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QlikView Reference Manual.pdf - QlikCommunity - QlikView

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TTest_conf ([set_expression][ total [] group, value [,<br />

sig = 0.025 [, eq_var = true]])<br />

returns the aggregated t value for two independent series of values iterated over the chart dimension(s). The<br />

two-tailed level of significance can be specified in sig. If omitted sig will be set to 0.025, resulting in a 95%<br />

confidence interval. See the TTest_t ([set_expression][ total [] group, value [, eq_var = true])<br />

(page 786) function for descriptions of the other arguments.<br />

The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function<br />

supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function.<br />

Examples:<br />

ttest_conf( Group, Value )<br />

ttest_conf( Group, Value, false )<br />

TTest_lower ( [set_expression] [ total [] group, value<br />

[, sig = 0.025 [, eq_var = true]])<br />

returns the aggregated value for the lower end of the confidence interval for two independent series of values<br />

iterated over the chart dimension(s). See the TTest_t ([set_expression][ total [] group, value [,<br />

eq_var = true]) (page 786) and TTest_conf ([set_expression][ total [] group, value [, sig =<br />

0.025 [, eq_var = true]]) (page 788) functions for argument descriptions.<br />

The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function<br />

supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function.<br />

Examples:<br />

ttest_lower( Group, Value )<br />

ttest_lower( Group, Value, false )<br />

TTest_upper ([set_expression][ total [] group, value [,<br />

sig = 0.025 [, eq_var = true]])<br />

returns the aggregated value for the upper end of the confidence interval for two independent series of values<br />

iterated over the chart dimension(s). See the TTest_t ([set_expression][ total [] group, value [,<br />

eq_var = true]) (page 786) and TTest_conf ([set_expression][ total [] group, value [, sig =<br />

0.025 [, eq_var = true]]) (page 788) functions for argument descriptions.<br />

The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function<br />

supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function.<br />

Examples:<br />

ttest_upper( Group, Value )<br />

ttest_upper( Group, Value, false )<br />

The following eight functions apply to two independent samples student's t-tests where the input data series<br />

is given in weighted two-column format.<br />

TTestw_t ([set_expression][ total [] weight, group,<br />

value [, eq_var = true])<br />

returns the aggregated t value for two independent series of values iterated over the chart dimension(s). The<br />

values should be returned by value and be logically grouped via exactly two values in group. Each value in<br />

788

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