BackFundamental Concepts in Statistics: Population, Sample, and Sample Mean
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Population and Sample in Statistics
Definition of Population
In statistics, the population refers to the entire set of individuals, items, or data points that are of interest in a particular study. The population is the complete group from which a sample may be drawn for analysis.
Population (N): The total number of observations or elements under consideration.
Example: All students enrolled in a university during a given semester.
Definition of Sample
A sample is a subset of the population, selected for the purpose of analysis. Samples are used to make inferences about the population when it is impractical or impossible to study the entire group.
Sample (n): A smaller group chosen from the population.
Example: 100 students randomly selected from the university for a survey.
Sample Mean
Definition and Calculation
The sample mean is a measure of central tendency, representing the average value of the observations in the sample. It is used to estimate the population mean.
Formula for Sample Mean:
Where:
= sample mean
= number of observations in the sample
= value of the i-th observation
Example: If a sample contains the values 4, 5, 6, and 7, then the sample mean is:
Relationship Between Population and Sample
Purpose of Sampling
Sampling allows statisticians to draw conclusions about a population without examining every member. The sample mean is used as an estimate of the population mean, and the accuracy of this estimate depends on the sample size and sampling method.
Key Points:
The population mean is often denoted by .
The sample mean is an unbiased estimator of if the sample is random and representative.
Tabular Representation
The following table summarizes the differences between population and sample:
Aspect | Population | Sample |
|---|---|---|
Size | N (large, often unknown) | n (smaller, known) |
Mean | ||
Purpose | Describes entire group | Estimates population parameters |
Additional info: Some content was inferred from context and standard statistical definitions due to unclear handwriting and fragmented notes.