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Study of online store customer behaviour

   

Added on  2023-04-21

9 Pages1214 Words214 Views
RESEARCH METHODS
STUDENT ID:
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(1) The respective hypotheses are highlighted as shown below.
(a) Claim to test: Average time spent on web page browsing is 12 minutes.
H0: The average time on web browsing does not differ significantly from 12 minutes.
H1: The average time on web browsing does differ significantly from 12 minutes
Claim to test: Average expenditure and time spent on web page browsing show statistically
significant linear association.
H0: Correlation coefficient is insignificant and hence can be assumed to be zero.
H1: Correlation coefficient is significant and hence cannot be assumed to be zero.
(b) Claim to test: The average navigations errors are not the same for the two timings.
H0: The navigation errors during AM and PM time do not differ in any significant manner.
H1: The navigation errors during AM and PM time do differ in significant manner.
(c) Claim to test: The average time spent on browsing tends to be different for the two
genders.
H0: The average time spent on browsing does not significantly differ for the two genders.
H1: The average time spent on browsing does significantly differ for the two genders.
(d) Claim to test: There is significant association between the spending and the age of the
customer
H0: The customer age and average expenditure do not show any significant association and
hance the correlation coefficient can be assumed as zero.
H1: The customer age and average expenditure does show significant association and hance
the correlation coefficient cannot be assumed as zero.
(2) Claim to test: Average time spent on web browsing by a customer is 10 minutes.
1

(3) The appropriate statistical tests which ought to eb conducted for testing of the above
hypothesis are listed below.
(4) The relevant results of the various hypothesis test as obtained through the aid of SPSS
software are summarised below. The level of significance is taken as 5% for each of the
following tests.
(a)
The p value > level of significance and hence there is no rejection of null hypothesis. The
original claim is supported by the sample data.
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