bitest.hlp

是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到

{smcl}
{* 25jan2005}{...}
{cmd:help bitest}, {cmd:help bitesti} {right:dialogs:  {bf:{dialog bitest}}  {bf:{dialog bitesti}}}
{hline}

{title:Title}

{p2colset 5 19 21 2}{...}
{p2col :{hi:[R] bitest} {hline 2}}Binomial probability test{p_end}
{p2colreset}{...}


{title:Syntax}

{p 8 15 2}
{cmd:bitest}
	{varname} {cmd:==} {it:#p} {ifin} {weight}
	[{cmd:,} {opt d:etail}]

{p 8 16 2}
{cmd:bitesti}
	{it:#N} {it:#succ} {it:#p} [{cmd:,} {opt d:etail}]

{phang}
{opt by} may be used with {cmd:bitest} (but not with {cmd:bitesti}); see 
{help by}.

{phang}
{opt fweight}s are allowed with {cmd:bitest}; see {help weight}.


{title:Description}

{pstd}
{cmd:bitest} performs exact hypothesis tests for binomial random variables.
The null hypothesis is that the probability of a success on a single trial is
{it:#p}.  The total number of trials is the number of nonmissing values of
{it:varname} (in {cmd:bitest}) or {it:#N} (in {cmd:bitesti}).  The number of
observed successes is the number of 1s in {it:varname} (in {cmd:bitest}) or
{it:#succ} (in {cmd:bitesti}).  {it:varname} must contain only 0s, 1s, and
missing.

{pstd}
{cmd:bitesti} is the immediate form of {cmd:bitest}; see {help immed} for a
general introduction to immediate commands.


{title:Option}

{dlgtab:Advanced}

{phang}
{opt detail} shows the probability of the observed number k_obs of successes,
the probability of the number k_opp of successes on the opposite tail of the
distribution that is used to compute the two-sided p-value, and the
probability of the point next to k_opp.  This information can be safely
ignored.


{title:Examples}

{phang}{cmd:. bitest c_rate == 0.3}

{phang}{cmd:. bitest quick == 0.3, detail}

{phang}{cmd:. bitesti 10 3 .5}

{phang}{cmd:. bitesti 2500000 36 .000001}


{title:Also see}

{psee}
Manual:  {bf:[R] bitest}

{psee}
Online:  {helpb ci}, {helpb prtest}
{p_end}