# Preliminaries

This is a brief guide on how to use R and functions in tigerstats and related packages to do some very basic inferential statistics. We will give “templates” for the functions, accompanied by no-frills examples of their use. Consult the function tutorials or other Help documents to learn more about the options for each function.

# One Factor Variable

## Two Values

We recommend binomtestGC(). The template is:

$binomtestGC(\sim variable,data=MyData,p=NullBelief).$

binomtestGC(~sex,data=m111survey,
p=0.50,
alternative="two.sided",
success="female")

## More Than Two Values

chisqtestGC() is the function to use. The template is:

$chisqtestGC(\sim variable,data=MyData,p=NullProbs).$

chisqtestGC(~seat,data=m111survey,p=c(1/3,1/3,1/3))

# Two Factor Variables

## Both Variables Have Two Values

If both the explanatory and response variable have two values each, then you might want proptestGC(). The template is:

$proptestGC(\sim explanaotry + response, data=MyData,p=0).$

proptestGC(~sex+love_first,data=m111survey,
p=0,
alternative="two,sided")

## One or Both Variables Have More Than two Values

If one or more of the variables has more than two values, stick with chisqtestGC(). The format is:

$chisqtestGC(\sim explanatory + response, data=MyData).$

chisqtestGC(~sex+seat,data=m111survey)

# One Numerical Variable

The function is ttestGC(). Template:

$ttestGC(\sim variable, data=MyData,mu=NullBelief).$

ttestGC(~fastest,data=m111survey,mu=100,
alternative="two.sided")

If the single numerical variable of interest is a difference of two numerical variables, then you are probably interested in the “paired” t-test:

$ttestGC(\sim secondVar - firstVar, data=MyData,mu=0).$

ttestGC(~height - ideal_ht,data=m111survey,
mu=0,
alternative="two.sided")

# One Numerical and One Factor Variable

We assume that the factor variable has two values.

You probably want the “2-sample t-test”. The format is:

$ttestGC(numerical \sim factor, data=MyData,mu=0).$

ttestGC(fastest~sex,data=m111survey,
mu=0,
alternative="two.sided")

# Two Numerical Variables

This topic is not extensively provided for in the tigerstats package, but if you encounter this situation you will want to learn about lm(), the “grown-up” version of lmGC().