Statistics of Online Shopping

Statistics
Online shopping
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Statistics
Abstract
The essential focus of this study was to discover how customers were using online shopping
webpage page. The specific objectives were to check whether there was connection between time
spent on the site page and the money spent in dollars to do shopping. The investigation also
endeavored to set up if age was related to the money spent shopping. In choosing the members to
form the sample, the study used equal probability sampling method to pick the members. This
was suitable as it gave every individual from the populace equal plausibility of being picked into
the sample. The investigation used the analysis software SPSS to analyze the data collected.
Distinct estimations, for instance, mean, median, standard deviation and variance were used to
depict the data. Inferential measurements, for instance, Pearson correlation were used to
determine the amount of relationship that existed between different variables. The exploration
discoveries were displayed in tables. It was found that there was no relationship between time
spent on site page and amount of money spent in dollars on shopping. No basic relationship was
moreover found among attitude and amount spent on shopping. Regardless, there was a critical
relationship among age and proportion of money spent shopping in dollars. At long last, it was
furthermore found that there was no huge distinction in attitude between the sexes.
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Statistics
Introduction
The essential focus of this study was to determine how customers were using online shopping
webpage page. The specific objectives were to establish whether there was correlation between
time spent on the site page and the money spent in dollars to do shopping. The investigation also
attempted to find out if age was related to the aggregate amount spent shopping.
Sampling
In order to choose a sample that did not promote biasness, the study employed two sampling
methods. The main system to be utilized was purposive inspecting then the second procedure
was equal probability sampling method. Purposive sampling was utilized to pick a pool of
respondents who have reliably visited the site page for web shopping. This was done to ensure
that the overall public who had not visited the site page does not get into the sample. After a pool
of respondents had been picked, the study utilized the random sampling to pick an example of 50
respondents. This procedure was held onto as it empowered every part in the pool to have an
equivalent chance of being picked in the sample (Hicks, 2013). It was method was less complex
on the exploration group since it required less time and resources for encourage the system
(Fleiss and Paik, 2003). This turned out to be helpful as there was restriction of time.
Methodology
This research used the statistical package for social sciences, SPSS for analysis of the data
collected. Various estimations, for instance, mean, median, standard deviation and variance were
used to depict the data. Inferential statistics, for instance, Pearson test for correlation was used to
determine the extent of relationship between different variables (Bhattacharyya and Johnson,
2013). The analysis discoveries were displayed in tables.
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