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Individuals are the objects described by a set of data. |
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not consistent or having a fixed pattern; liable to change |
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A variable that takes numerical values for which arithmetic makes sense, for example, counts, temperatures, weights, amounts of money, etc. |
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In statistics and quantitative research methodology, levels of measurement or scales of measure are types of data that arise in the theory of scale types developed by the psychologist Stanley Smith Stevens. The types are nominal, ordinal, interval, and ratio. |
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Population statistics is the use of statistics to analyze characteristics or changes to a population. It is related to social demography and demography. Population statistics can analyze anything from global demographic changes to local small scale changes. ... |
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set of data collected and/or selected from a statistical population by a defined procedure. |
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levels of measurement or scales of measure are types of data that arise in the theory of scale types developed by the psychologist Stanley Smith Stevens. The types are nominal, ordinal, interval, and ratio. |
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statistical data type consisting of numerical scores that exist on an ordinal scale, i.e. ... |
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Data that is divided into ranges and in which the distance between the intervals is meaningful. |
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levels of measurement or scales of measure are types of data that arise in the theory of scale types developed by the psychologist Stanley Smith Stevens. The types are nominal, ordinal, interval, and ratio. |
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Descriptive statistics is the discipline of quantitatively describing the main features of a collection of data, or the quantitative description itself. |
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In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation. |
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a function that represents the distribution of many random variables as a symmetrical bell-shaped graph. |
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a quantity calculated to indicate the extent of deviation for a group as a whole. |
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another term for scatter diagram. |
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dependence refers to any statistical relationship between two random variables or two sets of data. Correlation refers to any of a broad class of statistical relationships involving dependence |
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a number between -1 and +1 calculated so as to represent the linear dependence of two variables or sets of data. |
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Coefficient of determination |
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R² and pronounced R squared, indicates how well data points fit a line or curve. ... |
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statistical errors and residuals are two closely related and easily confused measures of the deviation of an observed value of an element of a statistical sample from its "theoretical value". ... |
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Describe at least two factors that influence relationships between two variables and can lead to misinterpretation of data analysis. |
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Statistics. a procedure for determining a relationship between a dependent variable, as predicted success in college, and an independent variable, as a score on a scholastic aptitude test, for a given population. The relationship is expressed as an equation for a line (regres·sion·line) or curve (regres·sion·curve) in which any coefficient (regression coefficient) of the independent variable in the equation has been determined from a sample population. |
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the smallest possible value for the sum of the squares of the residuals. |
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Exploratory research of research conducted for a problem that has not been clearly defined. Exploratory research helps determine the best research design, data collection method and selection of subjects. It should draw definitive conclusions only with extreme caution |
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statistics a more modern term for dependent variable
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the process of estimating, beyond the original observation interval, the value of a variable on the basis of its relationship with another variable. |
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the process of determining the value of a function betweentwo points at which it has prescribed values. |
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