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  <h3>Statistic</h3>
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 A statistic is a measure on the items in a random sample. Since the only reason to ever draw a random sample is to infer something about the population from which it came, it should be clear that when we calculate a given statistic we only do so in order to estimate a corresponding parameter of the population from which the sample was drawn. An example of a statistic is the mean (i.e. average) of the measures in the sample. 
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As indicated by the central limit theorem, the mean of a random sample can be used to estimate the mean of the population from which the sample was taken. 
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<IMG ALIGN=ABSBOTTOM HSPACE=5 WIDTH=333 HEIGHT=256 SRC="/pics/stats/sgisasta.gif" ALT="Samples of statistics"> 
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<button  type="button" class="statglos_preferred_order_entry_button" onclick="chg_middle_pg_content('degrees_of_freedom', '../statglos/')">Degrees of Freedom</button>
<button type="button" class="statglos_preferred_order_entry_button" onclick="chg_middle_pg_content('parameter', '../statglos/')">Parameter</button>
<button type="button" class="statglos_preferred_order_entry_button" onclick="chg_middle_pg_content('population', '../statglos/')">Population</button>
<button  type="button" class="statglos_preferred_order_entry_button" onclick="chg_middle_pg_content('sampling_distribution', '../statglos/')">Sampling Distribution</button>
<button  type="button" class="statglos_preferred_order_entry_button" onclick="chg_middle_pg_content('central_limit_theorem', '../statglos/')">Central Limit Theorem</button>
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