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27 Cards in this Set
- Front
- Back
Statistics
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the term "statistics" refers to a set of mathematical procedures for organizing, summarizing, and interpreting information
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Population
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the set of all of the individuals of interest in a particular study
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Sample
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a set of individuals selected from a population usually intended to represent the population in a research study
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Variable
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a characteristic or condition that changes or has different values for different individuals
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Data (plural)
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measurements or observations
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Data set
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a collection of measurements or observations
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Datum (singular)
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a single measurement or observation, otherwise known as a score or raw score
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Parameter
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a value, usually numerical, that describes a population, usually derived from measurements of the individuals in the population
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Statistic (a)
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a value, usually numerical, that describes a sample, and is usually derived from measurements of the individuals in the sample
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Descriptive statistics
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statistical procedures used to summarize, organize and simplify data
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Inferential statistics
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techniques that allow us to study samples and then make generalizations about the populations from which they were selected
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Sampling error
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discrepancy or amount of error between a sample statistics and the corresponding population parameter
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Correlational method
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in the correlational method, two different variables are observed to determine whether there is a relationship between them
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Experimental method
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in the experimental method, one variable is manipulated while another variable is observed and measured. to establish a cause-and-effect relationship between the two variables, an experiment attempts to control all the other variables to prevent them from influencing the results
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Independent variable
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the variable that is manipulated by the researcher
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Dependent variable
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the variable that is observed to assess the effect of the treatment
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pre-post studies
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a type of study which measures the same conditions at different points in time
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quasi-independent variable
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in a nonexperimental study, the "independent variable" that is used to create the different groups of scores is often called the "quasi independent variable"
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Constructs
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internal attributes or characteristics that cannot be directly observed, but are useful for describing and explaining behaviour
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Discrete variable
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consists of separate, indivisible categories, such as numbers
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Continuous variable
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a variable that has an infinite number of possible values that fall between any two observed values. is divisible into an infinite number of fractional parts.
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Real limits
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boundaries of intervals for scores that are represented on a continuous number line. the real limit separating two adjacent scores is located exactly halfway between the scores.
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Nominal scale
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consists of a set of categories that have different names. measurements on a nominal scale label and categorize observations, but do not make any quantitative distinctions between observations
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Ordinal scale
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consists of a set of categories that are organized in an ordered sequence. measurements on an ordinal scale rank observations in terms of size or magnitude
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Interval scale
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consists of ordered categories that are all intervals of exactly the same size. equal differences between numbers on a scale reflect equal differences in magnitude, but the zero point on an interval scale is arbitrary and does not indicate a zero amount of the variable being measured
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Ratio scale
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an interval scale with the additional feature of an absolute zero point. with a ratio scale, ratios of numbers do reflect ratios of magnitude
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Real limits
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The boundaries separating the intervals that define the scores for a continuous variable
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