Online Shopping Habits PowerPoint PPT Presentation

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About This Presentation
Transcript and Presenter's Notes

Title: Online Shopping Habits


1
Online Shopping Habits
  • Josh, Anthony, Jennifer and
  • Samantha

2
Agenda
  • Secondary data
  • Survey
  • Hypotheses / Results
  • Findings
  • Conclusion
  • Interpretation

3
Secondary Data
  • Online shoppers are
  • Spending more time online
  • Buying more often
  • Spending more money in the process
  • Average of 86.31 in 2000 compared to 49.53 in
    1998
  • Total purchases increased from 4 billion in 1998
    to 23 billion in 2000.
  • Source Wharton Study 2000

4
Secondary Data
  • Men shop online more than women
  • 53 of online shoppers are men
  • 47 are women
  • This is because
  • Men are early adopters of the internet
  • Feel more comfortable providing credit card
    information
  • Source Wharton Study 2000

5
Secondary Data
  • Growth of at-home broadband access has grown from
    15-27 million users over the course of a year.
    And of other users who have home Internet access,
    8 plan to acquire broadband access in the
    present year.
  • Source Arbitron Study

6
Increased Broadband Penetration
7
Secondary Data
  • 92 of Americans are concerned about credit card
    theft online
  • Source pewinter study

8
Nearly All Consumers Have Concerns About Online
Shopping
  • Source Hart Research for WAVE Systems

9
Survey
  • 34 questions asked
  • 100 respondents
  • Convenience sample
  • Conducted the week of May 6, 2002

10
Sample Questions
  • Nominal Scale- a measurement that assigns only an
    identification or label to an object or set of
    objects. Example
  • Have you ever purchased a product from a company
    on the internet?
  • Yes
  • No

11
Sample Questions
  • Ordinal Scale- a measurement that assigns only a
    rank or order to a set of objects. Example
  • Rank the type of site from which you most often
    make purchases?
  • Travel
  • Flowers/Gifts
  • Books/Music/ Movies
  • Electronics/Computers
  • Clothes
  • Financial Services

12
Sample Questions
  • Interval Scale- a scale with the property that
    units have the same width throughout the scale.
    Example
  • How secure do you feel internet shopping is?
  • 1---2---3---4---5---6---7---8---9---10
  • Not Secure Very Secure

13
Sample Questions
  • Ratio Scale- a measurement that has a true or
    meaningful zero point, allowing for specification
    of absolute magnitudes of objects. Example
  • What is the maximum amount you are willing to
    spend on an online purchase?

14
Hypotheses
  • 4 Hypotheses tested

15
Overview of T-test
  • T-test assesses whether the mean of two groups
    are statistically different from each other.

16
Hypothesis 1
  • H0- Frequency of online shopping is equal for men
    and women
  • mm mw
  • H1- Frequency of online shopping is not equal for
    men and women
  • mm ? mw
  • Q3 Have you ever purchased a product/service
    online?
  • Q12 how many times do you shop online?
  • Q30 What is your gender?

17
Results
  • We calculated the appropriate statistic
  • tobt -0.470
  • Now we need to evaluate it based on its sampling
    distribution
  • tobt gt tcrit 
  • df N 2 75-2 73
  • Look in Table A-4
  • For 95 confidence interval, tcrit 1.993
  • Since 0.470 lt 1.993, we accept H0

18
Hypothesis 2
  • H0- Frequency of online shopping is equal for
    dial-up and broadband customers
  • md mb
  • H1- Frequency of online shopping is not equal for
    dial-up and broadband customers
  • md ? mb
  • Q4 How do you connect to the internet?
  • Q12 how many times do you shop online?

19
Results
  • We calculated the appropriate statistic
  • tobt -1.018
  • Now we need to evaluate it based on its sampling
    distribution
  • tobt gt tcrit 
  • df N 2 77-2 75
  • Look in Table A-4
  • For 95 confidence interval, tcrit 1.992
  • Since 1.018 lt 1.993, we accept H0

20
Hypothesis 3
  • H0- Fraud on the internet influences online
    purchases
  • mf mnf
  • H1- Fraud on the internet does not influence
    online purchases
  • mf ? mnf
  • Q15 How much does potential credit card fraud
    influence online purchases?

21
Results
  • We calculated the appropriate statistic
  • tobt 15.444
  • Now we need to evaluate it based on its sampling
    distribution
  • tobt gt tcrit 
  • df N 1 75-1 74
  • Look in Table A-4
  • For 95 confidence interval, tcrit 1.993
  • Since 15.444 gt 1.993, we reject H0

22
Hypothesis 4
  • H0- Online purchases are made in equal amounts in
    each of the identified categories
  • mf mnf
  • H1- Online purchases are not made in equal
    amounts in each of the identified categories
  • mf ? mnf
  • Q20 From what category was your first online
    purchase
  • Q21 Rank the type of site from which you most
    often make purchases

23
Results
Category Mean Std. Deviation First Purchase
Travel 2.66 1.61 14
Flowers/Gifts 3.92 1.51 3
Books/Music/Movies 1.77 0.98 30
Electronics/ Computers 2.96 1.55 9
Clothes 3.09 1.55 13
Financial Services 4.65 1.49 1
24
Results
  • Respondents indicated a preference for the
    category of Books/music/movies when ranking
    sites most used for purchases
  • Additionally 30 made their first purchase at one
    of the sites in this category
  • So, we reject H0

25
Conclusion
  • Secondary data supports all the hypotheses
  • Primary data supports 2 of the 4 hypotheses
  • Credit card fraud results differed from secondary
    data
  • Expected one category to be preferred over the
    others and survey revealed most popular category

26
Interesting Results
  • 11 have no access to the Internet
  • 46 have been on the internet more than 4 years
  • 70 use the internet daily
  • 42 consider their skill level on the Internet to
    be expert

27
Interesting Results
  • 60 use offline information to shop online at
    least occasionally
  • 63 use online information to shop offline at
    least occasionally
  • 41 rate price the most important factor when
    shopping online

28
Interpretation
  • Data supports continued growth of online shopping
    creating business opportunities
  • Faster internet connections and software
    advancements will create new ways to shop online

29
Questions?
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