Report on Online Paracetamol Price Fluctuations During the UK Lockdown

This report investigates the impact of the UK lockdown on online shopping trends, specifically focusing on the price changes of paracetamol. It highlights the rise of online shopping before, during, and after the COVID-19 pandemic, noting the increased reliance on e-commerce for essential goods due to safety concerns and restrictions on physical gatherings. The analysis includes statistical data showing the correlation between online shopping trends and factors like gender, age, and education, with a focus on how the pandemic influenced consumer behavior and the growth of e-commerce. The report concludes that online shopping significantly increased during the lockdown, affecting various retail sectors, and discusses the implications for businesses adapting to the changing digital landscape. Desklib provides access to similar reports and solved assignments for students.

Online Price change
during the lockdown in
the UK – Paracetamol
Introduction
Online shopping is a process by which customers buy goods and services directly from seller over
the internet. As with increased technology, rate of online shopping has increased to the great
extent. The reason behind increment in online shopping include: easy access to digital media
platforms, time and cost saving. Covid-19 was the main changing factor that affected companies
to the great extent (Rita, Oliveira and Farisa, 2019). On the basis of secondary data, it is found
that after covid-19, people started shopping online rather purchasing products offline.
The reason behind it was because of fear of getting affected from corona virus. People
was not allowed to gather at one place so, as per this, online shopping rate increased. The reason
behind selecting this topic is knowing changing environment and impact of technology on E-
commerce companies. This study is going to compare data of online shopping before, during and
after covid-19 in order to know changing behavior of people and impact of technologies. It will
also help out in knowing rise of E-commerce. On the basis of results and outcomes, we can help
offline stores in going online along with reasons. It can increase employment opportunities and
economic condition as well. It is one of my interesting topics and it is another reason of selecting
this topic. It will increase knowledge regarding online shopping, new current trends and others.
Association by using statistical inference techniques
While this both play the important through which the growth and development for the
organization and countries that could be take place. Education system that have been
also changes due to having the huge technology and becoming more high digitally
online through which many of the students are using many more other platforms
(Deo, 2020). Therefore, online shopping rate with 1.3500 this could be mean and
study, deviation about how year that could led them with having the .48936 data.
According to the above data, this could be showing more about the descriptive
statistics data for online shopping through which they can clear many more concepts
and usually make sure about how this could deal with them and keeping the high
growth for their organization. On the basis of above data, it can be said that online
shopping trend is related with gender, age and educational factors. Male bachelor
customers of 25 age are more likely to focus on online shopping. This data shows
reasons and interrelation of online shopping with other factors.
Conclusion
From the above report it had been concluded that, online shopping rate that have been
increased due to having the covid-19 and this could also help the business for working
with many things. Along with this also discussed about the derivation and correlation for
which the concepts about how this could work for them and make their business for
working with business economy growth and developments.
DATA INTERPRETATION
Rise of online shopping before, during and after Covid-19 in the UK
Online shopping trend is increasing day by day and year by year. One of the main
reason behind it is: easier accessibility. There are some data that also show changes in
online shopping. By comparing rate of online shopping before, during and after
covid-19, we can measure difference. Some data on which basis, it can be measured
as whether there is rise in online shopping after convid-19 or not.
On the basis of above data, it can be said that there is rise in online
shopping in retail sector, departmental stores, food stores household and other stores.
Only non-store retailing was the sector where there was no growth or rise in online
shopping after covid-19 (Ali, 2020). Household goods stores was the sector where
there was great rise in online shopping and decline in offline shopping. It is the sector
that provides all essential or basic needs of items to people and after covid-19, people
became afraid to go outside. so, they started buying products online. So, on the basis
of this data, it can clearly be said that there is growth in online shopping
Descriptive statistical measures
In 2019, this could be seems that United Kingdom have keep their growth with internet sales nearly
represented by 20% of retail sales. The most figures that can recent figures about the office national statistics
(UK), the country with having e-commerce in 2019, about the 693 million GDP. The office for national
statistics shows about the august data in 2021, online sales department that have been increased and declined
by 14.3%, online food selling that have been increased which have been showed no changes to the same month
as previous years (Oxford Analytical, 2020).
Sampling
Random sampling will be used in order to promote diversity and as I becomes easier in selecting people from
larger population.

Descriptive Statistics
Mean Std. Deviation N
Gender 1.4000 .50262 20
Age 2.4000 .99472 20
Education 2.4000 1.04630 20
onlineshopping 1.3500 .48936 20