41 const QString& sample1 = QString(),
const QString& sample2 = QString(),
bool paired =
false);
44 bool setSample2(
const QString& colName,
bool paired =
false);
53 double power(
double alpha,
int size = 0);
55 double lcl(
double confidenceLevel);
57 double ucl(
double confidenceLevel);
double pValue()
Definition: tTest.cpp:72
double ucl(double confidenceLevel)
Upper Confidence Limit.
Definition: tTest.cpp:142
double d_s12
Definition: tTest.h:65
virtual QString logInfo()
Definition: tTest.cpp:156
Statistics * d_sample2
Definition: tTest.h:63
Abstract base class for data analysis operations.
Definition: Statistics.h:38
bool d_independent_test
Definition: tTest.h:64
double d_diff
Definition: tTest.h:65
QtiPlot's main window.
Definition: ApplicationWindow.h:133
tTest(ApplicationWindow *parent, double testValue, double level, const QString &sample1=QString(), const QString &sample2=QString(), bool paired=false)
Definition: tTest.cpp:37
void freeMemory()
Frees the memory allocated for the X and Y data sets.
Definition: tTest.cpp:275
int dof()
Returns the degrees of freedom.
Definition: tTest.cpp:48
Student's t-Test.
Definition: tTest.h:35
double power(double alpha, int size=0)
Definition: tTest.cpp:94
bool setSample2(const QString &colName, bool paired=false)
Definition: tTest.cpp:236
Abstract base class for statistic tests.
Definition: StatisticTest.h:37
bool setData(const QString &)
Definition: Statistics.cpp:64
double lcl(double confidenceLevel)
Lower Confidence Limit.
Definition: tTest.cpp:127
double statistic()
Definition: tTest.h:49
bool setSample1(const QString &colName)
Definition: tTest.h:43
double t()
Definition: tTest.cpp:56