Basic Population Analysis Help

Basic Population Analysis Help

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Basic population analysis is a critical area is statistics. It provides insights into the various matters pertaining to the population. The Statistics tutors at aim to facilitate the understanding of all the concepts under this subject. Students struggling with their assignments can avail of our basic population analysis help and get the relief that they need.

An overview of basic population analysis

Our statistics assignment helpers define a population as an entire pool from which a statistical sample can be drawn. A population can be people, measurements, events, or even objects. Thus, we can also say that it is an aggregate observation of subjects classified together by a specific or common feature. When using a sample, errors inform the researchers how far their estimate deviates from the actual population. However, analysts carrying out statistical analysis on a population have no errors to report because they already know the real value.

Statisticians use several characteristics to define a population. These characteristics are used to draw conclusions about the subjects or objects in the study. Populations can be divided into:

  • Vague

This type of population is defined vaguely. For example, the total number of business startups in Europe, the number of newborn babies in Africa, the average height of all football players in the world, and so on.

  • Specific

A population definition can also be precise. For example, the number of newborn babies in Africa who are below 5kgs, the average height of all female football players in England, and the number of business startups in Europe that failed in less than three years, among others.

To draw the most concise and precise conclusion, researchers strive to know the characteristics of all the entities in a population. Most of the times, this is impractical and impossible. However, a sample drawn from the population can be used instead. For example, if a company with 50,000 clients wanted to know if all their customers are happy with their services, it might be impractical, costly, and challenging to call each one of them on the phone. The company can take a sample from its client population and draw conclusions based on their findings.

Population samples

A sample is a smaller group drawn from a population. It is a random selection of members who have the characteristics of the entire population. An analyst attributes the conclusions and observations made against a sample to the population.

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    Population parameter

    Population parameters are data and statistics taken from a population. Examples are averages and standard deviations that can be used to make an educated guess about a population.

    Population analysis includes a set of methods that supports the measurement of dimensions and dynamics of a population. These methods were developed to study human demography. According to our basic population analysis homework experts, the size of a population can change over time through factors such as death, migration, and birth. Researchers usually use demographic records to estimate and establish the size of a population.

    The three demographic processes

    • Mortality –The number of deaths recorded in a population
    • Fertility – Number of births within a population
    • Migration – This is the movement of people out or into a geographical region

    The governments and other planners need to be acquainted with the composition and changes in the population to provide better services. They need critical information on the age of residents, level of education, gender, occupation, living arrangements, marital status to cater to the diverse needs of the residents.

    Application of Population Analysis

    • Private sector

    Businesses and other private sector players use demographic information to know the characteristics and data of their clients. This information is valuable because it helps the companies to:

    • Identify markets and locations that can generate more profits for their commodities
    • Carry out production analysis
    • Set up their retail shops in sites with expected growth
    • Craft advertising strategies
    • Understand the characteristics of potential clients
    • Conduct strategic planning
    • Track the anticipated growth or decline of markets
    • Determine the products that are most likely to be successful in the target market
    • Find new markets

    The private sector mostly uses demographic analysis to understand the indicators of purchasing behavior. The characteristics and composition of a population can point the firms to profitable locations for their goods and services.

    • Public sector planning

    Planning decisions are usually made based on many factors. The public sector use population analysis information to plan in the following ways:

    • Establish the demand of services by different segments of the population. For example, a population with many women between 20 and 35 may require health services for fertility and childbearing. To determine the composition of a population, the public sector looks at factors such as education and income levels, marital status, types of household, age and sex distribution, etc.
    • The planners also examine the future and present demographic composition to provide services that meet the needs of the locals
    • Determine the feasibility of new projects and programs. For example, a village may need a new hospital or school.
    • Study the impact of new plans on the population. For example, setting up an industry in a rural area may lead to population growth and more job opportunities. is the home of all statistics homework help. We have highly qualified and experienced experts who can help you with your basic population analysis assignment. Here is a sample of an assignment prepared by our eminent experts:

    1. Assume that you are an area health planner and design a primary health care plan for your district.


    You can use the following demographic analysis and information to develop the plan

    Demographic Analysis and Planning Process: Health Care
    Planning process Population analysis
    Identify the challenges and needs ü  Study mortality trends and causes of death

    ü  Examine maternal healthcare and fertility

    ü  Estimate the total population size by age-sex structure. This provides insights on the various health needs among different health groups

    Goals and objectives Gather data to establish objectives for:

    ü  Size of population

    ü  Composition of the population

    ü  Geographic distribution

    ü  Population projection


    Generate alternative strategies Gather information regarding the location and size and composition of the target population to design alternative strategies. Doing this will help in achieving the set objectives.
    Plan of action and implementation Collect population data to determine:

    ü  Demand for amenities and other services

    ü  Number of staff, resources and facilities needed

    Location of the new facilities

    Evaluation and monitoring Using demographic indicators, measure if the objectives have been achieved: This can include:

    ü  Infant mortality rate

    ü  Death rates of specific age groups

    ü  Fertility rates of a particular age group

    ü  Morbidity statistics

    For more detailed sample solutions, check out the free samples on our website. If you are not familiar with the requirements of your assignment, do not hesitate to avail of our service. On our messaging facility, just type, “do my statistics assignment.” Our customer support team will get back to you and link you to one of our seasoned statistics experts.

    Our statistics project help service covers the following topics and many more:

    • The construction, interpretation, and uses of life tables.
    • Nuptiality and Reproductivity
    • The basic measurement of migration
    • Component population projections
    • The measurement and analysis of fertility and birth intervals.
    • Natural fertility and the proximate determinants of fertility
    • Bongaarts’ framework
    • Cohort and period approach to measurement
    • The use of models in demography