What is the difference between Parameter and Statistic? A statistic and a parameter are quite similar. They are both describing any of particular groups, like “50% of homeowners prefer Y brand home developers.” The difference between a statistic and a parameter is that statistics describe a sample. A parameter describes an entire population.
Difference between Parameter and Statistic are showing below.
| No. | Parameter | Statistic |
| 1 | Any function of the population values is called the parameter. | Any function of the sample observation is called statistics. |
| 2 | The parameter is an unknown constant. | The statistic does not contain unknown constant. |
| 3 | Parameters are not used to estimate population characteristics. | Statistics are used to estimate population characteristics ( such as parameters). |
| 4 | Parameters are free from sampling and other errors. | Statistics are subject to sampling and non-sampling error. |
| 5 | There is no distribution of parameters. | Statistics have distribution, which is called sampling distribution. |
| 6 | The population mean μ, Variance σ2 etc are called parameter. | The sample mean, variance σ2, etc. are called statistics. |
| 7 | In the case of parameters, the Greek letter “mu” represents the population mean. | In the case of statistics, the “x-bar” symbol represents the sample mean, and most other notations differ too. |
Page Contents
Parameter and Statistic
Here, Summarized Differences are mentioned.
Here, Summarized Differences are mentioned in showing an example.
Symbolic expressions related to Parameter and Statistic.
Estimator.
When Statistics is used to estimate a parameter is called an estimator.
Estimate.
Any particular value of an estimator is called an estimate.
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What is the difference between Parameter and Statistic?
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