Statistics: Online Shopping Study

Statistics
Online shopping
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Statistics
Abstract
The main objective of this pilot study was to find out how customers were using online shopping
webpage. The specific objectives were to find out whether there was a direct relationship
between time spent on the webpage and the amount spent in dollars to do shopping. The study
also sought to find out whether age was correlated to the amount spent shopping. In selecting of
the sample to the sample, the study employed simple random sampling to select the sample. This
was arrived at as it eliminates cases of bias and also gives members of the population equal
chance of being selected into the sample. The study employed the software SPSS for the purpose
of data analysis. Descriptive statistics such as mean, median, standard deviation and variance
were used to describe the data. Inferential statistics such as Pearson correlation was used to
establish relationship between variables. The research findings were presented in tables. It was
found that there was no relationship between time spent on webpage and amount spent in dollars
on shopping. No significant relationship was also found between attitude and amount spent on
shopping. However, there was a significant relationship between age and amount of money spent
shopping. Lastly, it was also found out that there was no significant difference in attitude
between the males and the females.
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Statistics
Introduction
The main objective of this pilot study was to find out how customers were using online shopping
webpage. The specific objectives were to find out whether there was a direct relationship
between time spent on the webpage and the amount spent in dollars to do shopping. The study
also sought to find out whether age was correlated to the amount spent shopping.
Sampling
In order to come up with a sample that was not biased, the study employed two sampling
methods. The first method was purposive sampling then the second method was equal
probability sampling or simple random sampling. Purposive sampling was used to select a pool
of respondents who have always visited the webpage for online shopping. This was done to
ensure that the people who had not visited the webpage get into the sample. This was also to
avoid cases of invalidity of the data. After a pool of respondents had been selected, the study
employed a simple random sampling to select a sample of 50 respondents. This method was
adopted as it allowed every member in the pool to have an equal chance of being selected in the
sample (Hicks, 2013). It also eliminated biasness that might have arisen due to human error. It
was also easier on the study side since it took less time and resources to conduct the process
(Fleiss & Paik, 2003). This came in handy as there was also the constraint of time.
Methodology
The study employed the software SPSS for the purpose of data analysis. Descriptive statistics
such as measures of center (mean, median and mode) and measures of dispersion such as
standard deviation and variance were used to describe the data. Inferential statistics such as
Pearson correlation and independent sample t-test were used to establish relationship between
variables (Bhattacharyya & Johnson , 2013). The research findings were presented in tables.
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