SIMS Sem2 Assessment2 Division a Instructions

7/29/2019 SIMS Sem2 Assessment2 Division a Instructions

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SIMS SPSS Semester 2Division A

Team Name: Contributing Team Members:

NameRoll Numbers go in here

Non Contributing / Not Present Team Members:NameRoll Numbers go in here


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Overview Overall 20 marks Team Assessment

Only those present for the assessment and taking equal share of the

work will be awarded marks

5 Marks for right answer for each of 4 scenarios given below

No limit on # of slides Use your team member names embedded in data of each scenario

Evaluation Criteria for 5 Marks (each scenario)

1 Mark Right data structuring / Building Hypothesis

1 Mark Right application of SPSS during required hypothesis test 2 Marks Right Interpretation of SPSS output

1 Mark Use of right statistical terms, Neatness, Depth of

interpretation and its possible applications in real life (possible

actions you will take based on your research outcome)


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Expected Output 1 Zipped file SIMS-Sem2-Assessment2-Team.zip

4 SPSS Files with data and output

1 PowerPoint file with your interpretation, inferencesfrom analysis you have performed (highlight charts,tables you would like me to attend to in this PowerPoint

file. I will refer to your SPSS file only in case of randomdata validation)

No two groups should have same SPSS files andoutput. Considering everyone is building their owndatabase and performing their own analysis, each

team will be unique with their output. Teams withsame SPSS files and output will be taken up withexam department and appealed for awarding leastpossible marks.


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Scenario 1 Factor Analysis What is the purpose of Factor Analysis? Explain Briefly.

You have recently conducted survey of 100 participants on8(below listed) questions to understand purchase preferencesof your potential customers in a recent brand study for yourcompany, MarketOfMarkets

Build database of example questionnaire from sampleparticipants to simulate high brand preference, low websiterating, medium office friendliness with high correlation onfollowing questions

Perform exploratory factor analysis on this data to find 3factors

Each question was evaluated on 1-5 likert scale I like products sold by your company

I like services offered by your company

I find website user friendly

I find all required information on the website

I like brand logo

I like company name

I find building interior of office elegant

I can trace right resources easily when I come the office
http://en.wikipedia.org/wiki/File:Example_Likert_Scale.svg


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Scenario 2 Two Way (Factorial) ANOVA You are CMO of a manufacturing company. You have hired Gartner

to survey your suppliers for their partner satisfaction rating. Youhave conducted these surveys for suppliers from differentcategories of products e.g. Ancillary parts, Foundry, FineMachining etc. you have also qualified these suppliers based ontheir % of their annual revenue with your company vs yourcompetitor (Low, Medium, High), and distance of their

primary office location from your factory as within 10km,withing 100km, within 300 kms.

Build a partner feedback database for 120 sample partners toperform Factorial ANOVA and share your research outputhighlighting means plot, post hoc tests

You would like to better assess impact of distance, companydependency on your business and type of supplies on to theirpartner satisfaction.

Use 90% Statistical Significance


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Scenario 3 Multiple Regression You are marketing manager for a online retail shop. You are

observing Web Traffic to your online sales site of yourcompany SleeKart.com. You are expected to estimateimpact of Customer Satisfaction, Support Issues raised inlast 2 years, Recency of purchase, Frequency ofPurchase , LifeTimeValue of your customers to estimate

probability of expected response to upcoming marketingcampaign during festival season. Use typical web traffic(e.g. shopping kart conversion) and marketing KPIs toestimate Probability of Response to Marketing program

Create sample customer database with 72 dummy data

entries. Perform multiple regression analysis by findingstatistically significant correlations in your sample databetween probability of response with KPIs like Recency,Frequency and LifeTimeValue (Need atleast 6 such KPIsbased on your knowledge from marketing gained so far inMBA 1st and 2nd Sem)


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Scenario 4 Chi-Square Test You are advertising manager for a mid size company

You are trying to understand customer preferences foronline payment method Payment Type Credit Card, Debit Card, Net Banking, Cash

on Delivery

Based on their Rural, Tier-2, Tier-1 Metro geographiclocation status in India.

Build a database of 60 tier-1-Metro, 20 Tier-2 and 20tier-1 customer survey to capture their preferredpayment mode

Using Alpha = 0.05 (95% confidence), perform chi-square test on your data to assess if there isrelationship between location of the customer andtheir preferred payment method

Documents

SIMS Sem2 Assessment2 Division a Instructions