Basic Statistical Tool : When to Use

Statistical Analysis is an important tool for a Physiologist, Senior Manger, Politicians and for all key persons to predict the happening in future. Every 4 year, Americans suffer through an affiliation known as presidential election.Now a day different statistical software is available for predication and analysis. In This Blog, we will discuss about uses of some of the basic statistical tool followed by practice on SPSS(SPSS is a software for Statistical analysis).

Here we will discuss , aboubt following statistical tools

Number of Dependent Variables	Number of Independent Variables	Type of Dependent Variable(s)	Type of Independent Variable(s)	Measure	Test(s)	SPSS	SAS	Excel
1	0 (1 population)	continuous normal	not applicable (none)	mean	one-sample t-test	SPSS	SAS	Excel
		continuous non-normal		median	one-sample median	SPSS	SAS	Excel
		categorical		proportions	Chi Square goodness-of-fit, binomial test	SPSS	SAS	Excel
	1 (2 independent populations)	normal	2 categories	mean	2 independent sample t-test	SPSS	SAS	Excel
		non-normal		medians	Mann Whitney,	SPSS	SAS	Excel
					Wilcoxon rank sum test	SPSS	SAS	Excel
		categorical		proportions	Chi square test	SPSS	SAS	Excel
					Fisher's Exact test	SPSS	SAS	Excel
	0 (1 population measured twice) or 1 (2 matched populations)	normal	not applicable/ categorical	means	paired t-test	SPSS	SAS	Excel
		non-normal		medians	Wilcoxon signed ranks test	SPSS	SAS	Excel
		categorical		proportions	McNemar, Chi-square test	SPSS	SAS	Excel
	1 (3 or more populations)	normal	categorical	means	one-way ANOVA	SPSS	SAS	Excel
		non-normal		medians	Kruskal Wallis	SPSS	SAS	Excel
		categorical		proportions	Chi square test	SPSS	SAS	Excel
	2 or more (e.g., 2-way ANOVA)	normal	categorical	means	Factorial ANOVA	SPSS	SAS	Excel
		non-normal		medians	Friedman test	SPSS	SAS	Excel
		categorical		proportions	log-linear, logistic regression	SPSS	SAS	Excel
	0 (1 population measured 3 or more times)	normal	not applicable	means	Repeated measures ANOVA	SPSS	SAS	Excel
	1	normal	Countinous		correlation simple linear regression	SPSS	SAS	Excel
		non-normal			non-parametric correlation	SPSS	SAS	Excel
		categorical	categorical or continuous		logistic regression	SPSS	SAS	Excel
			continuous		discriminant analysis	SPSS	SAS	Excel
	2 or more	normal	continuous		multiple linear regression	SPSS	SAS	Excel
		non-normal
		categorical			logistic regression	SPSS	SAS	Excel
		normal	mixed categorical and continuous		Analysis of Covariance	SPSS	SAS	Excel
					General Linear Models (regression)	SPSS	SAS	Excel
		non-normal
		categorical			logistic regression	SPSS	SAS	Excel

Source : The University of Albana,Health Science. (2000, Dec 01). Retrieved Dec 05, 2010, from Choosing the Correct Statistical Test: http://bama.ua.edu/~jleeper/627/choosestat.html