# Population Sample Parameter Statistic.edited

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Population, Sample, Parameter, Statistic
Student’s First Name, Middle Initial(s), Last Name
Institutional Affiliation
Course Number and Name
Instructor’s Name and Title
Assignment Due Date

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Population, Sample, Parameter, Statistic
In statistics, population denotes the entire collection of individuals, objects, or data that
the researcher wants to investigate (Brereton, 2015). All patients admitted to a hospital in one
year can be described as a population. On the other hand, a sample is a portion of individuals,
objects, or data constituting the population of interest (Brereton, 2015). An example of a sample
is a portion of the total number of patients admitted to a hospital in one year. It is usually not
practical to study an entire population. It is for this reason that most scientific research is
conducted on samples, rather than populations. A parameter denotes a measure or characteristic
used to describe a population. A statistic is similar to parameter except that it is a descriptive
measure of a sample (Boston University of Public Health, 2016). The mean body weight of all
patients in a hospital is a parameter while the mean body weight of a portion of the patient
population in a hospital is a statistic.
One of the ways in which researchers use statistics is to employ procedures that are
designed to organize, summarize, and derive sense from measurements and data. These
procedures are referred to as descriptive statistics, and they are usually used to quantitatively
express the phenomenon that the researcher is measuring (Streiner, 2017). The mean of the
amount of alcohol consumed in milliliters by the participants in a study is an example of a
descriptive statistic. Graphs, tables, or single values can be used to present descriptive statistics.
On the other hand, inferential statistics denote the procedures that are employed to generalize the
observations that are made on a sample to the population from which it was obtained. Inferential
statistics use sample statistics to make inferences on what a given population's parameters are
(Streiner, 2017). In other words, a sample is extracted from a population to help to learn more

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1 Population, Sample, Parameter, Statistic Student’s First Name, Middle Initial(s), Last Name Institutional Affiliation Course Number and Name Instructor’s Name and Title Assignment Due Date 2 Population, Sample, Parameter, Statistic In statistics, population denotes the entire collection of individuals, objects, or data that the researcher wants to investigate (Brereton, 2015). All patients admitted to a hospital in one year can be described as a population. On the other hand, a sample is a portion of individuals, objects, or data constituting the population of interest (Brereton, 2015). An example of a sample is a portion of the total number of patients admitted to a hospital in one year. It is usually not practical to study an entire population. It is for this reason that most scientific research is conducted on samples, rather than populations. A parameter denotes a measure or characteristic used to describe a population. A statistic is similar to parameter except that it is a descriptive measure of a sample (Boston University of Public Health, 2016). The mean body weight of all patients in a hospital is a parameter while the mean body weight of a portion of the patient population in a hospital is a statistic. One of the ways in which researchers use statistics is to employ procedures that are designed to organize, summarize, and derive sense from measurements and data. These procedures are referred to as descriptive statistics, and they are usually used to quanti ...
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