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chapter 1.1-1.3

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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Question
Answer
Statistics   The science of planning studies and experiments, obtaining data, organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on the data.  
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Data   Collections of observations. Examples: measurements, genders, survey responses  
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Population   The complete collection of all individuals to be studied  
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Census   Collection of data from every member of a population  
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Sample   Subcollection of members selected from a population  
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Voluntary Response Sample   A sample for which the respondents themselves decide whether to be included.  
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Context   Description of what the values represent.  
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Source   The researchers geting all the data.  
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Sampling Method   The samples that you choose to use to collect sample data. Example: Voluntary response sample  
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Conclusions   Making statements that are clear to those without any understanding of statistics and its terminology.  
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Pratical Implications   A practical conclusion. A statement that could be true.  
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Statistical Significance   a statistical assessment of whether observations show a pattern rather than being just a chance.  
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Practical Significance   a limit where an observed difference is of some practical use in the real world  
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Parameter Vs. Statistic   Parameter: numerical measurement describing some characteristic of a population. Statistic: numerical measuremetn describing some characteristic of a sample.  
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Quantitative Vs. Categorical   Quantitative data: consiste of numbers representing counts or measurements. Categorical data: consists of names or labels that are not numbers representing counts or measurements.  
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Discrete Vs. Continuous   Discrete data result when the number of possible valuse is either a finite number or a "countable" number. Continuous data result from infinitely many possible values that correspond to some continuous scale that covers a range of values without gaps,  
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Levels of Measurements   Ratio, interval, Nominal, Ordinal  
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Nominal   Categories only. Data cannot be arranged in an ordering scheme.  
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Ordinal   Categories are ordered, but differences can't be found or are meaningless.  
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interval   Differences are meaningful, but there is no natural zero starting point and ratios are meaningless  
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Ratio   Theres is a natural zero starting point and ratios are meaningful.  
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Created by: crickie11
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