Inferential:
Eric Lindblom
Cognitive Science Systems
Harvard University
To Infer: to bring into
"Etymology: Middle French or Latin; Middle French inferer, from Latin inferre, literally, to carry or bring into, from in- + ferre to carry -- more at BEAR transitive verb
1 : to derive as a conclusion from facts or premises "
http://www.m-w.com/dictionary/Infer
Inferential Statistics
"Inferential statistics or statistical induction comprises the use of statistics to make inferences concerning some unknown aspect of a population. It is distinguished from descriptive statistics."
http://en.wikipedia.org/wiki/Inferential_statistics
Geometric and Inferential Calculus
modelingnts.la.asu.edu
Geometric Calculus
"Geometric Calculus is a mathematical language for expressing and elaborating geometric concepts.
Spacetime algebra is an application of this language to physical space and time.
It is the core of a universal language for physics, providing invariant formulations of basic equations and a powerful computational engine for deducing their consequences."
http://modelingnts.la.asu.edu/
Inferential Calculus
"Inferential Calculus integrates deductive and statistical inference into a coherent system for matching scientific s to empirical data.
It provides a unified framework for data analysis, image/signaling processing and hypothesis testing from incomplete data.
Thus, it supports the semantic bridge between theoretical constructs and empirical realities. "
http://modelingnts.la.asu.edu/
Inferential Calculus
"Inferential Calculus integrates deductive and statistical inference into a coherent system for matching scientific s to empirical data."
modelingnts.la.asu.edu/GC_R&D.html
http://www.wikiseek.com/index.php?q=Calculus&b=90
Inferential Statistics
"With inferential statistics, you are trying to reach conclusions that extend beyond the immediate data alone. For instance, we use inferential statistics to try to infer from the sample data what the population might think. Or, we use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study. Thus, we use inferential statistics to make inferences from our data to more general conditions; we use descriptive statistics simply to describe what's going on in our data.
Here, I concentrate on inferential statistics that are useful in experimental and quasi-experimental research design or in program outcome evaluation. Perhaps one of the simplest inferential test is used when you want to compare the average performance of two groups on a single measure to see if there is a difference."
http://www.socialresearchmethods.net/kb/statinf.php
Inferential Statistics
"Inferential statistics are used to draw inferences about a population from a sample. Consider an experiment in which 10 subjects who performed a task after 24 hours of sleep deprivation scored 12 points lower than 10 subjects who performed after a normal night's sleep. Is the difference real or could it be due to chance? How much larger could the real difference be than the 12 points found in the sample? These are the types of questions answered by inferential statistics.
There are two main methods used in inferential statistics: estimation and hypothesis testing. In estimation, the sample is used to estimate a parameter and a confidence interval about the estimate is constructed."
http://davidmlane.com/hyperstat/A29136.html
Note: Once an inference is derived, a can be created.
Lindblom
Notes on ing Theory
- Abstract. ing Theory provides common ground for interdisciplinary research in science education and the many branches of cognitive science, with implications for scientific practice, instructional design, and connections between science, mathematics and common sense.
http://modelingnts.la.asu.edu/html/Modeling.html
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