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Elementary Statistics using Excel

Quiz yourself by thinking what should be in each of the black spaces below before clicking on it to display the answer.
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Term
Meaning
Parameter   Measured characteristic of a population  
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Statistic   Measured characteristic of a sample  
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Statistics   Collection of methods for planning experiments, obtaining data, organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on data  
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Population   Complete and entire collection of elements to be studied  
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Census   Collection of data from every element in a population  
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Sample   Subset of a population  
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Discrete data   Data with the property that the number of possible values is either a finite number or a  
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Continuous data   Data resulting from infinitely many possible values that correspond to some continuous scale that covers a range of values without gaps, interruptions or jumps  
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Ordinal   Level of measurement of data; characterizes data that may be arranged in order, but differences between data values either cannot be determined or are meningless  
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Interval   Level of measurement of data; characterizes data that can be arranged in order and for which diffeences between data values are meaningful  
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Self-selected sample   Sample in which the respondents themselves decide whether to be included; also called voluntary response sample  
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Observational Study   Study in which we observe and measure specific characteristics, but don't attempt to manipulate or modify the subjects being studied  
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Experiment   Application of treatment followed by observation of its effects on the subjects  
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Confounding   A situation that occurs when the effects from two or more variables cannot be distinuished from each other  
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Random Sample   Sample selected in a way that allows every member of the population to have the same chance of being chosen  
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Simple Random Sample   Sample of a particular size selected so that every possible sample of the same size has the same chance of being chosen  
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Systematic Sampling   Sampling in which every kth ( such as every 50th) element is selected  
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Convenience Sampling   Sampling in which dataa are selected because they are readily available  
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Stratified Sampling   Sampling in which samples are drawn from each stratum (class)  
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Cluster Sampling   Dividing the population area into sections (or clusters), then randomly selecting a few of those sections, and then choosing all the members from those selected sections  
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Sampling Error   Difference between a sample result and the true population result; results from chance sample fluctuations  
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Nonsampling Errors   Errors from external factors not related to sampling  
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Data   Observations (such as measurements, genders, survey responses) that have been collected  
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Statistics   A collection of methods for planning experiments, obtaining data and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on the data.  
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Statistics   (blank)  
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Population   The complete collection of all elements (scores, people, measurements, and so on) to be studied. it includes all subjects to be studied.  
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Census   The collection of data from every member of the population  
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Sample   A subcollection of members selected from a population  
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