Statistical Sampling Techniques & Salary Increase Justification Report
VerifiedAdded on 2023/06/05
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This report discusses the use of statistical sampling in analyzing large data populations, highlighting probability and non-probability sampling techniques. It also presents a case for increasing employee salaries, referencing the decline in real wages in the UK due to inflation and the impact of the COVI...

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Table of Contents
INTRODUCTION...........................................................................................................................1
Question 1........................................................................................................................................1
Explain why statisticians uses a sample when dealing with large data population. Identify and
explain two methods of sample selection...............................................................................1
Question 2........................................................................................................................................2
Prepare a report for supporting an increase in salary for all employees within an organisation.
................................................................................................................................................2
REFERENCES ...............................................................................................................................7
INTRODUCTION...........................................................................................................................1
Question 1........................................................................................................................................1
Explain why statisticians uses a sample when dealing with large data population. Identify and
explain two methods of sample selection...............................................................................1
Question 2........................................................................................................................................2
Prepare a report for supporting an increase in salary for all employees within an organisation.
................................................................................................................................................2
REFERENCES ...............................................................................................................................7

INTRODUCTION
Profession or business is the act of creating individuals means and making money by
manufacturing or purchasing and trading of the commodities. It is also termed as any venture or
business is generated for the motive of profit earning. It is termed as an company involved in
business, industrial, or activities which are related to profession. Businesses could be for both
profit organisations or non-profit organizations. It has variety of ranges from limited liability
companies and business entities (Erümit, 2020). In this report, the reason behind utilisation of
sample while dealing with large data of population are being discussed along with two methods of
sample selection. In addition, the report consists the reason for increasing the salary of employees
in business and marketing sector.
Question 1
Elaborate why statisticians utilises a sample while dealing with large data population. Find and
explain two techniques of sample selection
A sample refers to a smaller but manageable form of a huge group. It is a set that consists
of features of a larger population, These are utilised in statistical testing when population sizes are
very huge for for the analysis to involve all possible members or observations. A sample should
depicts the population entirely and not present any prejudice towards a particular attribute. These
are utilised to make logical thinking regarding populations. These are to gather data from as they
are practical, cost-effective, convenient and manageable. Populations are utilised in research when
a research question needs data from each member of the population. A sample that is bigger than
requirement will be a better representative of the population and therefore furnishes more correct
results. Moreover, after some point, the upsurge in correctness will be smaller and therefore not
worthy for the effort and expense included in analyse. Statisticians use samples to make
statements or predictions regarding the general features of a population (Bowyer and et.al., 2021).
Sampling can help in analysing the conditions in the market and it consists of two types –
probability sampling and non-probability sampling.
1. Probability sampling: It is a techniques of sampling in the analysts puts a few certain
criteria for the selection from the lists of members of population randomly. Probability
Sampling is of different types which are discussed underneath:
1
Profession or business is the act of creating individuals means and making money by
manufacturing or purchasing and trading of the commodities. It is also termed as any venture or
business is generated for the motive of profit earning. It is termed as an company involved in
business, industrial, or activities which are related to profession. Businesses could be for both
profit organisations or non-profit organizations. It has variety of ranges from limited liability
companies and business entities (Erümit, 2020). In this report, the reason behind utilisation of
sample while dealing with large data of population are being discussed along with two methods of
sample selection. In addition, the report consists the reason for increasing the salary of employees
in business and marketing sector.
Question 1
Elaborate why statisticians utilises a sample while dealing with large data population. Find and
explain two techniques of sample selection
A sample refers to a smaller but manageable form of a huge group. It is a set that consists
of features of a larger population, These are utilised in statistical testing when population sizes are
very huge for for the analysis to involve all possible members or observations. A sample should
depicts the population entirely and not present any prejudice towards a particular attribute. These
are utilised to make logical thinking regarding populations. These are to gather data from as they
are practical, cost-effective, convenient and manageable. Populations are utilised in research when
a research question needs data from each member of the population. A sample that is bigger than
requirement will be a better representative of the population and therefore furnishes more correct
results. Moreover, after some point, the upsurge in correctness will be smaller and therefore not
worthy for the effort and expense included in analyse. Statisticians use samples to make
statements or predictions regarding the general features of a population (Bowyer and et.al., 2021).
Sampling can help in analysing the conditions in the market and it consists of two types –
probability sampling and non-probability sampling.
1. Probability sampling: It is a techniques of sampling in the analysts puts a few certain
criteria for the selection from the lists of members of population randomly. Probability
Sampling is of different types which are discussed underneath:
1
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1.Simple Random Sampling: It is the best proven method of sampling that helps in saving of
time and resources.
2.Cluster Sampling: It is the process where the analysts divide the complete population into
different categories that represents a population.
3.Systematic sampling: Analysts use this method to select a particular group of members at
certain intervals.
4.Stratified random sampling: It is a method in which the analysts divide the population into
smaller groups that does not overlap but the complete population (Gonzalez, Nielsen and Lasater,
2021).
Uses of probability sampling:
Reduce Sample Bias
Diversified population
Generating an accurate sample
2. Non-probability: In this sampling method, the analysts selects the members for analysing in a
random manner. This method of sampling is not at all fixed and is not accurate in terms of
selection process. Non-probability is of following types:
1. Convenience sampling
2. Judgemental or purposive sampling
3. Snowball sampling
4. Quota sampling
Question 2
Prepare a report for supporting an upsurge in salary for all employees within an entity.
Pay for workers in United Kingdom has fallen in real sense for the first time in more than a
year, despite of signs that workers shrugged off concerns over the Omicron coronavirus variant to
continue recruiting in December. Average wages, after taking into consideration inflation,
dropped in November for the first time since July 2020 in growing concerns over the hit to living
standards this year from high inflation and surging energy bills. As inflation collapse the value of
currency of earnings, it can make it complex for the market to measure the current value of the
2
time and resources.
2.Cluster Sampling: It is the process where the analysts divide the complete population into
different categories that represents a population.
3.Systematic sampling: Analysts use this method to select a particular group of members at
certain intervals.
4.Stratified random sampling: It is a method in which the analysts divide the population into
smaller groups that does not overlap but the complete population (Gonzalez, Nielsen and Lasater,
2021).
Uses of probability sampling:
Reduce Sample Bias
Diversified population
Generating an accurate sample
2. Non-probability: In this sampling method, the analysts selects the members for analysing in a
random manner. This method of sampling is not at all fixed and is not accurate in terms of
selection process. Non-probability is of following types:
1. Convenience sampling
2. Judgemental or purposive sampling
3. Snowball sampling
4. Quota sampling
Question 2
Prepare a report for supporting an upsurge in salary for all employees within an entity.
Pay for workers in United Kingdom has fallen in real sense for the first time in more than a
year, despite of signs that workers shrugged off concerns over the Omicron coronavirus variant to
continue recruiting in December. Average wages, after taking into consideration inflation,
dropped in November for the first time since July 2020 in growing concerns over the hit to living
standards this year from high inflation and surging energy bills. As inflation collapse the value of
currency of earnings, it can make it complex for the market to measure the current value of the
2
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entities that build up market indexes. In addition, higher prices for materials, inventory and labour
can effcet earnings as organisations adjust. The ONS observed that normal absolute income in
November grows at a yearly rate of 3.5%, the effect of high rated of inflation results in worker
suffering a real time cut off in their salaries. Officially,inflation rate reaches a 10 year high of
0.1% in month of November. Employment professionals observed there were indications that
Britain was coming up from drastic period of Covid-19 with high levels of employment but the
living standards lowered which was implemented to operate well in 2022 (Mourtzis, 2018).
3
can effcet earnings as organisations adjust. The ONS observed that normal absolute income in
November grows at a yearly rate of 3.5%, the effect of high rated of inflation results in worker
suffering a real time cut off in their salaries. Officially,inflation rate reaches a 10 year high of
0.1% in month of November. Employment professionals observed there were indications that
Britain was coming up from drastic period of Covid-19 with high levels of employment but the
living standards lowered which was implemented to operate well in 2022 (Mourtzis, 2018).
3

