Toolkit for Quantitative Surveys: Difference between revisions

Revision as of 15:31, 26 March 2014

SPSS Statistics is a software package used for statistical analysis. ( Wikipedia )

Statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation. ( Wikipedia )

In statistical inference of observed data of a scientific experiment, the null hypothesis refers to a general or default position: that there is no relationship between two measured phenomena. ( Wikipedia )

A statistical hypothesis test is a method of statistical inference using data from a scientific study. In statistics, a result is called statistically significant if it has been predicted as unlikely to have occurred by chance alone, according to a pre-determined threshold probability, the significance level. ( Wikipedia )

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	* In [[w:statistical inference\|statistical inference]] of observed data of a [[w:scientific experiment\|scientific experiment]], the '''[[w:null hypothesis\|null hypothesis]]''' refers to a general or default position: that there is no relationship between two measured phenomena. ( Wikipedia )		* In [[w:statistical inference\|statistical inference]] of observed data of a [[w:scientific experiment\|scientific experiment]], the '''[[w:null hypothesis\|null hypothesis]]''' refers to a general or default position: that there is no relationship between two measured phenomena. ( Wikipedia )

			* A '''[[w:statistical hypothesis testing\|statistical hypothesis test]]''' is a method of statistical inference using data from a [[w:scientific method\|scientific study]]. In [[w:statistics\|statistics]], a result is called [[w:statistically significant\|statistically significant]] if it has been predicted as unlikely to have occurred by [[w:Luck\|chance]] alone, according to a pre-determined threshold probability, the significance level. ( Wikipedia )