BUS5004
Business Analysis
Assignment
Date for Submission:
,Question 1
You have been asked to conduct a survey of your fellow colleagues to gauge their response
to the possibility of introducing a holiday pay scheme. Explain the significance of the
following:
a. Population
b. Sampling techniques
A research study is normally conducted on a sample of subjects instead of on an
entire population. The extremely demanding part of fieldwork involves obtaining a random
sample from the targeted population into which the study’s results will be generalized.
Practically, the activity is extremely hard that a number of sampling biases happens in
nearly every study to a greater or lesser degree. To evaluate the intensity of this bias the
researcher requires understanding the population from which sample will be obtained. The
eventual decision regarding whether the findings of a given research may be generalized to
a bigger populace depends upon this knowledge. The resultant deliberations depend on
strategies of sampling as well as different sampling techniques. In this section, we will
examine the importance of population and sampling techniques in studying colleagues to
measure their response to the possibility of launching a holiday pay scheme.
A. Defining the Population
Prior to taking a sample, the research must at first define the populace to which they
require generalizing the results of the study. With respect to statistical analysis and research
design, a populace refers to the whole set of people or entities that a researcher aims to
comprehend or more formal, about which a researcher aims to draw a conclusion or
inference. A study population also is referred to as clearly stated collection of persons known
to possess the same attributes. All objects or people in a given population generally have
shared, binding traits or characteristics (Taherdoost, 2016). As a result, defining clearly the
population is interest is an important and necessary part of research design since the manner
in which a population is described determines the scope and nature of inferences ensuing
, from research activity (Acharya, Prakash, Saxena & Nigam, 2013). It’s for the gain of the
population that a research is done. But because of the huge size of the population, a
researcher generally can’t test each person in the population as it is very costly as well as
time consuming. That’s the rationale why a research relies upon sampling techniques, which
will be discussed later in this section.
According to Asiamah, Mensah and Oteng-Abayie (2017), there are two types of
population in research: target population and accessible population. On one side, target
population is the whole set of people to which a research is concerned in generalizing
inferences. A target population normally has different attributes and also is called a
theoretical populace. On the other side, an accessible populace refers to a population in
study to which a researcher may apply his inferences. Such a populace is a subset of a target
population and also is called a study population. From accessible population, a researcher
can draw his sample.
A sample refers to a subset of a population. This idea of a sample emerges from the
incapability of a researcher to test every individual in a certain populace. A sample requires
being quantitative of the populace from which it was obtained and should have perfect size
for warrantying statistical analysis. The primary function of obtaining a sample population is
to enable a researcher to carry out the research to persons from the populace in order that the
findings of their research can be utilized to draw inferences that will apply to the whole
population. It’s much akin to a give and take procedure (Acharya, Prakash, Saxena &
Nigam, 2013). A population provides the sample, and afterward it takes inferences from the
findings drawn from the sample.
B. Sampling Techniques
It will typically be impracticable to research on an entire population, case in point
when performing questionnaire surveys. Sampling is a technique that enables a researcher to
deduce information concerning a population founded upon findings from the population’s
subset, devoid of having to study each person. Decreasing the number of persons is a
Business Analysis
Assignment
Date for Submission:
,Question 1
You have been asked to conduct a survey of your fellow colleagues to gauge their response
to the possibility of introducing a holiday pay scheme. Explain the significance of the
following:
a. Population
b. Sampling techniques
A research study is normally conducted on a sample of subjects instead of on an
entire population. The extremely demanding part of fieldwork involves obtaining a random
sample from the targeted population into which the study’s results will be generalized.
Practically, the activity is extremely hard that a number of sampling biases happens in
nearly every study to a greater or lesser degree. To evaluate the intensity of this bias the
researcher requires understanding the population from which sample will be obtained. The
eventual decision regarding whether the findings of a given research may be generalized to
a bigger populace depends upon this knowledge. The resultant deliberations depend on
strategies of sampling as well as different sampling techniques. In this section, we will
examine the importance of population and sampling techniques in studying colleagues to
measure their response to the possibility of launching a holiday pay scheme.
A. Defining the Population
Prior to taking a sample, the research must at first define the populace to which they
require generalizing the results of the study. With respect to statistical analysis and research
design, a populace refers to the whole set of people or entities that a researcher aims to
comprehend or more formal, about which a researcher aims to draw a conclusion or
inference. A study population also is referred to as clearly stated collection of persons known
to possess the same attributes. All objects or people in a given population generally have
shared, binding traits or characteristics (Taherdoost, 2016). As a result, defining clearly the
population is interest is an important and necessary part of research design since the manner
in which a population is described determines the scope and nature of inferences ensuing
, from research activity (Acharya, Prakash, Saxena & Nigam, 2013). It’s for the gain of the
population that a research is done. But because of the huge size of the population, a
researcher generally can’t test each person in the population as it is very costly as well as
time consuming. That’s the rationale why a research relies upon sampling techniques, which
will be discussed later in this section.
According to Asiamah, Mensah and Oteng-Abayie (2017), there are two types of
population in research: target population and accessible population. On one side, target
population is the whole set of people to which a research is concerned in generalizing
inferences. A target population normally has different attributes and also is called a
theoretical populace. On the other side, an accessible populace refers to a population in
study to which a researcher may apply his inferences. Such a populace is a subset of a target
population and also is called a study population. From accessible population, a researcher
can draw his sample.
A sample refers to a subset of a population. This idea of a sample emerges from the
incapability of a researcher to test every individual in a certain populace. A sample requires
being quantitative of the populace from which it was obtained and should have perfect size
for warrantying statistical analysis. The primary function of obtaining a sample population is
to enable a researcher to carry out the research to persons from the populace in order that the
findings of their research can be utilized to draw inferences that will apply to the whole
population. It’s much akin to a give and take procedure (Acharya, Prakash, Saxena &
Nigam, 2013). A population provides the sample, and afterward it takes inferences from the
findings drawn from the sample.
B. Sampling Techniques
It will typically be impracticable to research on an entire population, case in point
when performing questionnaire surveys. Sampling is a technique that enables a researcher to
deduce information concerning a population founded upon findings from the population’s
subset, devoid of having to study each person. Decreasing the number of persons is a