An individual, according to a report, operating in UK generally have a earnings of nearly
71000GBP per annum. And their salaries varies from 18000 GBP to 31700 GBP.This is the
4
71000GBP per annum. And their salaries varies from 18000 GBP to 31700 GBP.This is the
4
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normal yearly income including housing, transport, and other benefits (Wisshak and
Hochholdinger, 2020).
CONCLUSION
From the above prepared report, sample is used by statistician in order to examine the
whole population. As the sample represents the characteristics of whole population. Also the
techniques of sample selections such as probability sampling and non probability sampling along
with their types and uses is elaborated in this report. The demand to increase salary of worker due
to inflation in prices of food stuffs, travelling expense and hike in petrol prices and impact of
coronavirus pandemic on the wages of employees is also being elaborated in detail in the
following report.
5
Hochholdinger, 2020).
CONCLUSION
From the above prepared report, sample is used by statistician in order to examine the
whole population. As the sample represents the characteristics of whole population. Also the
techniques of sample selections such as probability sampling and non probability sampling along
with their types and uses is elaborated in this report. The demand to increase salary of worker due
to inflation in prices of food stuffs, travelling expense and hike in petrol prices and impact of
coronavirus pandemic on the wages of employees is also being elaborated in detail in the
following report.
5
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REFERENCES
Books and Journals
Erümit, A.K., 2020. Effects of different teaching approaches on programming skills. Education
and Information Technologies, 25(2). pp.1013-1037.
Bowyer, M.W., and et.al., 2021. A novel paradigm for surgical skills training and assessment of
competency. JAMA surgery, 156(12). pp.1103-1109.
Gonzalez, L., Nielsen, A. and Lasater, K., 2021. Developing students' clinical reasoning skills: A
faculty guide. Journal of Nursing Education. 60(9). pp.485-493.
Mourtzis, D., 2018, June. Development of skills and competences in manufacturing towards
Education 4.0: A teaching factory approach. In International Conference on the Industry
4.0 model for Advanced Manufacturing (pp. 194-210). Springer, Cham.
Wisshak, S. and Hochholdinger, S., 2020. Perceived instructional requirements of soft-skills
trainers and hard-skills trainers. Journal of Workplace Learning.
6
Books and Journals
Erümit, A.K., 2020. Effects of different teaching approaches on programming skills. Education
and Information Technologies, 25(2). pp.1013-1037.
Bowyer, M.W., and et.al., 2021. A novel paradigm for surgical skills training and assessment of
competency. JAMA surgery, 156(12). pp.1103-1109.
Gonzalez, L., Nielsen, A. and Lasater, K., 2021. Developing students' clinical reasoning skills: A
faculty guide. Journal of Nursing Education. 60(9). pp.485-493.
Mourtzis, D., 2018, June. Development of skills and competences in manufacturing towards
Education 4.0: A teaching factory approach. In International Conference on the Industry
4.0 model for Advanced Manufacturing (pp. 194-210). Springer, Cham.
Wisshak, S. and Hochholdinger, S., 2020. Perceived instructional requirements of soft-skills
trainers and hard-skills trainers. Journal of Workplace Learning.
6
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