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.
Help!
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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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Created by:
SheriDee
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