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chi2test_df ([set_expression][ total [] col, row,
observed_value [, expected_value] )
returns the aggregated chi2-test df value (degrees of freedom) for one or two series of values iterated over the
chart dimension(s). See the chi2test_p ([set_expression][ total [] col, row, observed_value [,
expected_value]) (page 785) function for argument descriptions.
The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function
supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function.
Examples:
chi2test_df( Grp, Grade, Count )
chi2test_df( Gender, Description, Observed, Expected )
chi2test_chi2 ([set_expression][ total [] col, row,
observed_value [, expected_value])
returns the aggregated chi2-test value for one or two series of values iterated over the chart dimension(s). See
the chi2test_p ([set_expression][ total [] col, row, observed_value [, expected_value]) (page
785) function for argument descriptions.
The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function
supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function.
Examples:
chi2test_chi2( Grp, Grade, Count )
chi2test_chi2( Gender, Description, Observed, Expected )
The following eight functions apply to independent samples student's t-tests.
TTest_t ([set_expression][ total [] group, value [, eq_
var = true])
returns the aggregated t value for two independent series of values iterated over the chart dimension(s). The
values should be returned by value and be logically grouped via exactly two values in group. If eq_var is
specified as false, separate variances of the two samples will be assumed, else equal variances between the
samples will be assumed. Text values, null values and missing values in value will result in the function
returning null.
The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function
supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function.
Examples:
ttest_t( Group, Value )
ttest_t( Group, Value, false )
TTest_df ([set_expression][ total [] group, value [,
eq_var = true])
returns the aggregated student's t-test df value (degrees of freedom) for two independent series of values iterated
over the chart dimension(s). See the TTest_t ([set_expression][ total [] group, value [, eq_
var = true]) (page 786) function for argument descriptions.
786