q2
Q3
25%
50%
75%
3.00
3.00
4.00
Five Number summary Minimum value
Q1
Q2
Q3
Maximum Value
1.00
3.00
3.00
4.00
5.00
Range range = xmaximum – xminimum
4.00
Variance 1.190
Standard Deviation 1.091
Co-efficient of Variance 31.72%
Z-score Give the below in the
table
Outlier Analyze With the Help of Z-Score There is no outlier in the
given output
Interpretation:
In the above we shows the reaction of students about Marketing Campaigns are beneficial for society and we conclude that many
student are agree of such kind of marketing campaign.
32. Interpretation:
In the above we take opinion from the students and in position of to take the decision that many student agree or strongly agree about the
marketing campaign has attractive context.
Particulars Formulas Analysis
Mean 3.3400
Geometric Mean
Harmonic mean
Median Middle Value or Average middle Value 3.00
Mode Most Repeated Value 3.00
Percentile(m=87) 4.3700
Quartile
Q1
Q2
Q3
25%
50%
75%
3.00
3.00
4.00
Five Number summary Minimum value
Q1
Q2
Q3
Maximum Value
1.00
3.00
3.00
4.00
5.00
Range range = xmaximum – xminimum
4.00
Variance .980
Standard Deviation .9897
Co-efficient of Variance 29.63%
Z-score Give the below in the table
Outlier Analyze With the Help of Z-Score There is no outlier in the
given output
36. Particulars Formulas Analysis
Mean 3.4800
Geometric Mean
Harmonic mean
Median Middle Value or Average middle Value 4.00
Mode Most Repeated Value 4.00
Percentile(m=31) 3.00
Quartile
Q1
Q2
Q3
25%
50%
75%
3.00
4.00
4.00
Five Number summary Minimum value
Q1
Q2
Q3
Maximum Value
1.00
3.00
4.00
4.00
5.00
Range range = xmaximum – xminimum
4.00
Variance 1.316
Standard Deviation 1.1471
Co-efficient of Variance 32.96%
Z-score Give the below in the table
Outlier Analyze With the Help of Z-Score There is no outlier in the given
output
Interpretation:
In the above we plot the suggestion of the students about the marketing campaign has excellent execution. And at the end we conclude that
many student are the favor of the Agree to the execution of the marketing.
40. Particulars Formulas Analysis
Mean 3.4800
Geometric Mean
Harmonic mean
Median Middle Value or Average middle Value 4.00
Mode Most Repeated Value 4.00
Percentile(m=46) 3.4600
Quartile
Q1
Q2
Q3
25%
50%
75%
3.00
4.00
4.00
Five Number summary Minimum value
Q1
Q2
Q3
Maximum Value
1.00
3.00
4.00
4.00
5.00
Range range = xmaximum – xminimum
4.00
Variance 1.479
Standard Deviation 1.2162
Co-efficient of Variance 34.95%
Z-score Give the below in the table
Outlier Analyze With the Help of Z-Score There is no outlier in the
given output
Interpretation:
In it we take the opinion of the student that the like the marketing campaign of the product or not, and at the end we conclude that many student
are in the Favor of the Marketing and they like the such type of Marketing campaign.